Mid AI Engineer at HFM

About the role

Responsibilities:
- Build and ship end-to-end AI services: data pipelines → training/fine-tuning → model serving and REST APIs (FastAPI) deployed on Kubernetes.
- Implement retrieval pipelines (chunking, embedding, indexing, retrieval tuning) over PostgreSQL/pgvector and evaluate against held-out sets.
- Maintain training and deployment pipelines, model registration and promote models based on measured evaluation improvements.
- Integrate agent/tool endpoints and Model Context Protocol (MCP) with proper access controls and observability.
- Implement evaluation, structured-output checks and drift monitoring to ensure model correctness in production.
- Instrument services with structured logs, Prometheus metrics and OpenTelemetry traces; write tests and measurable rollouts.
- Mentor junior engineers, contribute to engineering standards and documentation.

Requirements:
- Bachelor’s degree in CS, AI, Software Engineering or equivalent experience.
- 3+ years backend development experience with at least one ML/LLM production deployment.
- Strong Python and FastAPI skills; solid SQL/PostgreSQL knowledge and familiarity with pgvector or vector search concepts.
- Experience with Docker, CI/CD and containerised deployments on Kubernetes and comfort with a major cloud provider (preferably AWS).
- Practical knowledge of LLM application patterns (RAG, prompt design, structured outputs) and measurement-first mindset (tests, metrics, evaluation).
- Good communication skills, collaborative approach and experience mentoring junior teammates.

Responsibilities

You will build and ship end-to-end AI services, including data pipelines, model development, and asynchronous REST APIs. Additionally, you will maintain training pipelines, implement retrieval systems, and mentor junior engineers to ensure high-quality production deployments.

Requirements

Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of backend development experience with machine learning applications. Strong proficiency in Python, FastAPI, and containerized environments like Kubernetes is essential for this role.

Key skills

• Python — in 1085 other listings on The Stack
• FastAPI — in 86 other listings on The Stack
• PostgreSQL — in 267 other listings on The Stack
• SQL — in 487 other listings on The Stack
• Kubernetes — in 542 other listings on The Stack
• Docker — in 439 other listings on The Stack
• Git — in 206 other listings on The Stack
• CI/CD — in 595 other listings on The Stack
• AWS
• Machine Learning
• LLM
• Retrieval-Augmented Generation
• OpenTelemetry
• Prometheus
• Vector Search
• Model Context Protocol

On The Stack (as of 2026-10-24)

• HFM has 29 other listings on The Stack, 29 of them marked as offering visa sponsorship.
• 24 visa-sponsored ai engineer jobs in Europe on The Stack, posted in the last 60 days.

Frequently asked questions about HFM

Is this Mid AI Engineer role still open?

It was posted on 2026-10-22 and is listed as active on The Stack. Confirm on HFM's application page before applying.

Does HFM offer visa sponsorship?

This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on HFM's site.

Where is this role located?

The listing gives the location as Greece. It is marked on-site.

What skills does this role ask for?

The listing names: Python, FastAPI, PostgreSQL, SQL, Kubernetes, Docker, Git, CI/CD, AWS, Machine Learning, LLM, Retrieval-Augmented Generation, OpenTelemetry, Prometheus, Vector Search, Model Context Protocol.