We are building AI-native solutions for our clients — products where LLM and its harness are the core of the value.This is a builder's role: you and your team are responsible for building agentic systems, writing the production code, and standing up the evals and observability.You will work closely with SMEs and end-users to understand where the real value lies, and you design the feedback loops.ResponsibilitiesDesign, build and ship AI-native systems E2E — agents, workflows, RAG and the harness: custom tool calling, sandboxing, context engineering and sub-agents, caching, compactionBuild the evaluation pipelines and use them to prove the system is genuinely usefulDesign for failure in the agent loop: retries, model fallbacks, cost limits and human-in-the-loop on consequential actionsCapture domain expertise and repeatable workflows so what works on one engagement carries to the nextEngage early to help shape the use case and check technical feasibilityWrite production-grade Python: integrations, APIs, data access, deploymentWork directly with SMEs and end-users through interviews,



UAT and observing the real workflow, and validate that the system fits how people actually workRequirements7+ years of engineering experience, with a strong recent track record building production AI / LLM applications (not prototypes or research only)Strong agent-design judgment — task-harness fit, matching the harness to the context, failures and policies of the presente task rather than calling a model in a loopCapability to operate close to the client: lead discovery and feasibility conversations, work directly with SMEs and end-users, and explain technical trade-offs to both technical and non-technical audiencesHands-on experience with agentic frameworks (LangChain, LangGraph, Semantic Kernel) and major LLM providers (OpenAI, Anthropic, Google Gemini)Expert-level Python and solid software engineering fundamentalsStrong RAG and retrieval skills: vector databases, embeddings, hybrid sear

📌 Forward Deployed Engineer/Chief role (Madrid)
🏢 EPAM Systems
📍 Madrid