Generative AI Engineer

Agentic Engineer (Python, LLM Systems)

Spain (Barcelona/Madrid preferred) | Hybrid €70k–€120k base + bonus + equity

We’re supporting one of our clients — a fast-scaling, AI-first product company — in hiring an

Agentic Engineer

to build and scale production-grade LLM agent systems.

The Role

Our client is building conversational AI and workflow automation systems powered by multi-step agents. They’re looking for an engineer who understands that shipping AI systems is fundamentally a systems engineering challenge.

You’ll work on: Designing and implementing multi-agent workflows (planning, tool-calling, orchestration) Building and optimizing RAG pipelines (embeddings, retrieval, context management) Managing memory strategies (session handling, summarization, vector search) Developing evaluation and monitoring frameworks for agent quality Improving latency, reliability, and cost-efficiency of LLM workloads Ensuring observability and robustness in production environments

What They’re Looking For Strong backend engineering foundation (Python preferred) Experience building LLM-powered systems in production Hands-on work with agents, RAG, embeddings, or orchestration frameworks Experience with vector databases (Qdrant, Pinecone, Weaviate, etc.) Cloud-native experience (AWS or similar, containerized services, infra-as-code) Product mindset — able to ship, iterate, and improve quickly

Bonus if you’ve worked on: Multi-agent systems Evaluation pipelines or hallucination control Latency-sensitive AI systems Scaling conversational AI infrastructure

What This Role Is Not Not a pure ML research position Not a fine-tuning-heavy role Not just wrapping OpenAI APIs

Our client is looking for engineers who have already built real AI systems and want to push them further.

Compensation & Setup €70k–€100k base (flexible for exceptional profiles) Performance bonus structure Meaningful equity Hybrid model (4 in-office days per month)

If you’ve already built LLM agents in production and want to go deeper into orchestration, evaluation, and scalable AI systems, we’d love to speak.

Apply directly or reach out for a confidential conversation.