Agentic AI Engineer
At a glance
Mid-level AI Engineering role at Mondia Group. Madrid · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build agent behavior, tools and orchestration from the supplied architecture
- Create and improve RAG workflows covering ingestion, retrieval, ranking and evaluation
- Shape Postgres schemas, queries and vector indexes to handle production workloads
- Develop test-generation and execution systems for the AI Code Pipeline
- Connect agents to Git, CI/CD and internal services, then monitor reliability, speed and cost
What you bring
- At least four years of professional Python software engineering, including async work, typing, packaging and performance
- At least one year building LLM or agent systems, including tool use, orchestration, prompting and evaluation
- Hands-on Postgres skills across schema design, query tuning and pgvector
- At least six months building with Claude Code as part of a development workflow
- Experience operating production services, automating software tests and working through Git-based code review
Who this fits
This mid-level, hands-on engineering role suits someone who can build and operate production AI systems and debug ambiguous problems. The role is based onsite in Madrid, with a hybrid arrangement offering thirteen work-from-home days per quarter.
From the employer
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