AI Engineer (Agentic Systems & LLM Services)
New
W
WorkMotionAI software
Remote (Within +/- 2 hours of CET), Within +/- 2 hours of CETFull-TimeMiddle
SalaryAt least 45,000 EUR per year
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Job Details
- Languages
- Fluent English (written and spoken)
- Experience
- 3+ years of software engineering experience (backend/Python), with at least 1 year building LLM-based applications in production.
- Required Skills
- PythonFastAPI
Requirements
- Have 3+ years of software engineering experience in backend/Python, including at least 1 year building LLM-based applications in production.
- Have strong Python skills, including FastAPI, Pydantic, SQLAlchemy/Alembic, async programming, and pytest.
- Have hands-on experience with LLM tooling, including agent frameworks, LiteLLM or similar gateways, and tool/function calling.
- Have experience with MCP and RAG using vector databases.
- Be comfortable with Docker, AWS including S3 and related services, CI/CD, and observability tooling.
- Be fluent in English, written and spoken.
- Bring pragmatic problem-solving, written clarity, ownership, and sound judgment on data privacy and security.
Responsibilities
- Design, build, and ship production AI services in Python using FastAPI and async programming.
- Build multi-agent systems and LLM-powered pipelines for document processing, chatbots, and CRM automation.
- Develop and maintain MCP servers and integrations that provide agents safe, well-scoped access to company systems.
- Build document parsing, chunking, embedding, and vector-search pipelines over AWS storage.
- Evaluate and improve quality through benchmarks, regression tests, replay of real cases, and prompt and playbook iteration.
- Monitor cost and latency while improving AI service quality.
- Operate containerized deployments with observability, authentication, and PII-safe handling of employee and customer data.
- Maintain AI lifecycle records, document risks and decisions, and support ISO evidence.
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