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Salary: EUR 45,000 - 0 / annual
WorkMotion is a remote-first workforce solutions company helping businesses hire, onboard, and manage talent internationally. We're seeking an experienced AI Engineer to design, build, and ship production AI services that transform real-world workflows—document processing, customer support, contracts, sales and account operations—into reliable, measurable AI-powered solutions.
You will own AI services end-to-end: from prototype to production, including multi-agent systems, LLM-powered pipelines, and MCP tooling. You'll collaborate closely with engineering and product teams to ensure consistency, impact, and momentum across the organization.
Key responsibilities include:
- Design and build production AI services in Python (FastAPI, async), including multi-agent systems and LLM pipelines for document processing, chatbots, and CRM automation
- Develop and maintain MCP servers and integrations that provide agents safe, scoped access to company systems
- Build retrieval and ingestion pipelines: document parsing, chunking, embeddings, and vector search over AWS storage
- Evaluate and improve quality through benchmarks, regression tests, real-case replay, and prompt/playbook iteration, considering cost and latency
- Operate deployed services: containerized deployments, observability, authentication, and secure handling of employee and customer data
- Contribute to AI governance by maintaining lifecycle records, documenting risks and decisions, and supporting ISO compliance
This role requires a builder mindset—someone energized by turning messy workflows into reliable services while maintaining sharp analytical focus on business impact. You won't work in isolation; cross-functional collaboration is central to success.
Requirements:
- 3+ years of software engineering experience (backend/Python), with at least 1 year building LLM-based applications in production
- Strong Python proficiency: FastAPI, Pydantic, SQLAlchemy/Alembic, async programming, pytest
- Hands-on experience 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
- Fluent English (written and spoken)
Bonus experience:
- Salesforce, Atlassian APIs, or HR/payroll/global-employment domain data
- Running or evaluating closed-weight and/or open-weight models, or PII anonymization and AI governance frameworks (GDPR, ISO 42001, EU AI Act)
- Python/Node.js/TypeScript for MCP tooling development
- Building evaluation harnesses or benchmarks for LLM systems
