Principal Engineer - AI
Circana (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 40–70 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of agentic AI systems from domain discovery to production for solution families.
- Translate domain expertise into technical specifications, evaluation sets, and orchestrate engineering aspects like context management, tool contracts, guardrails, and tracing.
- Set technical direction and anchor a pod of engineers, establish reusable engineering patterns, and represent work to diverse stakeholders including product owners and executives.
Minimum Requirements
- Proven track record designing and shipping agentic systems into production for real users.
- Production experience with agent orchestration frameworks such as LangGraph, Google ADK, or Microsoft Agent Framework.
- Production experience on at least one major cloud AI stack including GCP Vertex AI or Azure AI Foundry.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced with multiple AI model families and capable of choosing appropriate models for production.
- Strong practical skills in context management, prompt design, plan generation, structured outputs, and tool design with daily fluency in agentic coding tools (Claude Code preferred).
- Experience working in consumer goods, retail, or large-scale measurement data environments and comfortable engaging across engineers, domain experts, and senior executives.