3 months ago
Responsibilities
- Build the orchestration layer that routes, sequences, and supervises real-time multi-agent workflows across customer environments.
- Extend agent harnesses with tooling, sandboxes, and evaluation loops for testing and validating outputs before production changes.
- Contribute to Agent Manager, including guardrails, rollback paths, and human-in-the-loop checkpoints.
- Design, code, and ship full-stack agent-platform features spanning data models, APIs, and front-end tooling.
- Work with customers to identify where automated agent improvement can and cannot be trusted and turn edge cases into platform safeguards.
Requirements
- Comfort with Python, including asyncio and FastAPI, and TypeScript, including Node and React.
- Understanding of computer science fundamentals in distributed systems.
- Coursework, internship, or personal-project experience with LLM APIs, evaluation frameworks, RAG, or agent frameworks such as LangChain or MCP; production experience is not required.
- Interest in coordinating multi-step and multi-agent systems, including state, tool calls, and failure recovery.
- Track record of shipping full projects end-to-end through school, internships, or personal projects.
- Excitement about working in ambiguous, bleeding-edge agentic AI areas and helping define new practices.
Benefits
- Dedicated mentor guiding the engineer end-to-end.
- Expected start date between winter 2026 and summer 2027, with earlier availability preferred.
- Equal opportunity employer.
Tech Stack
Categories
About Netic
Netic builds an AI-driven revenue platform for large enterprises in essential service industries, automating customer acquisition, booking, and repeat work. The company sells enterprise software (SaaS) used across service verticals in North America and reports helping customers book hundreds of thousands of jobs. Headquartered in San Francisco, it is privately held and backed by investors including Founders Fund, Greylock, Hanabi, and Figma cofounder Dylan Field.