Agentic AI Engineer

Mondia; Madrid; Híbrido; EUR 65.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work

Company bonus

Private health insurance

Creative office

International team

Descripción de la vacante

Mondia in Madrid is seeking a software engineer to build production AI agents and related tooling. You will own the agent logic, data layers, and pipelines, delivering reliable, scalable systems for internal use across engineering teams.

You will write clean Python, work on RAG pipelines, Postgres schemas, and integration with Git, CI/CD, and internal services. This role demands hands-on coding, debugging, and collaboration in a high-ownership environment.

Formación

• 4+ years of professional Python software engineering.
• 1+ year building LLM/agentic systems.
• Strong problem-solving and debugging on real-world production problems.
• Experience with Postgres and pgvector.

Responsabilidades

• 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

Conocimientos

Python

Async

Typing

CI/CD

Git

LLM systems

Herramientas

Postgres

pgvector

Descripción del empleo

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 decision-making paths
• Cooperation in a highly motivated, young, international team spread across 3 continents
• An attractive location in a creative and modern office