Senior Full Stack AI Engineer

Onbench; San Francisco (CA); On-site; USD 180,000 - 260,000; Full time

Job summary

Onbench, Inc. is seeking a Senior Full Stack AI Engineer to design, build, and deploy production AI agents and the platforms they run on.

You will own full-stack work across React interfaces, NestJS services, and AWS infrastructure, with eval and feedback systems that measure agent performance. This is a role for an engineer who owns systems used in daily operations, not a pure research or prompt-engineering position, with relocation support to San Francisco.

Qualifications

• > 5+ years of Node.js, TypeScript, and React in production
• "> At least one AI agent built and running in production
• "> AWS deployment with real traffic
• "> Experience with LLMs and agent frameworks (LangChain or LlamaIndex)
• "> Production observability via Datadog, OpenTelemetry, or CloudWatch
• "> Design eval frameworks and feedback loops for AI systems
• "> Incident management end-to-end and clear design rationale
• "> Use of AI coding tools (Cursor, Claude Code, Copilot) with production code

Responsibilities

• Design and deploy production AI agents that run critical workflows for food distributors
• Build full-stack features in TypeScript, NestJS, and React and ship to production
• Develop eval frameworks and feedback loops to measure agent performance
• Handle large-scale order and catalog data at the application layer
• Manage AWS infrastructure (Lambda, ECS, RDS, S3) with Terraform
• Embed observability as a first-class concern with logging, tracing, and alerting

Skills

Node.js

TypeScript

React

AI agent in prod

AWS

LangChain / LlamaIndex

Observability tooling

Incident management

AI coding tools

Tools

Terraform

LangChain

LlamaIndex

Job description

About Our Client

Our client is a fast-growing AI technology company transforming the food distribution industry through intelligent automation. Their AI-powered platform helps food distributors automate critical workflows across sales, operations, procurement, credit control, logistics, and supply chain management. Built by industry experts with deep experience in food distribution, the platform enables distributors to reduce manual work, improve efficiency, and scale their operations more effectively.

The Opportunity

We are looking for a Senior Full Stack AI Engineer. You will design, build, and ship the agents described above and the platform they run on. The work spans the full stack: React interfaces, NestJS services, AWS infrastructure, and the eval and feedback systems that determine whether an agent is actually performing. Everything you build goes into production for customers moving real product on real deadlines.

This is a role for an engineer who wants ownership of systems that carry a customer’s daily operations, not a research position and not a prompt-engineering position.

Requirements

• 5+ years of experience with Node.js, TypeScript, and React in production
• At least one AI agent built, deployed, and running in production, beyond the prototype stage
• Applications deployed on AWS and serving real traffic
• Hands-on experience with LLM and agent frameworks such as LangChain or LlamaIndex
• Production use of observability tooling such as Datadog, OpenTelemetry, or CloudWatch
• Experience designing eval frameworks for AI systems and building self-learning or feedback-loop systems
• Direct experience managing production incidents end to end, from detection through resolutionThe ability to clearly articulate and defend system design decisions you personally made
• Active use of AI coding tools such as Cursor, Claude Code, or Copilot to increase output, grounded in a track record of writing production code before LLM-assisted development existed

Responsibilities

• Production AI agents that run operational workflows end to end for food distributors
• Full-stack features in TypeScript, NestJS, and React, shipped to production and maintained there
• Eval frameworks and feedback loops that measure and improve agent performance over time
• Large-scale order, catalog, and operational data at the application layer
• AWS infrastructure (Lambda, ECS, RDS, S3) managed with Terraform
• Observability as a first-class concern, with logging, tracing, and alerting built in from the start

Opportunity Details

• Full-time, permanent position
• Based in San Francisco, CA - reallocation covered
• Opportunity to work with a fast-growing AI technology company transforming the food distribution industry