Senior Product Engineer, Agent Systems
New
Based in India, Availability to overlap with US working hours from IndiaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- AWSDockerPythonKubernetesFastAPICI/CDDistributed Systems
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
Responsibilities
- 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
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