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