AI engineer (agentic systems & LLM services)

AI engineer (agentic systems & LLM services) Location: Remote (Within +/- 2 hours of CET) Contract type: Full-time Salary: Starting from €45,000 per annum gross, subject to location, skills and experience Not Your Typica

AI engineer (agentic systems & LLM services)

Location: Remote (Within +/- 2 hours of CET) Contract type: Full-time Salary: Starting from €45,000 per annum gross, subject to location, skills and experience Not Your Typical Workplace Tired of the 9-to-5 grind? Imagine a World without borders, where opportunities are endless. That's the future of work, and what we are building at WorkMotion .Our remote first team spans across the world, helping companies hire, onboard, and manage talent internationally through smart, flexible workforce solutions. Fast-paced, people-driven, and globally connected — we empower businesses to build teams without borders. More Than a Role We don’t just need an AI Engineer — we need a builder. We’re looking for someone who gets their energy from turning messy, real-world workflows (document processing, customer support interactions, contracts, sales and account operations) into reliable AI-powered services, while keeping a sharp, analytical focus on how their work delivers real business impact. This isn’t a role for someone who wants to stay in their lane. 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. 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 42001, 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. Not Your Typical Team… We are a rapidly growing team of highly talented AI engineering minds, who are based all over Europe. We’re a team of motivated, and fully distributed crew that proves "remote" doesn't mean "disconnected." We don’t just “work” together — we create, challenge, and grow together. If you’re looking for an environment where your ideas are welcomed, your voice is heard, cross-collaboration on bold strategies thrive on collective brai