Senior Product Engineer, Agent Systems in India at Jobgether
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Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Product Engineer, Agent Systems based in India.
This is a deeply technical, product-focused engineering role where you will build the core “agent fleet” powering next-generation enterprise modernization. You will design and ship intelligent agents that analyze legacy systems, extract business rules, and orchestrate complex transformation workflows across large-scale enterprise environments. Rather than building traditional software components, you will create governed AI agents that operate on structured code intelligence graphs with traceability and auditability. The role combines strong backend engineering with applied AI systems, requiring daily work with Python and frontier LLMs. You will contribute directly to a product-led platform where agents themselves are the product, operating under strict governance and enterprise-grade reliability standards. The environment is highly technical, test-driven, and quality-focused, with strong emphasis on ownership, autonomy, and continuous improvement. This is an opportunity to work on cutting-edge agentic systems used in real-world enterprise modernization at scale.
- 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
- 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
- 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.