Client-Facing AI Engineer Lead (On-Site)

raydar; Los Altos (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

raydar is seeking a Forward Deployed Engineer to lead client implementations from loading course materials to production features. You will explain AI concepts to non-technical audiences while shipping reliable code in a regulated setting. Expect hands-on coding, customer interaction, and coordination across teams.

The role requires 1–3 years of experience, proficiency with a major cloud AI platform, and willingness to be on-site in Los Altos, CA. Travel may be required in early project phases.

Qualifications

• 1–3 years in an engineering role.
• Hands-on experience with a major cloud AI platform (AWS/Azure/GCP).
• Bachelor's degree in CS or STEM field.
• Experience shipping LLM or agent systems to production.
• Solid coding ability in server-side scripting, a typed web language and React-based framework.
• Experience delivering software in regulated/public-sector environments.
• Willingness to work on-site five days a week.

Responsibilities

• Lead implementation for client accounts and load their materials into the platform.
• Manage prompts and service orchestration within a restricted cloud environment with strict security controls.
• Build client-requested features across front-end and back-end, including interface changes and data tables.
• Lead customer calls and explain AI concepts in plain language for non-technical audiences.
• Allocate roughly half the time to coding, with travel to client sites during early phases.

Skills

Cloud platform experience

Server-side scripting

Typed web language

React framework

Education

Bachelor's degree (CS/STEM)

Tools

AWS

Job description

raydar is seeking a Forward Deployed Engineer to lead client implementations from loading course materials to production features. You will explain AI concepts to non-technical audiences while shipping reliable code in a regulated setting. Expect hands-on coding, customer interaction, and coordination across teams.

The role requires 1–3 years of experience, proficiency with a major cloud AI platform, and willingness to be on-site in Los Altos, CA. Travel may be required in early project phases.