AI Agent Engineer
Build and own core AI agent features and SDKs for an autonomous identity platform. Work across the stack (React, GraphQL, Python/Flask) and mentor engineers as the team scales.
About the job
Responsibilities
- Lead the development of agent pipelines: design modular SDK components, drive production rigor, and support the growth of junior engineers.
- Architect composable agent SDKs with built-in safety and robust fallback strategies.
- Design tracing tools and alert dashboards to ensure agent performance and quality.
- Own the agent lifecycle—from chaining and testing to CI/CD and production rollout.
- Collaborate closely with security and operations teams to ensure agent governance and auditability.
- Mentor and uplevel teammates on best practices in observability and resilience.
- Solve challenging technical problems across the stack to develop critical customer-facing features; includes the frontend (React, Typescript), communication layer (GraphQL, Apollo), and backend (Python, Flask, sqlalchemy).
Requirements
- You’ve built and deployed AI-driven workflows — such as tool-calling systems, retrieval-augmented generation (RAG) pipelines, or autonomous agentic orchestration using frameworks like LangChain, LangGraph.
- Strong software engineering experience with 5+ years of building and scaling end-to-end production systems.
- Strong knowledge of API design, system performance, and software architecture.
- Proficiency in modern programming languages such as Go, TypeScript, or Python, and familiarity with frameworks like React.
- Familiarity with identity and access management systems, such as SCIM, OAuth2, SAML, or integrating with IDPs and HRIS tools.
Nice-to-Haves
- Experience mentoring and upleveling teammates on best practices in observability and resilience.
Skills
LangChain, LangGraph, React, TypeScript, Python, Go, GraphQL, Apollo, Flask, Sqlalchemy, RAG, Oauth2, SAML, SCIM
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