Company Overview
team.blue is the market leader in enabling digital success for small and medium-sized businesses (SMBs) across Europe, catering to over 3 million customers in 25+ languages. The mission is to make online business success simpler, by providing customers with all the tools and resources they need to excel online and remain ahead of the curve.
Position Overview
We are looking for a Lead AI Software Engineer, to lead our AI-driven software projects, and unlock the potential of GenAI across the team.blue Group. This role combines deep technical expertise with leadership and strategic thinking. You will guide a team in designing and implementing scalable AI systems, including APIs, RAG architectures, and agentic frameworks while shaping the future of our AI for SMBs. You'll work in an agile environment, with the latest technologies including AI based coding assistants and have the freedom to bring your ideas to life.
Key Responsibilities
- Lead and mentor a team of Applied AI Engineers, fostering growth, collaboration, and technical excellence
- Design and implement scalable AI powered software solutions, with a focus on APIs, RAG architectures, and agentic frameworks
- Build and deploy agentic AI systems using tools such as MCP servers and APIs
- Integrate AI software solutions into existing environments and workflows, ensuring seamless operation and optimal performance
- Test, monitor and deploy software solutions that meet business needs
- Participate in code reviews to ensure code quality and consistency
- Drive AI adoption across the organization as a recognized technical expert and thought leader
Ideal Profile
- 5+ years of experience in software engineering, including 2+ years in a technical lead or management role
- Strong proficiency in Python (e.g. FastAPI, Flask) and expertise in microservices and event-driven architectures (e.g. KafKa, SSE, WebSocket)
- Deep understanding of Large Language Models (LLMs) including fine-tuning, prompt engineering, and hands-on expertise with models such as GPT, Claude, Gemini
- Practical experience with vector databases (e.g. OpenSearch, FAISS) for similarity and semantic search
- Proven ability to deploy and scale RAG systems and AI agents in a production environment
- Skilled in implementing conversational AI systems using APIs such as OpenAI Chat Completion and Assistants
- Strong problem-solving, communication, and documentation skills, with the ability to collaborate effectively across teams
Nice to Have
- Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting
- Knowledge of AIOps / MLOps best practices, including deploying and monitoring real-time inference models and ETL pipelines
- Experience with distributed data tools (e.g. Spark, Dask, Apache Beam)
- Familiarity with cloud platform technologies (e.g. AWS, Azure, GCP)