AI engineer (agentic systems & LLM services)

About this role

Build and operate production AI services that turn real-world business workflows into reliable, secure, measurable tools. The role focuses on agentic systems, LLM pipelines, MCP integrations, and retrieval workflows, from prototype through production.

About the company

WorkMotion is an HR platform that helps companies hire, onboard, and manage international employees with compliant remote employment.

Stack

What you'll do

• Build production AI services, multi-agent systems, and LLM pipelines.
• Develop MCP servers and integrations with safe, scoped access to company systems.
• Create document ingestion, parsing, embedding, and vector-search pipelines.
• Evaluate and improve quality with benchmarks, regression tests, and real-case replays.
• Deploy and operate containerized services with observability and secure PII handling.
• Document AI lifecycle records, risks, and governance evidence.

What we're looking for

• At least 3 years of backend/Python software engineering experience and 1 year building production LLM applications.
• Strong Python skills, including FastAPI, async programming, Pydantic, SQLAlchemy/Alembic, and pytest.
• Hands-on experience with agent frameworks, LLM gateways, tool calling, MCP, and RAG with vector databases.
• Experience with Docker, AWS, CI/CD, and observability tooling.
• Fluent written and spoken English.
• Sound judgment around privacy and security, with strong problem-solving, written communication, and ownership.

Nice to have

• Experience with Salesforce, Atlassian APIs, or HR, payroll, and global-employment data.
• Experience with model evaluation, PII anonymization, or AI governance frameworks.
• Knowledge of GDPR, ISO 42001, or the EU AI Act.
• Python, Node.js, or TypeScript experience for MCP tooling.

Benefits

• Remote-work flexibility through the WorkFlex program.
• A dedicated Well-Being Day.
• Subsidized gym memberships.
• Training and development allowance.
• Annual team meetups.