AI Engineer - Europe only

We’re looking for an AI Engineer to build the LLM layer of our platform: multi-agent workflows, hybrid retrieval over knowledge graphs and vector indexes, inference integration, and evaluation.

You’ll sit between research and platform — taking agent architectures from prototype to production and making them measurably reliable.

Your role

• Build and productionize multi-agent workflows on Anthropic/OpenAI APIs: orchestration, tool use, structured outputs, guardrails.
• Design hybrid retrieval architectures that combine knowledge graphs, vector search, and ranking into a single coherent context layer.
• Build evaluation harnesses and observability for agent behavior — quality, latency, cost — and use them to drive iteration.
• Integrate LLM inference, retrieval, and reasoning services into production backends.
• Work with researchers and domain experts to turn neuro-symbolic prototypes into robust product features.

What you’ll need

• 4+ years of software engineering experience (backend or ML), including production systems in Python.
• Hands-on experience building LLM systems beyond demos: agents and tool use, RAG, or evaluation pipelines.
• Real workflow experience with the OpenAI/Anthropic APIs (or comparable).
• Solid engineering fundamentals: API design, services, testing, deployment.

Nice to have

• Structured knowledge representations: ontologies, knowledge graphs, SPARQL, or graph databases (e.g., Neo4j).
• Vector databases and hybrid retrieval architectures.
• Kubernetes and cloud-native deployment.
• Model serving (e.g., vLLM), fine-tuning, or evaluation frameworks.
• Go and/or Scala.

Originally posted on Himalayas