Ai Engineer Jobs in Paris, EEA

L’histoire du groupe Theodo et son succès Theodo accompagne depuis 2009 les entreprises innovantes dans la conception, le développement et le déploiement de produits digitaux ingénieux - tels que la plateforme TF1+, l'application LCL Pro ou l'application France Identité Numérique - en tirant parti du meilleur de la technologie et de l’approche Lean.   Theodo connait une croissance exceptionnelle depuis 15 ans : nos équipes rassemblent plus de 700 Theodoers, principalement des Software Engineers, passionnés de technologie et d’amélioration continue.  En 2025, le groupe Theodo génère 100M€ de CA.   Créée en 2016, Theodo Data & AI est l'entité Data et IA de Theodo. Notre ambition est d'accompagner nos clients dans la conception et le déploiement de leur stratégie data ainsi que la recherche et le développement de solutions d’intelligence artificielle à l’état de l’art. L'entreprise est en pleine croissance : chaque année, Theodo Data & AI enregistre une croissance de plus de 30 % de son chiffre d'affaires, ouvrant ainsi de nouvelles opportunités passionnantes pour les Theodoers !

🌰Skello en bref Chez Skello, on développe la solution RH de référence pour planifier et manager les équipes de terrain. En Europe, les équipes de terrain représentent 50 % des travailleurs, mais seulement 20 % des solutions digitales leur sont réellement adressées. Skello est né pour combler ce manque : une plateforme collaborative et intuitive qui simplifie le quotidien des managers et des employés, en optimisant et en automatisant les tâches clés. On met les équipes de terrain au cœur de tout ce que l'on fait. Avec des outils intelligents comme notre Assistant Skello et notre smart planner, on répond directement à leurs besoins uniques. Notre ambition est simple : devenir la solution RH incontournable pour toutes les équipes de terrain en Europe. 🚀 🚀Skello en chiffres   • 7 secteurs clés   • 25 000 entreprises font confiance à Skello aujourd'hui. • 600 000 employés utilisent Skello chaque jour. • L'équipe Skello, c'est plus de 400 collaborateurs. • 3 hubs européens : Paris, Lille et Barcelone 💙 Notre culture d'entreprise On sait que pour atteindre notre mission, il faut vivre nos valeurs chaque jour : SHIFT. 💡 Set the bar higher everyday 🤝 Have each other’s back 🚀 Imagine tomorrow, start today 👟 Focus on customers first 😄 Take work seriously, not ourselves

En quête d’un collectif pionnier, en mode Test & Learn permanent, qui donne réellement les moyens de vos ambitions ? Ne cherche plus ! Chez SFEIR, aucune évolution n’est imposée : tu pilotes ton propre parcours — qu'il soit vertical, horizontal ou transverse  💻 Ton Terrain de Jeu Stack : Python, FastAPI, LangChain, NLP, RAG, VertexAI  SFEIR AI : Un parcours dédié pour maîtriser l'IA générative et le coding agentique Communauté : 140 certifiés Google Cloud, 30 Google Authorized Trainers, 7 Google Developer Experts  🚀 Tes missions  Construire des APIs GenAI unifiées et mutlimodales (texte, image, vidéo, audio) Concevoir des chatbots et des agents conversationnels utilisant le RAG contextuel pour des recommandations hyper-personnalisées Participer à la création de solutions de l’idéation à la production  Concevoir des jumeaux numériques IA pour simuler et optimiser des ecosystèmes complexes  Mettre en place des Data Platforms robustes pour alimenter les modèles, tout en optimisant des pipelines NLP de pointe 🎯 Ton profil Tu as au moins 3 ans d’expérience dont une expérience significative en ML ou GenAI Tu maitrises l’écosystème VertexAI et les concepts clés tels que le RAG, le Fine-tuning et le développement d’agents  Tu es passionné(e) par la veille technologique, tu expérimentes constamment de nouveaux outils et tu as des projets perso ou des contributions Open Source    💙 Pourquoi rejoindre SFEIR ?  Chaque Sfeirian est accompagné(e) par un Engineering Manager  Evolution vers des rôles de Lead GenAI Engineer, Staff Engineer, Principal Engineer ou Engineering Manager Formation continue avec accès à Google Cloud Skills Boost et certifications Participation aux évènements Google CloudCommunauté active avec plus de 50 événements annuels 🛠 Ton Pack Sfeirian Équipement au choix : MacBook Pro ou Dell Precision Prime Vacances : 10% de la valeur des congés pris Prime de participation  Télétravail : mode hybride 5 semaines de congés + 8 à 12 RTT/an Carte ticket restaurant (11€/jour) Mutuelle et prévoyance Abonnement navigo ou remboursement de 70% pour un vélo électrique CSE : participation sports / culture / loisirs, chèques-cadeaux, activités (ski, golf, futsal, ...) Teamstarter : SFEIR verse 10€ par mois sur ta cagnotte personnelle pour financer des projets associatifs ou solidaires

About Mistral  At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited. Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers. About the team The Applied AI team is Mistral's customer-facing technical organization. We work directly with enterprise clients from pre-sales through implementation to deploy cutting-edge AI solutions that deliver measurable business impact. Our team combines deep ML expertise with strong customer engagement skills, operating like startup CTOs who own end-to-end project execution. Our SRE team works transversally across customer engagements, enabling value creation through Mistral tech - at scale. By joining the team you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral's technological vision. About The Job You will be one of the founding engineers of the Applied AI SRE sub-team. Your mission, alongside the team, is to build and operate the framework to ensure Mistral’s solution delivery is reliable and sustainable - and applied uniformly across all our accounts, both Mistral-hosted and customer-hosted. You should already have a strong understanding of what operational excellence looks like, and you’re ready to scale your impact. You will operate in four concurrent modes: - BUILD - Design for a fleet of Mistral platforms and apps. Build proactivity to reduce reactivity. Productize reliability, author runbooks, create SLO templates, implement observability. - RUN - Operate the Tier-1 customer environments that Mistral are contracted to operate. Ensure SLO compliance, own on-call and incident response, manage drift, partner with Technical Support as L3 escalation, champion high signal post-mortems. - ENABLE - Productize how Mistral deploy, secure, and scale our Applied AI solutions. Engineer on-demand provisioning, author security baseline packages, embed security guardrails, automate everything. - SECURE - Own the security operations layer for our customer-side deployments. Lead CVE response across the fleet, ship supply-chain integrity controls (SBOM, signed images, provenance), co-page with InfoSec on security incidents, enforce secure-config baselines. This is a framework-first, fleet management role at heart. If you're excited by the difference between solving one customer's problem and structurally solving the class of problem for every customer, this is the role. How We Work in Applied AI • We care about people and outputs. • What matters is what you ship, not the time you spend on it • Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. • Always ask why. The best solutions come from deep understanding, not from copying what worked before • We say what we mean. Feedback is direct, timely, and given because we care. • No politics. Low ego, high standards. • We embrace an unstructured environment and find joy in it. About you • Fluent in English. • 5+ years in SRE, Production Engineering, or DevOps, with a record of shipping tooling. • Strong multi-tenant Kubernetes fluency, namespace segmentation, network policy, RBAC, admission control, operations at scale. • On-call discipline: incident response, blameless post-mortem culture, runbook-first mindset. • Observability stack in production: Prometheus, Grafana, OpenTelemetry, Loki, Tempo, Signoz. • Infrastructure as code: Terraform, Ansible (or close equivalents). • Proficient in Python and/or Golang for tooling and automation. • Security mindset: you treat secure-SDLC, CVE response, and supply-chain integrity as reliability properties of the shipped artifact, not as someone else's job. • Strong written communication skills: runbooks, post-mortems, and customer-facing incident comms are core deliverables of this role. • Comfortable operating with high autonomy in an ambiguous, fast-paced environment — and disciplined enough to defend the team's scope when work tries to spill in. • Solid Linux internals, networking debug, and distributed-systems fundamentals. Strong plus • Cloud or application security background (AppSec, K8s security, supply chain — SBOM, cosign, SLSA). At least one of our early hires must bring this; if it's you, flag it. • Experience operating LLM / model-serving stacks in production • Experience with multi-cloud or on-prem hybrid customer environments (AWS, GCP, Azure, sovereign clouds). • Open-source contributions, particularly in SRE, observability, or security tooling.     By applying, you agree to our Applicant Privacy Policy.

About Mistral   At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products, and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany, and Singapore. We are creative, low-ego, and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on mistral.ai/careers.   About The Job:   Mistral AI is seeking a Technical Lead, Applied AI to drive the technical strategy, execution, and delivery of complex AI solutions for our enterprise customers. In this role, you will lead a project teams of Applied AI Engineers, ensuring the successful deployment of Mistral AI products and the development of high-impact, scalable AI use cases.   You will act as the primary technical point of contact for our most strategic customers, guiding them through the entire lifecycle—from pre-sales to post-implementation—while collaborating closely with research, product, and engineering teams to shape the future of our offerings.   As a Technical Lead, you will bridge the gap between cutting-edge AI research and real-world enterprise applications, ensuring our solutions are robust, scalable, and aligned with both customer needs and Mistral’s technological vision.   What you will do   - Deliver as an IC the critical lines of codes of our complex projects, you’ll be hands-on and de-risk the critical parts of our complex projects. You’ll stay deeply involved in coding, reviewing, and optimizing AI solutions. - Lead technical teams of Applied AI Engineers, providing mentorship, technical guidance, and best practices for deploying state-of-the-art GenAI applications across industries. - Lead technical discussions during pre-sales, translating customer requirements into actionable solutions and communicating Mistral’s technological advantages to diverse stakeholders. - Design and oversee the implementation of complex AI systems, including fine-tuning, RAG, agentic workflows, and custom LLM applications, ensuring alignment with Mistral’s product roadmap and open-source initiatives. - Drive innovation by identifying emerging trends in AI, evaluating new tools and methodologies, and championing best practices for fine-tuning, inference, and deployment. - Work closely with product managers, researchers, and engineers to ensure seamless integration of customer feedback into Mistral’s product development cycle.   How We Work in Applied AI   - We care about people and outputs. - What matters is what you ship, not the time you spend on it - Bureaucracy is where urgency goes to vanish. You talk to whoever you need to talk to. The best idea wins, whether it comes from a principal engineer or someone in their first week. - Always ask why. The best solutions come from deep understanding, not from copying what worked before - We say what we mean. Feedback is direct, timely, and given because we care. - No politics. Low ego, high standards. - We embrace an unstructured environment and find joy in it.   About you - You are fluent in English. - You hold a PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related field. - You have 7/8+ years of experience in AI/ML, with at least 2+ years in a technical leadership role (e.g., Tech Lead, Engineering Manager, or Solutions Architect) focused on AI products or enterprise solutions. - You have a proven track record of leading teams to deliver complex AI projects, from prototyping to production, in industries such as tech, finance, healthcare, or industrial automation. - You possess deep expertise in fine-tuning LLMs, advanced RAG, agentic systems, and deploying NLP applications at scale. - You are proficient in Python, PyTorch, and modern AI frameworks (e.g., LangChain, Hugging Face). Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools is a plus. - You have strong software engineering skills, including API design, backend/full-stack development, and system architecture. - You excel in technical communication, with the ability to articulate complex concepts to both technical and non-technical audiences, including executives and engineers. - You thrive in fast-paced, collaborative environments and are passionate about mentoring and growing technical talent.   Ideally, you have: - Contributed to open-source projects, particularly in the LLM or AI space. - Experience in customer-facing roles (e.g., Solutions Architect, Customer Engineer, or Technical Product Manager) with a focus on enterprise AI adoption. - A track record of driving technical strategy and influencing product direction based on customer needs and market opportunities.   Why join us? You’ll have the opportunity to shape the future of AI adoption in enterprises, work with a world-class team, and contribute to open-source projects that impact millions. If you’re excited about leading technical innovation and solving real-world challenges with AI, we’d love to hear from you!

About Mistral   At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   About The Job   Mistral AI is seeking an Applied AI Engineer to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   The Applied AI Engineer - Software Engineer will be an integral part of our Applied AI Engineering team, which is dedicated to driving the successful deployment of Mistral AI products. They will work hand-in-hand with customers from the pre-sale stage to post-implementation, ensuring our solutions meet and exceed client expectations.    What you will do   • Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects, integrating cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable and robust full-stack applications, ensuring seamless integration between front-end and back-end systems. • Develop complex use cases with our customers, providing guidance and ensuring the best production integration with back-end and front-end interfaces. • Collaborate with our product and science team to continuously improve our product and model capabilities based on customers’ feedback.   About you   • You are fluent in English • You hold a degree in Computer Science, Software Engineering, or a related field. • You have 2+ years as a technical individual contributor on cutting-edge technologies • You have strong technical coding skills in Python and TypeScript • You have experience with front-end frameworks such as React, NextJS, or VueJS. • You have experience with back-end technologies such as NodeJS. • You have a solid understanding of software development principles, including design patterns, data structures, and algorithms. • You hold strong communication skills with an ability to explain complex technical concepts in simple terms with technical and non-technical audiences   Ideally you have: • Experience with LLM/GenAI models • Contributed to open-source projects or libraries • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect or Technical Product Manager   Benefits We have local offices in Paris, London, Marseille and Singapore.   France   💰 Competitive cash salary and equity 🥕 Food : Daily lunch vouchers 🥎 Sport : Monthly contribution to a Gympass subscription  🚴 Transportation : Monthly contribution to a mobility pass 🧑‍⚕️ Health : Full health insurance for you and your family 🍼 Parental : Generous parental leave policy 🌎 Visa sponsorship   By applying, you agree to our Applicant Privacy Policy.

About Mistral   At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   About The Job   Mistral AI is seeking an Applied AI Engineer focused on DevOps to facilitate the adoption of its products among customers and collaborate with them to address complex technical challenges.   Applied AI Engineers, ML Infra at Mistral AI work directly with customers to quickly understand their greatest challenges and design and implement AI solutions. In this role, you’ll apply your problem-solving ability, creativity, and technical skills to help organizations use AI to drive real impact in the world. You’ll have the opportunity to gain rare insight into and contribute to some of the most important industries and institutions globally!   Applied AI Engineers, ML Infra responsibilities look similar to those of a startup CTO: you’ll work in small teams and own end-to-end execution of high-stakes projects. A day might span discussing architecture with fellow engineers, wrangling massive-scale data, coding a custom web app, speaking with customer executives, or establishing a strategy for the Applied Engineering team.   What you will do   • You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best production setup from the low-level GPU stack up to infrastructure, back-end and front-end interfaces. • You’ll work on deploying state-of-the-art AI applications from consumer products to industrial use cases, driving with our customers a crucial technological transformation. • You’ll work in collaboration with our researchers, other AI engineers, and product engineers on our most complex customer projects involving deployment, scaling, and contributing to our open-source codebases for tasks such as inference and fine-tuning. • You’ll be involved in pre-sales calls to understand potential clients' needs, challenges, and aspirations. You will provide technical guidance on our products and explain Mistral technologies to various stakeholders.   About you   • You are fluent in English • You hold a Bachelor's or Master's degree in Computer Science, Engineering, or a related field • You have 2+ years of experience in a DevOps or Site Reliability Engineering role • You're experienced with deploying and managing AI-based products in production environments • You are fluent in Python • You have experience with containerization technologies such as Docker and Kubernetes • You have experience with CI/CD pipelines and automated deployment tools • You have deep understanding of cloud platforms (AWS, Azure, GCP) and on-premises infrastructure • You are experienced with infrastructure as code (IaC) tools such as Terraform or Ansible • You hold strong communication skills with an ability to explain complex technical concepts in simple terms to technical and non-technical audiences Ideally you have: • Experience as a Customer Engineer, Forward Deployed Engineer, Sales Engineer, Solutions Architect, or Technical Product Manager • Familiarity with AI frameworks such as PyTorch or TensorFlow • Contributions to open-source projects, particularly in the space of DevOps or AI     By applying, you agree to our Applicant Privacy Policy.

About Mistral At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. We are a dynamic, collaborative team passionate about AI and its potential to transform society.   Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   About the Team The Proto Team is the technical pre-sales arm of the GTM organization. We operate at the intersection of product and customer, translating what Mistral’s technology can do into real-world solutions that deliver value fast. We work across three core areas: Deliver for customers: Build high-impact solutions on short timelines that prove value, unlock deals, and generate follow-on revenue. Ship for Mistral internally: Build full-stack applications that unblock teams across procurement, legal, and sales, applying the same engineering rigor to internal needs. Drive product innovation: Act as the product’s reality check. We test early, validate real use cases, push systems to their limits, and both improve and build the product itself. About the Role As an Applied AI Engineer in the Proto Team, you operate as a technical lead building production-grade AI systems in 4 to 8 weeks. You work across GTM, engineering, and applied AI, translating ambiguous business problems into working software. You own architecture, make technical decisions, and ship full-stack systems end to end. You work directly with customers and internal teams, moving from scoping to deployment with high autonomy and high velocity. You also sit close to the product loop: testing new capabilities, pushing systems to their limits, and turning real-world usage into product direction. This role is for fast-moving, highly curious builders who thrive in complexity and ambiguity. You move across domains quickly, ramp on new industries fast, and build with a strong hacker mindset and deep engineering instincts. What you will do Build and deliver full-stack AI solutions for global customers, owning the end-to-end execution from scoping to deployment as technical lead. Engage directly with customers to understand use cases, define requirements, and translate them into robust technical architectures and working systems. Collaborate across GTM, product, and engineering to ship solutions and contribute to internal tools, product improvements, and open-source initiatives. Solve complex applied AI problems across industries, working on real-world GenAI use cases and providing hands-on technical guidance throughout engagements. About You Core Fluent in English. Thrive in ambiguous, fast-paced environments with a strong problem-solving mindset, focused on building robust and scalable solutions. A builder at heart, balancing speed with precision and taking a methodical approach to technical execution. Strong communication skills, able to explain complex technical concepts to both technical and non-technical audiences. Client-focused, with a strong interest in innovation, new technologies, and improving existing systems. Comfortable collaborating across diverse teams and translating client needs into clear, actionable technical plans. Technical Competencies 2+ years experience as a hands-on engineer shipping AI-powered products (ML, software, or full-stack). Strong track record of building and deploying production systems end to end, not just prototypes. Comfortable working across the modern AI stack: LLMs, RAG, agentic systems, and their deployment in real-world applications. Strong software engineering fundamentals in Python, with experience building scalable backend systems (e.g., FastAPI, Pydantic). Working understanding of frontend development (e.g., React or Vue) to build usable interfaces when needed. Broad technical range: able to move fluidly between system design, infrastructure (e.g., Kubernetes), and applied LLM problem-solving, with a strong bias toward shipping. Ideally you have: Built or won hackathons / AI competitions, with a track record of shipping creative solutions under tight deadlines. Experience with Docker, Kubernetes, cloud platforms (AWS or GCP), and infrastructure tooling such as Terraform. Contributed to open-source projects, ideally in the LLM or applied AI space. Strong full-stack + AI experience, having built and shipped end-to-end applications (e.g., FastAPI, Next.js).  

About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include Vibe, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role summary We are seeking an Applied AI Engineer to build the customer-facing cyber service and use-cases on top of our cyber harnesses. You will turn "we have agents" into "we shipped something a client uses." This role is about composing red-team/blue-team agentic workflows, configuring harnesses for real-world scenarios, and delivering value directly to clients. Your work will bridge the gap between our foundational cyber harnesses and the agentic solutions that clients deploy. While SWE-Cyber makes the platform robust and scalable, and Pentesters run the solution and guide the direction, you will focus on building the agentic use-cases and client-facing service that solve real security problems.   What you will do Client-Facing Agentic Solutions • Compose red-team / blue-team agentic workflows for production use-cases • Configure harnesses for cloud defense, vulnerability scanning, dynamic red-teaming, and penetration testing scenarios • Work directly on client use-cases, translating security requirements into agentic solutions • Turn prototype agents into deployed services that clients rely on Context Engineering & Orchestration • Design and implement context engineering that enables agents to operate effectively in cybersecurity domains • Orchestrate multi-agent systems for complex security workflows • Build the agentic layer that sits between the harness and the client Service Delivery • Ship fast and iterate based on client feedback and real-world performance • Operate independently while leveraging internal building blocks and frameworks • Collaborate with pentesters to ensure domain accuracy and effectiveness • Partner with SWE-Cyber to ensure the platform supports your use-case requirements   About you • Strong applied AI engineer with hands-on experience building agents, LLM orchestration, context engineering, evals, and RAG systems • You ship fast, with a bias toward action and delivery • Operate independently with a customer-led mindset • Able to reuse internal components and bricks effectively • Some cyber context is a real plus, but not mandatory - we can pair you with pentesters for domain depth • Strong problem-solving abilities and attention to detail • Excellent communication skills and collaborative attitude It would be ideal if you also have: • Genuine cyber or pentest knowledge • Experience building agentic harnesses or multi-agent systems end-to-end • Strong background in evals and benchmarking of agent systems • Experience with security tooling or workflows • Prior work on production AI systems in regulated or high-stakes environments

About Mistral    At Mistral AI, we believe in the power of AI to simplify tasks, save time, and enhance learning and creativity. Our technology is designed to integrate seamlessly into daily working life.   We democratize AI through high-performance, optimized, open-source and cutting-edge models, products and solutions. Our comprehensive AI platform is designed to meet enterprise needs, whether on-premises or in cloud environments. Our offerings include le Chat, the AI assistant for life and work.   We are a dynamic, collaborative team passionate about AI and its potential to transform society. Our diverse workforce thrives in competitive environments and is committed to driving innovation. Our teams are distributed between France, USA, UK, Germany and Singapore. We are creative, low-ego and team-spirited.   Join us to be part of a pioneering company shaping the future of AI. Together, we can make a meaningful impact. See more about our culture on https://mistral.ai/careers.   Role summary   Embedded directly in a product team as search, chat, documents, or audio, you'll improve AI-powered features through rigorous evaluation, prompt and orchestration design, and rapid experimentation. You'll own your domain's AI quality end-to-end: define what "good" looks like, measure it, run experiments, and ship what works. Work with Science to deliver measurable improvements to quality, latency, safety, and reliability.     What you will do   • Design and run evaluations for your product area: reference tests, heuristics, model-graded checks tailored to search relevance, chat quality, document understanding, or audio performance. • Define and track metrics that matter: task success, helpfulness, hallucination proxies, safety flags, latency, cost. • Own prompt and orchestration design: write, test, and iterate on prompts and system prompts as a core part of your work. • Run A/B tests on prompts, models, and configurations; analyze results; make rollout or rollback decisions from data. • Set up observability for LLM calls: structured logging, tracing, dashboards, alerts. • Operate model releases: canary and shadow traffic, sign-offs, SLO-based rollback criteria, regression detection. • Improve core behaviors in your product area, whether that's memory policies, intent classification, routing, tool-call reliability, or retrieval quality. • Create templates and documentation so other teams can author evals and ship safely. • Partner with Science to diagnose regressions and lead post-mortems.   About you     • 3-4 years of experience; backgrounds that fit well include ML engineers moving closer to product, or software engineers with real AI/ML production experience. • Strong TypeScript or Python skills - we have both tracks depending on team fit. • Production LLM experience: prompts, tool/function calling, system prompts. • Hands-on with evals and A/B testing; you can design metrics, not just run them. • Comfortable implementing directly in product code, not only notebooks. • Observability experience: logging, tracing, dashboards, alerting. • Product mindset: form hypotheses, run experiments, interpret results, ship. • Clear communication, autonomous, and oriented toward production impact over experimentation for its own sake.   It would be ideal if you also have: • Safety systems experience: moderation, PII handling/redaction, guardrails. • Release operations: canary/shadowing, automated rollbacks, experiment platforms. • Prior work on search ranking, chat systems, document AI, or audio ML features.   Hiring Process   • Introduction call - 30 min • Hiring Manager interview - 30 min • Technical Rounds - Live-coding Interview - 45 min - AI Engineering Interview - 45 min • Culture-fit discussion - 30 min • References   By applying, you agree to our Applicant Privacy Policy.

At Meetic, a Match Group company, we have been pioneering online dating for over 20 years, leveraging our legacy to reinvent how people meet, connect, and build meaningful relationships across Europe and beyond.  As part of Match Group, we manage a diverse portfolio of brands, from iconic names like Meetic, Match, Lexa, and LoveScout24 to tailored experiences for singles over 50, OurTime, DisonsDemain, Zweisam, and single parents, Even and Stir.  Our teams design, build, and scale platforms across 20+ countries and 18 languages, ensuring every single finds the right match for their lifestyle and lifestages. We also drive growth for other Match Group brands like The League, OkCupid, Archer, Salams, and Plenty Of Fish, expanding our impact worldwide. When it comes to dating, the connection starts online, but the real magic happens once you meet in real life (IRL). We think the same is true for creating the best platforms, so we work together IRL 3 days / week in our office, 53 rue de Chateaudun, 75009 Paris. Role overview Meetic relies heavily on data to drive and grow its business. As a truly data-driven company, data is our daily compass for decision-making.   The Data Science team sits at the crossroads of the company’s key challenges and makes the most of all the information contained in our data. It is part of Meetic’s Data Hub, which brings together all data-related stakeholders (Data Science, ML/Data Engineers, DBAs, BI).   Our extensive data ecosystem allows us to work across all business domains: profile recommendations for our users, pricing and optimization of business models, optimization of subscription and à-la-carte offers, customer knowledge and experience, detection and prevention of harmful behaviors, marketing analytics and acquisition, image processing …and much more!   Our technical environment: Google Vertex AI, BigQuery, Elasticsearch, Kafka, Scala, Python, Spark, SQL, AWS…   We are looking for creative and passionate people who enjoy working in a dynamic and international environment.

  Qui sommes nous ?   Chez MARGO, nos consultants travaillent sur ce qui compte vraiment : des projets complexes qui allient challenge intellectuel et impact business réel. C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science, Machine Learning et Intelligence Artificielle.   Pourquoi rejoindre la practice IA ?   Vous évoluerez au sein d’une équipe encadrée par Hamza Bouanani, Practice Manager IA chez MARGO, également Lead Data Scientist.   Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à fort impact pour les clients.   Vos missions   Nous recherchons actuellement un AI Engineer spécialisé en AI4Code pour accompagner la transformation de l’ingénierie logicielle chez nos clients. Vous intégrerez notre Practice IA afin de redéfinir l’expérience développeur (DevEx) en combinant l’usage des meilleurs outils du marché et la conception d’agents intelligents sur-mesure. Vous interviendrez sur trois volets majeurs : Déploiement & Optimisation des AI Assistants Intégration, configuration et optimisation des solutions leaders (Copilot, Claude Code, Cursor IDE) au sein des environnements de développement. Définition des stratégies d’usage pour la génération de code, la mise en place de pratiques TDD assistées par l’IA et la documentation automatisée. Accompagnement des équipes de développement : pair-programming avec l’IA, création de guidelines et diffusion des bonnes pratiques pour une adoption efficace et sécurisée. Ingénierie d’Agents IA & AI4Code Conception et développement d’agents autonomes capables d’analyser, générer et transformer du code pour des cas d’usage métiers spécifiques. Mise en œuvre de pipelines agentiques pour la refactorisation à grande échelle : détection de dette technique, proposition d’architectures cibles, modernisation de systèmes legacy et migration de frameworks. Développement de solutions sur-mesure lorsque les outils du marché atteignent leurs limites. Industrialisation & LLMOps Gestion du cycle de vie des solutions IA appliquées au code : versioning des prompts, sécurisation des flux de données et gouvernance des usages. Mise en place de mécanismes d’observabilité pour évaluer la qualité, la fiabilité et la pertinence du code généré. Intégration des solutions dans des environnements de production avec des exigences fortes en matière de sécurité et de scalabilité. Votre rôle inclura également : Veille technologique active : Suivi des évolutions rapides des outils AI4Code, des modèles et des pratiques émergentes autour du développement assisté par l’IA. Cadrage technique : Accompagnement des équipes clients dans l’identification et la priorisation des cas d’usage à forte valeur ajoutée. Best Practices : Contribution à la structuration des standards, méthodes et retours d’expérience au sein de la Practice IA.     Profil recherché   Nous cherchons des ingénieurs passionnés par l'ingénierie logicielle appliquée à l'IA, souhaitant évoluer dans des environnements où la robustesse du code est aussi importante que la performance du modèle.     Formation (Prérequis strict) : Vous êtes titulaire d'un diplôme de niveau Bac+5 (Grande École d'Ingénieur ou Master 2 Universitaire en Informatique, Mathématiques Appliquées ou Intelligence Artificielle). Background Software Engineer : Vous avez une expérience solide en développement (Python, TypeScript, et/ou langages typés comme Java/C#). Vous maîtrisez les principes du Clean Code, du SOLID et de l'architecture logicielle. Expertise AI4Code : Vous connaissez les limites, les capacités de raisonnement et les risques d'hallucination des LLMs actuels (GPT-4o, Claude 3.5, etc.), et vous savez comment en tirer le meilleur parti. Mindset & Pédagogie : Vous êtes capable d'analyser un environnement technique, de concevoir une stratégie claire d'intégration de l'IA et de vulgariser ces concepts auprès d'interlocuteurs techniques et métiers.   Ce que nous offrons   Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ; Un accompagnement de proximité par des experts reconnus ; Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ; Une culture d’exigence technique, de partage des connaissances et de développement continu.     La suite ?   Premier entretien : Échangez avec un recruteur et un business developer Entretien Technique : Montrez vos compétences et recevez un retour d'expérience Entretien de Motivation : Rencontrez un membre du comité de direction     ENGAGEMENT POUR L'INCLUSION MARGO s'engage à offrir des opportunités égales à tous, nous cultivons un environnement de travail inclusif qui valorise la diversité.

Qui sommes-nous ? Chez MARGO, nos consultants travaillent sur ce qui compte vraiment : des projets complexes qui allient challenge intellectuel et impact business réel.C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science, Machine Learning et Intelligence Artificielle. Pourquoi rejoindre la practice IA ? Vous évoluerez au sein d’une équipe encadrée par Hamza Bouanani, Practice Manager IA chez MARGO, également Lead Data Scientist chez BNP Paribas. Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à fort impact pour les clients. Vos missions Nous recherchons actuellement un Ingénieur IA pour intervenir sur un projet stratégique de digitalisation de la production de métriques de risque au sein du équipe pluridisciplinaire menée par un Lead Data Scientist Le projet comprend deux volets principaux : - Predictive Monitoring Contexte : les équipes de production traitent quotidiennement de très gros volumes de données pour générer des indicateurs clés. Le suivi manuel est complexe et ne permet pas toujours de savoir si les objectifs seront respectés. Objectif technique : développer un système capable de prédire chaque jour la probabilité que les indicateurs soient atteints, et identifier automatiquement les maillons faibles de la chaîne de calcul. ROI attendu : faciliter le travail des équipes opérationnelles et améliorer le respect des délais de production. - Agentic AI Framework Contexte : la complexité des outils et des procédures rend difficile la résolution manuelle des incidents. Objectif technique : concevoir plusieurs  IA (système multi agents IA) capables de centraliser la connaissance, répondre aux questions des utilisateurs et proposer des actions correctives automatiques. ROI attendu : assister les équipes opérationnelles au quotidien, réduire leur charge de travail et automatiser certaines tâches répétitives. Vous participerez à la conception et au développement de ces solutions IA et ML, avec un impact concret sur le fonctionnement des équipes et la valeur ajoutée générée. Profil recherché Nous recherchons des ingénieurs et data scientists exigeants, passionnés par l’IA et le Machine Learning, et souhaitant évoluer dans un environnement stimulant : - Formation bac+5 (école d’ingénieur, université) ou PHD; - Solides compétences en Python et bibliothèques IA (LangChain, LangGraph, LangFuse, Chroma, Opensearch)) ; - Connaissances solides des bonnes pratiques de LLMops - Première expérience en Data Science, Machine Learning ou IA appliquée ; - Intérêt marqué pour les environnements complexes où la qualité prime sur la quantité ; - Esprit analytique, goût du challenge et envie de progresser aux côtés des meilleurs. Ce que nous offrons - Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ; - Un accompagnement de proximité par des experts reconnus ; - Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ; - Une culture d’exigence technique, de partage des connaissances et de développement continu. La suite ? Premier entretien : Échangez avec un recruteur et un business developer Entretien Technique : Montrez vos compétences et recevez un retour d'expérience Entretien de Motivation : Rencontrez un membre du comité de direction

Qui sommes nous ? Chez MARGO, nos consultants travaillent sur ce qui compte vraiment : des projets complexes qui allient challenge intellectuel et impact business réel. C’est pourquoi nous accompagnons les plus grands acteurs de la finance, de l’industrie et de la tech sur leurs projets les plus stratégiques en Data Science, Machine Learning et Intelligence Artificielle. Pourquoi rejoindre la practice IA ? Vous évoluerez au sein d’une équipe encadrée par Hamza Bouanani, Practice Manager IA chez MARGO, également Lead Data Scientist chez BNP Paribas. Travailler à ses côtés, c’est intégrer une équipe d’experts passionnés, être challengé sur le plan technique et méthodologique, et contribuer à des projets à fort impact pour les clients. Vos missions Nous recherchons actuellement un AI Engineer pour accompagner la transformation technologique de notre clients. Vous intégrerez une équipe technique d'excellence pour concevoir, déployer et maintenir des solutions d'Intelligence Artificielle Générative à l'état de l'art : Vous interviendrez sur trois volets majeurs : Architectures IA avancées & Agentic AI - Conception et développement d'architectures d'IA Agentique (Agentic AI) capables de raisonnement et d'exécution de tâches complexes en autonomie. - Orchestration de systèmes multi-agents pour répondre à des cas d'usages métiers transverses. - Sélection et fine-tuning des modèles (Open Source ou propriétaires) les plus adaptés aux besoins (performance/coût). Développement & Déploiement RAG - Mise en œuvre de pipelines RAG (Retrieval-Augmented Generation) robustes pour connecter les LLMs aux données d'entreprise. - Gestion de l'indexation vectorielle et optimisation de la recherche sémantique (Vector DBs). - Développement d'APIs et intégration des briques IA dans l'écosystème applicatif existant. Industrialisation & Monitoring (LLMOps) - Mise en production des solutions dans des environnements contraints (sécurité, scalabilité). - Monitoring avancé des solutions basées sur des LLM : mise en place de garde-fous, suivi de la qualité des réponses (hallucinations, pertinence), de la latence et des coûts. - Mise en place de chaînes CI/CD et de pipelines d'évaluation continue des modèles. Votre rôle inclura également : - Veille technologique active : Suivi quotidien de l'évolution rapide de l'écosystème GenAI (nouveaux papiers, frameworks, modèles). - Cadrage technique : Accompagnement des métiers pour qualifier la faisabilité et la pertinence des cas d'usage GenAI. - Best Practices : Contribution à la capitalisation des savoirs au sein de la communauté Tech de Margo. Profil recherché Nous cherchons des ingénieurs passionnés par l'ingénierie logicielle appliquée à l'IA, souhaitant évoluer dans des environnements où la robustesse du code est aussi importante que la performance du modèle. - Formation : Bac+5 (école d’ingénieur, université) avec une spécialisation en IA ou Informatique. - Compétences Techniques Cœurs : * Maîtrise experte de Python. * Expérience avérée avec les frameworks GenAI (LangChain, LlamaIndex, Haystack, AutoGen, etc.). * Connaissance des bases de données vectorielles (Pinecone, Weaviate, Qdrant, Milvus). - Culture DevOps/LLMOps : Familier avec Docker, Kubernetes et les outils de monitoring de modèles (LangSmith, MLflow, Arize, etc.). - Expérience : Vous avez déjà participé à la mise en production de solutions basées sur des LLMs (pas uniquement des PoC). - Mindset : * Intérêt marqué pour les environnements exigeants où la qualité prime sur la quantité. * Capacité à vulgariser des concepts complexes auprès d'interlocuteurs non-techniques. * Rigueur méthodologique et esprit "Software Craftsmanship". Ce que nous offrons - Des missions ambitieuses et variées, toujours sélectionnées pour leur valeur ajoutée ; - Un accompagnement de proximité par des experts reconnus ; - Une communauté d’ingénieurs passionnés, avec workshops, conférences et échanges réguliers ; - Une culture d’exigence technique, de partage des connaissances et de développement continu. La suite ? Premier entretien : Échangez avec un recruteur et un business developer Entretien Technique : Montrez vos compétences et recevez un retour d'expérience Entretien de Motivation : Rencontrez un membre du comité de direction ENGAGEMENT POUR L'INCLUSION MARGO s'engage à offrir des opportunités égales à tous, nous cultivons un environnement de travail inclusif qui valorise la diversité.

About the team At Equativ, we're on a mission to develop advertising technologies that empower our customers to reach their digital business goals. The impact of Generative AI on the industry is projected to be major, and Equativ has been undergoing a significant transformation to embed this technology at the core of our value proposition. The GenAI team is a new, strategic unit (6–8 people) responsible for the design, development, and deployment of Equativ's entire GenAI stack. It is split into two complementary pillars: Core Platform — designing and building a reusable, industrialized Agentic Platform (MaaS, AaaS — Model/Agent as a Service) to accelerate agent development across the company. Business Feature — the team you'll be joining. We develop and deploy mission-critical AI agents that automate workflows for non-technical internal teams (operations, ad quality, marketplace, finance support, etc.). Our backlog targets people who today rely on manual processes and ad-hoc tooling — your work will give them autonomous, measurable, production-grade AI assistants. This team is part of the R&D department (200+ engineers across Paris, Nantes, Limoges, Krakow, Berlin and North America), all working in an Agile environment.

Ekimetrics est un leader mondial de l'efficacité marketing et commerciale et des solutions d'IA à l'échelle. Depuis 2006, nous aidons les entreprises à optimiser leur marketing et leurs opérations en combinant IA avec expertise business et technologique dans 4 domaines : Marketing & commercial effectiveness, Customer analytics, Operational excellence, AI for sustainability.     Avec une équipe 100% internalisée et des bureaux à Paris, Londres, New York, Hong Kong et Shanghai, nous concevons des solutions sur mesure qui transforment les données en impact positif concret, grâce à une combinaison unique de technologie et de services.    Notre force est de déployer une IA à impact, à grande échelle. Notre mission : mobiliser cette puissance pour répondre aux défis les plus urgents de notre temps. Nous nous engageons pour une IA responsable et frugale, pour garantir un impact constant à grande échelle, et pour rester fidèles à nos valeurs et à notre ADN.      À propos du rôle   Ekimetrics recherche un.e Senior Engineering Manager capable d’incarner l’excellence technique, l’innovation et la vision stratégique. Ce rôle est au cœur de notre offre de développement de solutions sur-mesure pour nos clients et vise à garantir la qualité et la fiabilité technique, ainsi que la cohérence de l’architecture et des choix technologiques.   Vous intervenez comme référent.e technique, bras droit du responsable du développement de solutions data et IA sur-mesure pour nos clients, et comme figure aspirationnelle pour les équipes. Vous êtes reconnu.e pour votre capacité à naviguer sur toute la chaîne de valeur data & IA, du full stack à l’industrialisation de modèles avancés.   Responsabilités principales   Leadership Stratégique & Vision - Co‑construire avec les dirigeants (C‑level) des entreprises que nous accompagnons leur vision Data & IA. - Traduire cette vision en roadmaps technologiques, architectures cibles et stratégies d’implémentation. - Assurer l’alignement entre enjeux business, contraintes techniques et création de valeur mesurable.   Expertise Technique & Garant de l’Architecture   - Être le référent technique sur les projets : choix de la stack, design d’architecture, bonnes pratiques, scalabilité, sécurité. - Superviser la conception et l’implémentation de solutions sur mesure : data pipelines, plateformes cloud, modèles IA, APIs, middleware, MLOps. - Assurer la cohérence technique des projets : montée de version, maintenance, performance, robustesse opérationnelle. - Intervenir sur des projets end-to-end, incluant data engineering, IA, déploiement, monitoring et adoption, ainsi que développement web.   Pilotage de Solutions de Bout en Bout   - Diriger des équipes pluridisciplinaires pour concevoir, développer et déployer des solutions Data & IA de A à Z. - Maîtriser les environnements cloud (Azure, AWS, GCP) et les plateformes modernes (Databricks, Snowflake). - Garantir la qualité technique, la performance et la fiabilité des solutions livrées.   Innovation, Veille & Connexion au Marché   - Être à la pointe des dernières avancées technologiques : nouveaux algorithmes, frameworks, architectures, outils IA/ML, innovations Databricks/Snowflake... - Développer une vision claire des tendances du marché et des meilleures pratiques. - Inspirer les équipes et les clients par une posture d’expert reconnu et connecté à l’écosystème.   Structuration & Leadership d’Équipes   - Contribuer à structurer la fonction custom build pour l’amener à une nouvelle dimension. - Travailler main dans la main avec le Head of Custom Build interne, en tant que bras droit technique. - Encadrer, coacher et faire monter en compétence des équipes de data engineers, ML engineers, développeurs et data scientists. - Insuffler une culture d’innovation, d’excellence technique et de delivery irréprochable.   Profil recherché   - 8–12 ans d’expérience en data/IA, dont un rôle de Head of Data & AI, Forward Deployed Engineer, ou équivalent. - Expérience du pilotage d’équipes pluridisciplinaires. - Expérience démontrée sur des projets IA complexes, de la conception à la mise en production. - Maîtrise des stacks data, middleware et IA, ainsi que des architectures cloud modernes. - Forte curiosité technologique et capacité à anticiper les tendances. - Aptitude à proposer des approches innovantes et pragmatiques. - Aisance avec les dirigeants et capacité à traduire les enjeux business en solutions data/IA. - Profil aspirationnel, dynamique, capable d’incarner la modernité et l’ambition technologique d’Ekimetrics.  

AI is central to 360Learning's strategy: our AI Squad ships agentic features that help users discover, create, and administrate content. As an AI Engineer, you'll architect and ship the next generation of these AI systems, from prototype to production. You will join the AI Squad as its second AI Engineer, working closely with 1 peer AI Engineer, 1 Product Manager, 1 Product Designer, and 4 Full-Stack Developers. You will own the technical strategy for AI features while collaborating directly with product, design, and engineering. Over the last year, we have shipped 5+ AI features powering thousands of users monthly: Catalog Companion: An AI agent performing bulk catalog operations (sharing, archiving, tagging, author assignments) Smart Search: conversational search helping users discover the right content Conversational BI: Analytics and insights delivered through natural conversation AI Course & Question Generation: Creating questions and full courses from documents and titles Content Recommendations: Personalized content discovery Our squad is unique because we operate in one of the fastest-moving fields in tech: AI!

Principal AI Engineer at Gorgias. Apply via Ashby.