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Job Description
Structured overview of role & requirementsAbout 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.