Lead Applied AI Engineer

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 highly skilled Lead Applied AI Engineer to technically lead our Applied AI Engineering team in the development of AI products across the team.blue group. The ideal candidate will be responsible for leveraging LLMs to build exceptional products and experiences. This role requires an applied engineering mindset, strong programming skills, and up-to-date knowledge of the latest AI developments.

Key Responsibilities:

• Develop and launch reliable and high-performing multimodal AI products and systems that integrate text, image, voice, and video

• Implement agentic AI systems using tools such as MCP servers and APIs

• Build end-to-end AI-powered software applications integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines

• Integrate AI solutions into existing environments and workflows, ensuring seamless operation and performance optimization

• Conduct research on the latest AI developments and apply them to improve our systems

• Technically mentor teammates on product thinking and contribute to a culture of continuous learning

• Collaborate with cross-functional teams to understand requirements and deliver innovative AI solutions

Ideal Profile:

• 6+ years of experience in Software Engineering including as a lead, and ideally in full stack/backend product-focused software engineering

• Proven hands-on experience (3+ years) using Gen AI/LLM technologies in production (e.g. LLMs, Vector databases, RAG, AI agents) and with prompt engineering techniques

• Strong proficiency in backend development with Python (leveraging frameworks like FastAPI, Flask), microservices architecture and event-driven architecture(eg. KafKa, SSE, WebSocket)

• Practical experience developing, deploying and scaling RAG systems and AI agents, in a production environment.

• Demonstrated expertise in implementing and integrating AI solutions into existing environments.

• Knowledge of LLMOps, CI/CD pipelines, and containerization (Docker, Kubernetes)

• Strong problem-solving skills with excellent communication and documentation skills

• Ability to work collaboratively with cross-functional teams

Nice to have Skills:

• Experience building multi-hop RAG systems with self-consistency and chain-of-thought prompting

• Experience with LLM inference and serving (vLLm, LiteLLM, TensorRT-LLM)

• Deep understanding of current AIOps & MLOps practices, deploying and monitoring real-time inference models and ETL pipelines

• Experience with AI/ML R&D

• Experience with distributed data tools (eg. Spark, Dask, Apache Beam)

• Experience with cloud platform technologies

"Come as you are"

Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance.

ESG

“At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. Interested in learning more about our dedication to making a positive impact? Check it out here.”