AI Engineer / Full Stack Developer – LLM & RAG

We’re hiring: AI Engineer / Full Stack Developer – LLM & RAG

We’re looking for an early-career AI Engineer with strong Python skills, a research-oriented mindset, and Full Stack capabilities to join the development of an LLM & RAG-based system already running in Production.

The role combines Applied AI / Data Science with hands-on software development and offers broad ownership over new AI capabilities.

What you’ll do?

• Develop and improve RAG pipelines, including embeddings, retrieval and ranking

• Evaluate retrieval models, build evaluation datasets and define relevant metrics

• Work with LLM APIs, Prompt Engineering and AI Agents

• Research, experiment and bring new AI capabilities into Production

• Develop Backend in Python and support Full Stack, Frontend and infrastructure tasks

• Integrate LLMs into existing applications and systems

Must have

• Up to 2 years of professional experience in Software Development, AI or Data Science

• Strong Python/React and solid software engineering fundamentals

• Hands-on experience with LLM APIs and Prompt Engineering

• Good understanding of ML/Data Science principles, including model evaluation, metrics and dataset validation

• Full Stack development experience

• Relevant academic degree or equivalent practical experience

Big advantages

• Hands-on experience with RAG

• Embeddings, semantic/vector search and retrieval evaluation

• Elasticsearch

• LangChain / LlamaIndex

• AI Agents / agentic workflows

• Experience bringing AI capabilities into Production

This is a great opportunity for someone who enjoys the intersection of research, AI and software engineering and wants to build real-world GenAI products end-to-end.