[Hiring] AI engineer @WorkMotion

Role Description

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 into reliable AI-powered services, while keeping a sharp, analytical focus on how their work delivers real business impact.

• 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 through 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.

Qualifications

• 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).

Requirements

• 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.

Benefits

• Global, remote, and thriving: WorkFlex program lets you work from anywhere, anytime.
• Your well-being is our priority: Dedicated Well-Being Day—a full day off just to recharge and relax.
• Get fit and stay active: Subsidized gym memberships for various activities.
• Learn, grow, and develop: Training & Development Allowance for skill expansion.
• Stay connected: Exciting annual team meetups.
• Diversity is our superpower: Commitment to fostering a diverse and inclusive workplace.