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# AI Engineer

- **Company:** Workmotion
- **Location:** Málaga, Spain (Remote available)
- **Salary:** €45,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Customer Data Management, Python (Programming Language), Regression Testing, Salesforce.Com, Search Technologies, Software Engineering, SQLAlchemy, TypeScript, Datadog, Chatbots, Data Ingestion, Retrieval-Augmented Generation, Large Language Models, Generative AI, Backend, Agentic-AI, Fastapi, Pytest, Containerization, AI Platforms, Atlassian Tools, LiteLLM, Invoking Functions, Docker
- **Published:** October 23, 2026
- **Apply:** https://www.adzuna.es/details/5938515525

## About the Role

What It Takes to Make an Impact Here... 3+ years of software engineering experience (backend/Python), with at least 1 year building LLM-based applications in production.
Strong Python: FastAPI, Pydantic, SQLAlchemy/Alembic, async programming, pytest.
Hands-on with LLM tooling: agent frameworks (e.g. Google ADK), LiteLLM or similar gateways, tool/function calling, MCP, and RAG with vector databases.
Comfortable with Docker, AWS (S3 and related), CI/CD and observability tooling.
Critical competencies: pragmatic problem-solving, written clarity, ownership, and sound judgment on data privacy and security.
Language: fluent English (written and spoken).
Bonus Points If You Bring Experience with Salesforce, Atlassian APIs or HR/payroll/global-employment domain data.
Experience running or evaluating closed-weight and/or open-weight models or with PII anonymization and AI governance frameworks (GDPR, ISO *****, EU AI Act).
Experience with Python/Node.js/TypeScript, as some MCP tooling is built that way.
A track record of building evaluation harnesses or benchmarks for LLM systems.

## Description

You'll be at the center of it all - owning AI services from prototype to production: agents, LLM pipelines and the MCP tooling around them - ensuring everything you touch is reliable, measurable and secure] and aligned with our wider goals.
You won't be a solo operator.
You'll collaborate with the engineering and the product development teams, bringing everything together to ensure consistency, impact, and momentum across the board.
Where Responsibility Meets Real Opportunity Design, build and ship production AI services in Python (FastAPI, async), including multi agent systems and LLM-powered pipelines for document processing, chatbots and CRM automation.
Develop and maintain MCP servers and integrations that give agents safe, well-scoped access to company systems.
Build retrieval and ingestion pipelines: document parsing, chunking, embeddings and vector search, over AWS storage.
Evaluate and improve quality.
This means benchmarks, regression tests, replay of real cases and prompt/playbook iteration, with cost and latency in view.
Operate what you build: containerized deployments, observability, authentication and PII safe handling of employee and customer data.
Contribute to AI governance by keeping lifecycle records, documenting risks and decisions, and supporting different ISO evidence.