AI Deployment Engineer — Customer-Facing, Hybrid, Equity

raydar; San Francisco (CA); Hybrid; USD 180,000 - 230,000; Full time

Benefits offered by this job

Equity

Job summary

Raydar is seeking a Forward Deployed Engineer to work directly with business customers, deploying and configuring AI-driven software in production environments. You will own customer rollouts from scoping through delivery, and bring field learnings back to the engineering team to strengthen the core platform.

Act as the technical partner to the commercial team throughout the sales and expansion process. Embed with customers, build evaluation suites with real data, and collaborate with

Qualifications

• Hands-on experience building and deploying LLM-based agents with customers.
• Customer-facing technical deployment or implementation experience, owning rollouts.
• Strong Python skills with FastAPI and React for frontend work.
• Experience at a high-growth startup in an early-stage setting.
• For junior candidates, a degree from a strong computer science program.

Responsibilities

• Embed with customers to understand processes and identify automation value.
• Deploy and configure AI agents, including data source connections and SSO integrations.
• Build evaluation suites using real customer data to verify quality before release.
• Partner with the go-to-market team to close and expand accounts as the technical authority.
• Feed field insights back into core product and diagnose production issues.

Skills

LLM agents

Python (FastAPI)

React

Startup experience

Bay Area relocation

Education

CS degree

Tools

FastAPI

React

Job description

Raydar is seeking a Forward Deployed Engineer to work directly with business customers, deploying and configuring AI-driven software in production environments. You will own customer rollouts from scoping through delivery, and bring field learnings back to the engineering team to strengthen the core platform.

Act as the technical partner to the commercial team throughout the sales and expansion process. Embed with customers, build evaluation suites with real data, and collaborate with