Senior/Staff AI/ML Engineer - (Dublin, CA)

About Articul8 AI

At Articul8, we build enterprise-grade Generative AI solutions that help global organizations unlock new value from their data. Our platform is trusted by some of the world's most innovative companies, and we partner closely with customers to design, deploy, and scale AI solutions that deliver measurable impact.

As a fast-moving startup, we move with urgency and focus. Every team member has real ownership, and the work you do here directly shapes our platform and our customers’ success. If you thrive in an environment where innovation happens daily and impact is visible, Articul8 is the place to do the best work of your career.

Role Overview

We are seeking a Senior or Staff AI/ML Engineer to design, develop, and deploy AI-driven solutions that solve real-world problems at scale. You will develop machine learning models, algorithms, fine-tune large language models (LLMs), and implement other AI functionalities while optimizing performance for production environments.

You will work directly with our customers to understand their requirements and collaborate closely with our Customer Success team to translate those needs into actionable tasks to implement the solution into our platform. You will also work cross-functionally with Product, Engineering, and Applied Research teams to create and deploy the most effective solutions at scale.

This role requires deep expertise in model architectures, AI/ML frameworks, cloud platforms, and software engineering best practices. For the Staff position, you must possess T-shaped skills to develop end-to-end solutions. This includes selecting and developing appropriate AI models down to the layer architecture, designing modularized training and inference methods, architecting Agentic workflows, and implementing production-level code with thorough testing. Experience mentoring junior Data Scientists and/or AI/ML Engineers is highly desired.

Key Responsibilities

• Design, develop, and deploy AI/ML models ranging from traditional ML regression algorithms to transformer-based architectures.

• Train, fine-tune, and optimize deep learning and LLM-based solutions.

• Engage with customers to understand their needs and transform them into actionable tasks for developing new functionalities within the Articul8 platform.

• Collaborate with researchers, software engineers, and product teams to integrate new AI capabilities into our applications.

• Implement and evaluate state-of-the-art automated testing and metrics to improve model accuracy and efficiency.

• Optimize models for both cloud and on-premises environments to ensure low latency and high availability.

• Develop APIs and micro-services to serve AI models in production.

• Stay current with the latest AI models, research, and best practices.

• Ensure ethical AI practices, data privacy, and security compliance.

Our Culture Matters

At Articul8, culture isn’t just words — it’s how we show up for each other and our customers:

• Practice humility – Listen first, respect all voices, and recognize that great solutions are built together.

• Bias for outcomes – Focus on impact, not just effort; deliver meaningful results that matter to our customers.

• Care deeply – Invest in relationships, act with empathy, and put customer and teammate success at the center.

• Dare to do the impossible & embrace scarcity – Push boundaries with creativity and resourcefulness, even when constraints are real.

• Build a better world – Use our technology and platform to create solutions that benefit not just enterprises, but society at large.

Required Qualifications

• Master's or PhD in Computer Science, AI, Machine Learning, or equivalent engineering field.

• 8+ years of experience in AI/ML modeling development and deployment for the Senior role, 10+ years for the Staff role.

• Expert-level programming skills in Python and ML frameworks like PyTorch.

• Experience with LLMs, NLP, computer vision, or reinforcement learning.

• Experience with ML modeling for multi-dimensional, large time-series datasets.

• Strong proficiency in containerization technologies including Docker and Kubernetes.

• Proficiency in data preprocessing and model evaluation techniques, as well as MLOps tools like MLflow and Kubeflow.

• 3+ years of experien