We're building production AI agents that change how our engineering org ships code and how employees work with internal knowledge. You'll join a small, high-ownership team. You'll write the agent logic, the tools, the data layer, and the pipelines that make them dependable at scale. Turn architecture into reliable, well-tested, production-grade systems.
Role and Responsibilities
Implement agent logic, tools, and orchestration against the given architecture
Build and tune RAG pipelines: ingestion → embeddings → retrieval → re-ranking → evaluation
Design and optimize Postgres schemas, queries, and vector indexes for production load
Build the test-generation and test-execution engine for the AI Code Pipeline
Integrate with Git, CI/CD, and internal services
Build evaluation harnesses, observability, and guardrails so agents are measurable and safe
Own the reliability, latency, and cost of the systems you ship
Write clean, typed, well-tested Python and participate actively in code review
Requirements
4+ years of professional software engineering in Python, with deep,
hands-on command of the language: async, typing, packaging, performance, and clean, maintainable code
1+ years building LLM / agentic systems — tool use / function calling, orchestration, prompting, and evaluation
Strong problem-solving and debugging on ambiguous, real-world production problems
Solid Postgres experience: schema design, query optimization, and extensions (pgvector)
Experience shipping and operating production services — testing, CI/CD, observability, on-call mindset
Comfort with Git-based workflows and code review
Automating software testing: unit, integration, functional, security, performance
Integrating with developer tooling and CI/CD systems
6+ months of demonstrated experience building with Claude Code in a development workflow
Benefits
Hybrid Office - 13 WFH days per quarter
Company bonus
Ticket Restaurant
Private Health Insurance
Flat hierarchies and short dec
📌 Agentic AI Engineer (Madrid)
🏢 Mondia
📍 Madrid