AI engineer (agentic systems & LLM services) Location: Remote (Within +/- 2 hours of CET) Contract type: Full-time Salary: Our remote first team spans across the world, helping companies hire, onboard, and manage talent internationally through smart, flexible workforce solutions. 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. 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’ll collaborate with the engineering and the product development teams, bringing everything together to ensure consistency, impact, and momentum across the board. 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.



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. ~ 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).

Experience with Salesforce, Atlassian APIs or HR/payroll/integral-employment domain data.

Experience with Python/Node.js/TypeScript, as some MCP tooling is built that way. 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." If you’re looking for an environment where your ideas are welcomed, your voice is heard, cross-collaboration on bold strategies thrive on collective brainpower and high-energy teamwork you’ll feel right at home.

Global, remote, and thriving: We're a global team of talented individuals spread across 26 countries. Whether it's a beachside office or a cosy home office, the choice is yours. We know mental health matters, which is why we offer a dedicated Well-Being Day—a full day off just to recharge and relax.

With our Training & Development Allowance, you’ll have all the opportunities you need to keep expanding your skills and knowledge.

Benefits vary depending on location due to local laws and regulations. If you need any accommodations during the recruitment process, just let our Recruitment Team on We’re here to support you every step of the way! AI engineer (agentic systems & LLM services) • ES #

📌 Ai Engineer (Agentic Systems & Llm Services) (Málaga)
🏢 WorkMotion
📍 Málaga