AI engineer (agentic systems & LLM services)

1 day ago

Remote, Spain +5 moreMid Level

Responsibilities

Design, build, and ship production AI services in Python, including multi-agent systems and LLM-powered pipelines for document processing, chatbots, and CRM automation.
Develop and maintain MCP servers and integrations that provide agents with safe, scoped access to company systems.
Build document parsing, chunking, embedding, ingestion, and vector-search pipelines over AWS storage.
Evaluate and improve AI quality through benchmarks, regression tests, replay of real cases, and prompt or playbook iteration while considering cost and latency.
Operate containerized AI services with observability, authentication, and PII-safe handling of employee and customer data.
Support AI governance through lifecycle records, risk and decision documentation, and ISO evidence.

At least 3 years of software engineering experience focused on backend/Python development, including at least 1 year building LLM-based applications in production.
Strong Python experience with FastAPI, Pydantic, SQLAlchemy/Alembic, asynchronous programming, and pytest.
Hands-on experience with agent frameworks such as Google ADK, LiteLLM or similar gateways, tool/function calling, MCP, RAG, and vector databases.
Experience with Docker, AWS including S3, CI/CD, and observability tooling.
Sound judgment regarding data privacy and security, along with pragmatic problem-solving, written clarity, and ownership.
Fluent written and spoken English.
Preferred experience with Salesforce, Atlassian APIs, HR/payroll or global-employment data, model evaluation, PII anonymization, AI governance frameworks, GDPR, ISO 42001, EU AI Act, Node.js, or TypeScript.

Fully remote work within approximately two hours of CET, with WorkFlex allowing work from anywhere and flexible hours.
Full-time employment with a starting salary of €45,000 per annum gross, subject to location, skills, and experience.
Dedicated Well-Being Day, subsidized gym memberships, and a Training & Development Allowance.
Annual team meetups and a global distributed team environment.
Benefits vary by location due to local laws and regulations.

201-500 employees