Forward Deployed Engineer (U.S. Government / IL5)

Uare.ai•Los Altos, CA

2d•$150,000 - $250,000•Onsite

About The Position

Uare.ai is hiring a Forward Deployed Engineer to work directly with customers on U.S. government deployments, including deployments in an IL5 context. The engineer will scope and launch customer deployments, build Individual AIs from customer documents, recordings, and know-how, integrate Uare.ai with customer systems and sign-in, onboard teams, lead guided tests, and collect structured feedback. The role includes debugging issues at customer sites and relaying fixes to engineering. Lessons from repeated customer deployments will inform product features and playbooks. The position is in person five days a week across Uare.ai’s San Francisco and Los Altos offices, with regular travel to customer sites, including government facilities. The role reports to the CTO. U.S. citizenship is required because the position supports U.S. government contracts that require it. The posting states an expected base compensation range of $150,000–$250,000 annually, and says the full-time total compensation package includes equity and comprehensive benefits.

Requirements

U.S. citizenship, required for the government contracts supported by the role.
At least 3 years of experience as a software, solutions, or forward deployed engineer working directly with customers.
Strong skills in Python or TypeScript, APIs, and data pipelines.
Hands-on experience with LLMs, RAG, or AI features in production.
Ability to explain technical work to customers in plain language.
Willingness to travel to customer sites, including government facilities.

Nice To Haves

Experience with government or regulated deployments, such as IL5, FedRAMP, or HIPAA, ideally on Azure.
An active security clearance.
Customer-facing engineering experience at an AI or early-stage company.

Responsibilities

Scope, configure, and deliver customer deployments from kickoff through first use.
Build working Individual AIs using customer documents, recordings, and know-how.
Integrate Uare.ai with customer tools, data sources, and sign-in systems.
Onboard customer teams, lead guided tests, and collect structured feedback.
Debug issues on site and coordinate appropriate fixes with engineering.
Turn recurring customer work into product features and playbooks.