Senior AI Engineer
We are looking for a hands-on Senior AI Engineer with GenAI experience who can move fast, test aggressively and scale what works. You will own the end-to-end solution, work closely with leadership and play a key role in our next phase of growth.
Your responsibilities:
Implement agent features and integrations in production codebases – APIs, websockets, tool-calling workflows – following established architecture patterns.
Adapt and integrate pre-trained LLMs and embeddings into applications (prompting, fine-tuning, RAG pipelines) and keep them maintainable.
Build self-verifying agent workflows with chain verifications, evaluator models and human looped escalation paths that make agents trustworthy in enterprise environments.
Create comprehensive agent observability, full audit trails, structured logging, performance metrics – so the team always has clear agent visibility.
Ship autonomous agents making real business decisions with high reliability, optimising the balance between reasoning depth, latency, and cost.
Embed with product teams to evolve agent capabilities based on real usage data, closing the loop between what’s built and what actually works.
What we are looking for:
6 years+ in software engineering with 3+ years in GenAI, building and shipping production systems in enterprise settings.
Strong proficiency in Python with production deployment experience – you write code that other engineers can maintain, test, and extend.
Solid AWS knowledge (CDK, Serverless, Bedrock) with production deployment experience.
Hands-on experience with LLM providers and frameworks: Azure OpenAI, AWS Bedrock, Hugging Face, LangChain/LangGraph.
Deep expertise in agent frameworks combined with the ability to build custom orchestration.
University degree or equivalent experience in Computer Science, Engineering, or a related field.
This is a fully remote position which can be based globally given a +-4 hour time difference within the CET region.
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