Forward Deployed Engineer (U.S. Government / IL5)
Posted 25 days ago
The role in short
Embed with enterprise and government customers to build, configure, and deploy custom Individual AI agents, integrating them with existing systems and data sources.
San Francisco / Los Altos, in-person 5 days a week, regular travel to customer sites · Reports to the CTO · $130K to $170K base + equity
About Uare.ai
Uare.ai is the platform for Human-First AI: each person owns an Individual AI trained on their own voice, story, and life.
Enterprise and government teams use it to capture what their best people know and make it available on demand. Every deployment is different. Someone has to sit with the customer and make it work.
Founded by Rob LoCascio, founder and former CEO of LivePerson. Backed by $10.3M from Mayfield and Boldstart Ventures.
About the role
You will be that person. You sit with our customers, build their Individual AIs, connect them to their systems, and make sure they work. What you learn in the field shapes what we build next.
What you'll do
- Launch customers. Scope, configure, and ship each deployment, from kickoff to first use.
- Build their AIs. Turn a customer's documents, recordings, and know-how into working Individual AIs.
- Connect their systems. Wire Uare.ai into their tools, data sources, and sign-in.
- Run the sessions. Onboard each team, lead guided tests, and collect structured feedback.
- Fix it fast. Debug issues on site and get the right fixes to engineering.
- Bring it home. Turn repeat customer work into product features and playbooks.
What we're looking for
- U.S. citizenship is required. This role supports U.S. government contracts that require it.
- 3+ years as a software, solutions, or forward deployed engineer working directly with customers.
- Strong in Python or TypeScript, APIs, and data pipelines.
- Hands-on with LLMs, RAG, or AI features in production.
- Calm in front of customers. You explain technical work in plain language.
- Willing to travel to customer sites, including government facilities.
Bonus
- Government or regulated deployments (IL5, FedRAMP, or HIPAA), ideally on Azure. An active clearance is a plus.
- Customer-facing engineering at an AI or early-stage company.
Apply with
One deployment you led: the customer, what broke, and how you fixed it. Optional.
How we hire
We hire for a growth mindset: outcomes over output, experiments by default, and moving the metric that matters.
Location: in-person, 5 days a week, across our San Francisco and Los Altos offices.
Uare.ai is an equal opportunity employer. We welcome people of every background and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. U.S. citizenship is required for this role because it supports U.S. government contracts that require it.
The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity and a comprehensive benefits package.
Annual Salary
$130,000—$170,000 USD
Prep for this interview
4 questions likely to come up at Uare.ai, each matched to a line in this posting.
- 1LLMs, RAG and agents
They wrote: “Hands-on with LLMs, RAG, or AI features in production.”
A customer wants a chatbot over their internal documents. How do you build it?
How to answer
Why they ask: RAG is the most common first project. They want the whole path, from messy files to answers people trust.
- Collect and clean the documents; handle permissions per user
- Split them into chunks, embed, and store with source links
- Retrieve, then answer with citations; say “I don't know” when retrieval is weak
- Build a test set of real questions with expected answers before launch
Tip: Spend more time on the data and on testing than on the model.
- 2Cloud, deployment and security
They wrote: “Government or regulated deployments (IL5, FedRAMP, or HIPAA), ideally on Azure. An active clearance is a plus.”
The customer's security team sends a 200-question review. How do you handle it?
How to answer
Why they ask: Security reviews often block deals. FDEs help get through them.
- Start from your company's standard answers (SOC 2 report, past reviews)
- Answer clearly; don't oversell
- Bring in your security team for anything you're unsure of
- Keep the new answers for the next customer
Tip: Reuse past answers, flag honest gaps, and offer a call for the hard questions.
- 3Travel
They wrote: “San Francisco / Los Altos, in-person 5 days a week, regular travel to customer sites · Reports to the CTO · $130K to $170K base + equity”
How do you handle being on the road with customers for weeks at a time?
How to answer
Why they ask: Many FDE roles involve regular travel. They check you know what you're signing up for.
- Your past travel or on-site experience
- How you stay productive away from the team
- What travel level works for you, said plainly
Tip: Be honest about what works for you. A mismatch here hurts both sides later.
- 4Integrations and APIs
They wrote: “Strong in Python or TypeScript, APIs, and data pipelines.”
How would you set up single sign-on for a large customer?
How to answer
Why they ask: SSO (SAML or OAuth/OIDC) is a common first task in enterprise deals and a common source of delays.
- Confirm their identity provider (Okta, Entra ID, Google) and protocol
- Exchange metadata and test in a staging tenant first
- Map user groups to roles in your product
- Plan for user removal: what happens when someone leaves the company
Tip: Mention the people involved, and the protocol second. The customer's identity team usually controls the timeline.
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