Senior Product Engineer, Agent Systems

• Design, build, and ship specialized AI agents including parsers, rule extractors, dependency mappers, test synthesizers, and workflow orchestrators


• Develop agent behaviors that operate on a structured Code Intelligence Graph with full traceability and deterministic auditability


• Implement governed autonomy across shadow, supervised, and autonomous execution modes with human-in-the-loop controls


• Orchestrate and integrate frontier LLMs (e.g., OpenAI, Anthropic, Google) through structured decision models under strict governance constraints


• Own end-to-end delivery of agent components from design and prototyping through deployment and post-release validation


• Build and maintain robust testing frameworks including unit, integration, E2E, and behavior-equivalence verification systems


• Collaborate with platform, DevOps, and product teams to ensure scalable, reliable, and repeatable release pipelines


• Document agent logic, contracts, prompts, and verification strategies while contributing to engineering best practices across the team

Requirements:

• 4+ years of strong production experience in Python engineering, with emphasis on clean, maintainable, and testable code


• Solid understanding of asynchronous programming (asyncio), distributed systems concepts, and system reliability patterns


• Hands-on experience integrating LLM APIs (OpenAI, Anthropic, or similar), including structured outputs, streaming, and retries


• Strong expertise in test-driven development with pytest and experience building comprehensive automated test suites


• Experience designing and working with scalable backend systems using frameworks such as FastAPI or equivalent


• Familiarity with cloud infrastructure (AWS services such as EKS, ECS, S3, Lambda, DynamoDB, CloudWatch)


• Experience with Docker, Kubernetes, and CI/CD pipelines (GitHub Actions preferred)


• Strong problem-solving mindset with a focus on ownership, quality, and continuous improvement


• Excellent communication skills and ability to collaborate in distributed, fast-paced teams


• Availability to overlap with US working hours from India

Benefits:

• Opportunity to work on cutting-edge agentic AI systems powering enterprise modernization at scale


• High-impact role where your work directly shapes core product capabilities


• Exposure to frontier LLM technologies and advanced AI orchestration frameworks


• Strong engineering culture focused on test-first development and release discipline


• Remote-friendly environment with collaboration across global teams


• Continuous learning opportunities in AI systems, distributed architecture, and cloud engineering


• Clear ownership of features from design through production deployment


• Inclusive and collaborative culture driven by strong engineering principles and curiosity.