Senior AI Engineer
Nexperia Germany GmbH (company site, opens in a new tab)1–6 yrsBengaluruOn-siteDirect career pageEst. 25–45 LPA
Posted on 30 Aug
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Job description
Structured overview of role & requirements
About This Role
- Own the design and architecture of AI agents including reasoning, planning, tool-calling, memory, and user interaction surfaces (chat UI, IDE extensions, CLI tools).
- Ship and deploy end-to-end agent products integrating backend APIs, developer tool integrations, and ensure live operational quality with MLOps/eval collaboration.
- Lead and mentor junior engineers, enforce governance and quality standards, and maintain self-service tooling and support for citizen developers building AI agents.
Minimum Requirements
- 1-6 years hands-on experience building and shipping LLM or agent systems to production (not prototypes).
- Strong skills in Python and/or TypeScript; experience owning full service lifecycle end-to-end.
- Hands-on with agent frameworks or SDKs (e.g., Claude Agent SDK/MCP, LangGraph, AutoGen) or custom orchestration.
- Experience designing REST, GraphQL, streaming/WebSocket APIs; solid grasp of traditional ML and LLM/agent-based AI approaches.
Ideal Candidate Profile
- Experienced in architecting and shipping complex AI agent systems oriented to developer tooling and platform environments.
- Comfortable with hands-on coding, debugging, mentoring, and defining operational standards and governance for AI products.
- Skilled collaborator working with cross-functional teams (Integration Architect, MLOps, security/compliance) in a global, structured engineering environment.