Principal Engineer - AI
Circana (company site, opens in a new tab)BengaluruOn-siteDirect career pageEst. 35–60 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 across the full lifecycle from domain discovery to production.
- Translate domain expertise into technical specifications and own harness engineering components such as context management, guardrails, and tracing.
- Anchor and set technical direction for a pod of engineers, establish reusable patterns, and represent work to diverse stakeholders including product owners and executives.
Minimum Requirements
- Proven experience designing and shipping agentic AI systems into production for real users.
- Strong production fluency with agent orchestration frameworks like LangGraph, Google ADK, or Microsoft Agent Framework.
- Experience with multiple AI model families and production experience on at least one major cloud AI platform (GCP or Azure).
- Work Location: Bangalore; Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Technical leadership in AI agentic architecture with hands-on engineering and lifecycle management experience.
- Comfortable translating complex domain knowledge into scalable AI agent solutions and evaluation infrastructure.
- Experience in consumer goods, retail, or large-scale measurement data domains preferred but not mandatory.