Jobgether
Senior Product Engineer, Agent Systems
TLDR
Develop governed AI agents and a code-intelligence graph to modernize enterprise systems, using Python and frontier LLMs in a highly autonomous, test-driven product platform.
Accountabilities:
- 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.
Requirements:
Benefits:
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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Benefits
Learning Budget
Continuous learning opportunities in AI systems, distributed architecture, and cloud engineering
Inclusive and collaborative culture
Inclusive and collaborative culture driven by strong engineering principles and curiosity.
Remote-Friendly
Remote-friendly environment with collaboration across global teams
Jobgether runs the largest remote job platform, effectively linking job seekers with over 200,000 flexible and remote opportunities that match their unique skills and preferences. Our focus is on enhancing the hiring process, ensuring efficiency while prioritizing the candidate experience, particularly in the growing health and wellness sector.
- Founded
- Founded 2020
- Employees
- 11-50 employees
- Industry
- Professional Services
Senior Product Engineer