Staff AI Product Engineer
Jobgether (company site, opens in a new tab)7+ yrsRemoteDirect career pageEst. 40–70 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own architecture and hands-on delivery of production multi-agent systems that safely execute workflows across business tools and customer data.
- Build MCP integrations, unified data infrastructure, contextual memory, and evaluation systems to improve agent usefulness and reliability.
- Set agentic engineering standards and influence the product roadmap, working with engineering, product, and customers; mentor engineers while remaining focused on execution.
Minimum Requirements
- Work Experience Required: At least 7 years of full-stack software development experience.
- Proven hands-on experience deploying production-grade multi-agent systems and MCP servers or integrations; prototypes alone do not meet the stated requirement.
- Proficiency in React, TypeScript, Node.js, PostgreSQL, GraphQL, and LangGraph.
- Strong production engineering experience covering reliability, observability, security, permissions, safe execution, AI evaluation, and safeguards for agents used by real users.
Ideal Candidate Profile
- Has built and scaled B2B SaaS products and can combine hands-on engineering with architecture, product scoping, and roadmap influence.
- Likely to fit an early-stage, small engineering environment: the JD prefers startup experience, ideally on a team of fewer than 20, and evidence of setting direction amid ambiguity.
- Experience with ERP, CRM, supply chain, marketplaces, or accounting systems is advantageous; the role centers on agents acting across operational business tools.