Lead AI/ML 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 AI/ML Engineer to technically lead our AI/ML engineering team. The ideal candidate will be responsible for developing AI & ML models and GenAI solutions that power real production use cases. This role will collaborate closely with Product, and Commercial teams, and take full ownership from ideation to deployment. The environment is fast-paced and high-responsibility, with plenty of room to grow alongside a technical, mission-driven team.

Key Responsibilities:

AI & ML Model Development & Implementation

• Design, develop and optimize AI models and LLMs, including training and fine-tuning for various applications

• Build, train and optimize ML models, including defining preprocessing, feature engineering, validation strategies, and hyperparameter tuning

• Develop AI solutions using LLMs, agentic AI frameworks, RAG pipelines, MCP servers and other related technologies

AI & ML Engineering

• Build data ingestion and transformation pipelines to support model training and deployment and ensure reproducible, scalable models

• Verify data quality, perform data cleaning, and oversee data acquisition processes as needed.

• Develop scalable training and inference pipelines for AI-powered applications

Deployment & Integration

• Deploy models to production and create APIs to integrate AI models into business operations

• Build and drive adoption of emerging LLM/MLOPs technologies, integrating AI Agents, RAGs, and LLMs using MCP workflows to streamline automation, performance tuning, and large-scale data insights

Research & Innovation

• Continously research and integrate the latest advancements in AI, ML and LLMs into products

• Translate scientific insights into working prototypes that bridge research and production-ready implementation

• Collaborate with internal and external research partners, including academic institutions, industry labs, and vendors

Technical Leadership

• Provide technical leadership in AI/ML technologies, including GenAI, Machine learning, deep learning, and natural language processing (NLP).

• Ensure the technical quality of AI/ML solutions, including architecture, design, implementation, and deployment.

• Mentor junior team members and drive the technical direction of AI initiatives within the group

Requirements:

• 5+ years of experience in AI/ML engineering, Applied AI or Research engineering, with 2+ years in a lead role

• Deep expertise with GenAI technologies and concepts like LLMs, RAG, Vector databases, AI agents, MCP, LoRA, QLoRA

• Strong Python skills and experience with ML frameworks (e.g., PyTorch, TensorFlow, sklearn), with a proven track record of building and deploying ML models

• Practical experience deploying and scaling AI & ML models and agentic AI applications in a production environment, including with LLM inference and serving (vLLm, LiteLLM, TensorRT-LLM)

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

• Awareness of LLM-specific risk domains, including hallucinations, fairness, and data privacy

• 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

"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.”