Mid AI Engineer at HFM
Cyprus
Posted
on-site · full time · Visa sponsorship
Responsibilities:
- Build and deliver internal AI services end-to-end: data pipelines, model training, and production APIs following team architecture.
- Develop asynchronous FastAPI microservices on Kubernetes to serve models and orchestrate agent/tool calls.
- Implement retrieval pipelines (chunking, embedding, indexing, retrieval tuning) over PostgreSQL/pgvector and evaluate them.
- Create and maintain training pipelines: data prep, fine-tuning, validation, model registration and promotion workflows.
- Integrate agent tools and MCP endpoints with clear access controls per tool.
- Define evaluation sets, structural output checks and drift monitoring to validate models before and after release.
- Instrument services with structured logs, Prometheus metrics and OpenTelemetry traces for reliable diagnostics.
- Review and pair with junior engineers; contribute to team engineering and documentation standards.
Requirements:
- Bachelor’s degree in CS, AI, Software Engineering or related discipline.
- 3+ years backend development experience, including delivery of at least one ML/LLM application to production.
- Strong Python and FastAPI skills; solid SQL/PostgreSQL proficiency.
- Practical experience with RAG patterns, prompt design and model evaluation techniques.
- Comfortable with Docker, Git, CI/CD and container orchestration (Kubernetes); working knowledge of a cloud platform (preferably AWS).
- Methodical, test-driven approach with clear measurement of improvements.
- Strong communication skills and professional English; collaborative mindset.
Nice-to-have:
- Production experience with vector search (pgvector, OpenSearch, Qdrant), multi-agent frameworks or model registries.