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Lead Applied AI Engineer

hace 2 semanas


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The most trusted digital enabler team.blue is a leading digital enabler for companies and entrepreneurs. It serves over 3.3 million customers in Europe and has more than 3,000 experts to support them. Its goal is to shape technology and to empower businesses with innovative digital services. 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. Our mission is to make online business success simpler, by providing our 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 Applied AI Engineer to lead our AI-driven software projects, and unlock the potential of GenAI across the team.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. 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 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) ~ Practical experience with vector databases (e.g. Skilled in implementing conversational AI systems using APIs such as OpenAI Chat Completion and Assistants ~ 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) Right to Work At any stage, please be prepared to provide proof of eligibility to work in the country you’re applying for. Unfortunately, we are unable to support relocation packages or sponsorship visas. Check it out here. #