(Senior) AI Engineer – AI Booster Team (f|m|d)

At idealo, Generative AI (GenAI) is becoming a multiplier across every team. The AI Booster Team is our internal technical competence center: we pair with product teams, build reusable GenAI building blocks and share best practices company-wide. As an AI Engineer, you will design, prototype and productionise LLM-powered solutions that shorten the path from idea to first release while coaching fellow engineers on their GenAI journey.

This position is available full-time or part-time.

About your new role

• Pair with cross-functional teams to ship GenAI features – from discovery workshop to live deployment in weeks, not months.

• Design and implement LLM workflows: prompt templates, RAG pipelines, evaluation harnesses and scalable AWS infrastructure (Bedrock, SageMaker, Lambda, Step Functions).

• Apply your expertise in frontend technologies such as TypeScript, React, and Next.js to build engaging interfaces, while leveraging Python to develop robust LLM-powered backends and evolving prototypes into reliable, production-ready services.

• Establish automated evals and human-in-the-loop reviews that measure quality, safety and cost efficiency.

• Harvest recurring patterns into platform components (e.g. content-generation pipelines, vector-DB utilities) and document them in our internal playbooks.

• Act as a coach & multiplier - run office hours, code reviews and lightning talks that level-up GenAI skills across idealo.

Skills & Requirements

• Professional software background and 3+ years building production systems; 1+ year hands-on with LLMs.

• Proven experience with LLM stacks: prompt engineering, embeddings & vector DBs , LangChain/LlamaIndex, RAG design, model selection & cost optimisation.

• Practical knowledge of LLM workflow orchestration and process automation tools (e.g., n8n) for end‑to‑end automation.

• Proficient in Python and TypeScript, using modern frameworks like FastAPI, Node.js, and React to create scalable backends and seamless user experiences.

• Comfortable running ML workloads on AWS (SageMaker, Bedrock, Lambda, Step Functions, CDK/Terraform).

• Familiar with CI/CD, Docker, test-driven development and observability (logs, traces, cost dashboards).

• Strong communication skills for pair-programming and technical coaching.

• We’re keen to see evidence of exceptional achievement - perhaps you’ve scaled a personal project to thousands of users, published influential research, ranked highly in competitive arenas (e.g. sports, Kaggle, hackathons) or maintain widely-used open-source libraries. Tell us what makes you stand out!

You don’t tick every single box? No worries! We hire people, not checklists, and value motivation to grow.

Requirements

At idealo you can expect

• You need vacation? We offer you 30 days of vacation. Not enough? You can "buy" an additional 15 days every year by converting your salary and it's seen as a positive thing.

• You want to further your education? We take your personal development goals seriously and, in addition to our idealo Learning Hub, eLearning offerings (e.g., Udemy), coaching & mediation, we also offer you the opportunity to benefit individually from additional learning and development budget.

• And what about the office? Our office in the heart of Berlin offers excellent free lunch, as well as free coffee, lemonades and after-work beer, in addition to the "standard foosball". It also has a fabulous rooftop terrace with view of the whole of berlin where you can network with colleagues from our group of companies.

• You want full flexibility on your way to work and beyond? No problem with a job bike or Deutschlandticket - and it's environmentally friendly, too!

• You don't live in Germany yet? We support you in the visa process and with your relocation.

• Want to keep yourself fit? We offer many different fitness and sports options, such as an Urban Sports or Gympass membership, to suit your personal needs.

About idealo

idealo is a Berlin success story: in 2000 we started out with the mission of helping consumers make the best purchasing decisions. Today, with ~2.5 million visits per day, ~50,000 shops, and more than ~500 million product offers,