Senior AI / Platform Engineer

Senior AI / Platform Engineer
Bucureşti
Bucharest, Bucharest, Romania

Location: Remote(EU) Contract details: 12 months/freelance PFA or SRL 

We are looking for a Senior AI / Platform Engineer to help productize Mosaic AI into a governed,
- tenant,
- service platform.

In this role, you will design, build, and operationalize
- scale AI and MLOps systems, enabling data scientists and developers to leverage advanced AI capabilities securely and efficiently. You will work at the intersection of machine learning infrastructure, AI agent frameworks, and
- grade governance, contributing directly to the evolution of the companys
- generation AI platform.

Key Responsibilities:

• Design and build scalable AI platform components using Databricks Mosaic AI, ensuring a secure, governed, and
  - tenant environment.

• Implement and maintain MLOps pipelines leveraging MLflow, Vector Search, and other Databricks ecosystem tools.

• Develop, deploy, and optimize AI agentic architectures including
  - agent systems, orchestration layers, and
  -
  -
  - loop workflows.

• Collaborate with data scientists to
  - tune and deploy foundation models (Open
  AI, Anthropic, etc. ) in production environments.

• Apply strong Python engineering skills (Py
  Torch, Tensor
  Flow) to build and scale distributed ML workloads.

• Define and enforce AI governance, monitoring, and performance standards across the platform.

• Partner with
  - functional teams (Data Engineering, Security, Product) to ensure seamless integration and usability.

Required Skills & Experience:

• Deep expertise in Databricks Mosaic AI, including MLflow integration and Vector Search.

• Proven experience in AI platform engineering or MLOps architecture within
  - scale environments.

• Strong programming experience in Python, with
  - on knowledge of Py
  Torch or Tensor
  Flow.

• Experience designing or implementing agentic AI systems (multi-agent frameworks, orchestration layers, human feedback loops).

• Familiarity with foundation models (e. g. , Open
  AI GPT, Anthropic Claude) and
  - tuning or
  - augmented generation (RAG) pipelines.

• Strong understanding of distributed systems, data pipelines, and model serving in production.

• Excellent
  - solving skills and ability to work collaboratively in
  - functional teams.