Staff Engineer - Agentic AI

Responsibilities:

• Architect and build production-grade agentic systems spanning LLMs, tools, backend services and healthcare workflows.
• Own critical systems hands-on while setting architecture and engineering standards across teams.
• Define Arintra's approach to agent evaluation golden datasets, metrics, regression suites, release gates and production monitoring.
• Establish patterns for deterministic, LLM-as-judge, human-review and trajectory-level evaluation.
• Define standards for prompts, models, tools and agent versioning.
• Drive architecture decisions across tool design, orchestration, context, memory, guardrails and human-in-the-loop workflows.
• Build safe release mechanisms including eval-gated CI, shadow deployments, canaries and rollback.
• Drive reliability, latency and cost improvements across production AI systems.
• Lead technical design and architecture reviews across teams.
• Mentor senior engineers and raise the overall engineering bar.
• Make and defend build vs buy decisions across models, frameworks and AI infrastructure.

Requirements:

• 9+ years of software engineering experience with deep ownership of production backend systems.
• Strong experience designing distributed systems and making architecture-level decisions.
• 1+ year building LLM agents in production with real users.
• Experience taking an agent from design through production, monitoring and continuous improvement.
• Deep understanding of AI evaluation datasets, metrics, baselines, regression testing and release criteria.
• Strong technical judgment around model selection, agent architecture, reliability, latency and cost.
• Demonstrated technical influence beyond a single feature or team.
• Strong ability to work across engineering, product and domain teams.
• Hands-on enough to build, review and debug critical production systems.