Senior AI Platform Engineer

What you'll be doing:

Design and build the core platform that powers an autonomous AI agent - including its reasoning engine, tool orchestration, and the runtime infrastructure it operates on.

Develop and evolve the Micro-services ecosystem that gives the agent its capabilities - from knowledge retrieval and log analysis to code execution and workflow automation.

Own features end-to-end: from requirements analysis and architecture, through implementation, to production deployment and iteration based on real usage.

Instrument, evaluate, and improve the platform's reliability - build observability, track quality, and feed signals back into the system to make the agent more effective over time.

Collaborate with engineering teams across the organization to identify high-impact workflows and translate them into AI-assisted automation that boosts developer productivity.

Work across the stack when the problem requires it - Python services, Kubernetes infrastructure, data stores, CI/CD

דרישות:

What we need to see:

B.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of relevant experience.

Solid system-level understanding with experience designing and delivering production services.

Ability to architect solutions, guide AI tools effectively, and reason about system behavior end-to-end.

Familiarity with containerization and orchestration (Docker, Kubernetes).

Understanding of REST APIs, microservice architectures, and distributed systems.

Ability to learn complex concepts in a fast-paced environment.

Ways to stand out from the crowd:

Familiarity with Kubernetes operators, Helm charts, and cluster management.

Experience with LLM application development - prompt engineering, agentic frameworks (ReAct, tool-use), or RAG pipelines.

Hands-on experience with FastAPI, async Python, or similar modern Python web frameworks.

Experience with vector databases, semantic search, or embedding models.

Knowledge of OAS (OpenAPI Specification), MCP (Mode