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.

Role Overview

We are looking for a highly skilled Applied AI Engineer to unlock the potential of GenAI across the team.blue group. The ideal candidate will be responsible for creating prototypes of multimodal systems (text,image, voice, video), RAG pipelines and implementing agentic AI systems using various tools, MCP servers, and APIs. This role requires an applied engineering mindset, strong programming skills, and up-to-date knowledge of the latest AI developments.

Responsibilities

• Develop and prototype multimodal AI systems that integrate text, image, voice, and video data
• Implement agentic AI systems using tools such as MCP servers and APIs
• Experiment with Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) pipelines
• Design and implement agentic architectures to enhance system capabilities
• Integrate AI solutions into existing environments and workflows, ensuring seamless operation and performance optimization.
• Collaborate with cross-functional teams to understand requirements and deliver innovative AI solutions.
• Conduct research on the latest AI developments and apply them to improve our systems.
• Document processes, code, and findings for future reference and knowledge sharing

Required Skills

• Software engineering background, ideally in backend or ML development and system integration
• Proven hands-on experience (3+ years) using Gen AI/LLM technologies in production (e.g., OpenAI, Claude, Gemini, Vector databases, RAG, AI agents)
• Strong programming skills in languages such as Python, PHP, etc.
• Strong background in AI/ML and data science, including with large-scale pipelines and frameworks like PyTorch, TensorFlow, LangChain, scikit-learn
• Demonstrated expertise in implementing and integrating AI solutions into existing environments.
• Strong problem-solving skills with excellent communication and documentation skills
• Ability to work collaboratively with cross-functional teams

Nice to have Skills

• Master's or PhD degree in Computer Science, AI, Machine Learning, or a related field.
• Experience with LLM inference and serving (vLLm, LiteLLM, TensorRT-LLM), RAG pipelines, and agentic architectures
• Deep understanding of current AIOps & MLOps practices, deploying and monitoring real-time inference models and ETL (extract, transform and load) pipelines
• Experience with AI/ML R&D
• Experience with distributed data tools (eg. Spark, Dask, Apache Beam, )