Principal Software Engineer
QAD (company site, opens in a new tab)6+ yrsPuneOn-siteDirect career pageEst. 35–55 LPA
Posted on 28 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead and manage a squad of 5 engineers to design, build, and deliver key backend components of an AI-native, cloud-native adaptive manufacturing platform.
- Own and deliver critical systems including the Orchestrator, Reasoning Engine, Agent Runtime, Session/Memory Management, and LLM Gateway (model routing, cost governance, latency SLOs).
- Ensure production reliability and safety through agent sandboxing, execution audit trails, timeout handling, retry logic, and responsible AI guardrails.
Minimum Requirements
- 6+ years experience in backend or AI/ML engineering with at least 2 years in a management role.
- Proven experience operating production Large Language Model (LLM) systems with real Service Level Objectives (SLOs) and post-mortem analysis.
- Strong knowledge of agentic frameworks, Model Context Protocol (MCP) implementation, prompt versioning, evaluation pipeline design, and agent behavior testing.
- Active use of AI-native development tools (e.g., Cursor, Claude Code, CodeRabbit) is mandatory; viewing AI tools as optional disqualifies candidates.
Ideal Candidate Profile
- Experienced leader skilled at combining hands-on technical guidance with effective people management in agile environments.
- Deep domain expertise in AI-driven autonomous agent frameworks and production-grade LLM system operations.
- Execution-focused and accountable, with a collaboration style that integrates cross-functional teams to meet business-critical outcomes.