Senior AI Engineer

Skills
Continuous Integration And Continuous DeliveryAgentic AI DevelopmentAgentic AutomationAgentic WorkflowsArtificial IntelligenceEngineeringLarge Language Models
Role

What the job involves

The main requirements, responsibilities and hiring steps.

Requirements

  • Demonstrated experience building and operating LLM-powered systems
  • Experience with agentic workflows RAG pipelines or production-grade AI tooling
  • Background in backend or platform engineering
  • Understanding of code failure pipeline security and observability
  • Ability to manage hallucinations feedback loops and evaluation frameworks
  • Comfort selecting custom state machines or orchestration frameworks

Nice to have

  • High autonomy
  • System thinker
  • Tool agnostic
  • Production minded
  • Experimental

Day to day

  • Architect and build production agentic workflows that move work from ticket to PR with minimal friction
  • Design multi-agent systems for code generation testing review and deployment support
  • Ground AI behavior in CI/CD realities and RAG-driven context to improve code quality security and developer productivity