Netic

Netic

Software Engineer, Product

San Francisco · Exec

Sponsorship not specifiedDetected 423 days ago
TypeScriptPythonReactFull-Stack DevelopmentDatabricksLLMsRAG

About the role

  • Netic is the AI revenue engine for essential services who are the backbone of the American economy.
  • There are now companies operating entirely AI-first on Netic.
  • This role combines technical excellence with customer empathy, crafting products that make complex AI feel simple and delivering immediate value to essential service industries.

Responsibilities

  • Build agentic products: Design, code, and ship full-stack features for Netic's AI platform.
  • Own end‑to‑end delivery: Drive projects from spec to production, handling data models, APIs, front‑end polish, and post‑launch iteration.
  • Ensure quality: Build, test, and monitor features in production to ensure reliability and performance.
  • Product Engineers at Netic build the features that put AI in the hands of real businesses.
  • Build, test, and monitor features in production to ensure reliability and performance.

Requirements

  • experience with databases and cloud infrastructure.
  • AI experience (nice‑to‑have): Hands‑on with LLM APIs, embeddings, or RAG patterns-or hunger to learn fast.

Company info

  • refinement of first principles thinking, execution, and craftsmanship
  • We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
  • Co‑create with customers: Work closely with our customers to understand workflows, gather feedback, and turn pain points into features that stick.
  • Obsess over customers in each line of code
  • With $43M in funding from Founders Fund, Greylock, Hanabi, and Dylan Field who led our Series B, we helped our customers book hundreds of thousands of jobs across services industries in North America.

This listing is sourced directly from Netic's careers page and normalized into a canonical job model.