[Hiring] Forward Deployed Engineer @Praxent

Role Description

As a Forward Deployed Engineer, you embed directly with a Praxent client (a bank, lender, or payments company) and build the AI systems that run inside their business. An Architect or Senior FDE sets the shape of the system. You own a workstream inside it and take it to production writing most of the code, making day-to-day calls, and getting your piece across the compliance line. Not a prototype that impresses in a room, but a system that holds up after we hand it over.

What you will own

• Shipped, dependable AI in the client's environment.
• Agentic and LLM-backed features that meet the client's functional and compliance requirements and keep working after handoff, not just in our staging.
• A work stream, end to end.
• AI that fits their world.
• Systems the client can run without you.
• Earned trust on the ground.

How we work

Praxent runs on a spirit of service that our clients feel from the first week. We lead with 'yes, and': we start from the client's goals and shape ourselves around how they actually work, instead of arriving with a fixed playbook.

In financial services, that means treating constraints like compliance, risk reviews, legacy systems, and audit and explainability requirements not as obstacles to route around, but as the design problem itself. The strongest forward-deployed work embraces those constraints and is better for them.

You will not do this alone. You work shoulder to shoulder with Praxent Senior Forward Deployed Engineers and Product Managers and the client's own people, and you own your part of the result from first commit to confident handoff.

What you bring

• 3+ years shipping production software that other people depended on.
• Direct experience with LLM and agentic systems (RAG, agent frameworks, vector stores, evals) is ideal, though strong product engineers who have recently gone deep on AI are very much in scope.
• Fluency in Python and/or TypeScript, and comfort across the stack and a major cloud (AWS, Azure, or GCP), containers, and CI/CD.
• A track record of integrating with messy, real-world systems and data, not just building from scratch.
• The ability to hold a technical conversation with a client’s engineers and work directly with them.
• Experience in banking, lending, or payments is strongly preferred, including working directly with risk and compliance partners and getting AI through model-risk or security review in a regulated organization.

How you work: our CAN/DO values in practice

• Care deeply: You treat the client's users, data, and constraints as if they were your own.
• Always deliver: You do what you said you would, and people can count on your follow-through.
• Never settle: You keep raising the quality bar even when 'good enough' would pass review.
• Do it together: You build trust with the client's team and your Praxent peers, and you look for win-win.
• Own the outcome: You take responsibility for results, not just tasks, and you are the first to step toward what is broken.

What you’ll love about us

• A seat at the frontier, inside an industry that matters.
• Twenty-six years of runway.
• Real time off: 15 days PTO to start and growing every year, 9 US holidays, 5 wellness days, paid parental leave.
• The standard stuff, done right: Medical, dental, vision, disability, accident, a wellness program, and an IRA with up to 3% match.
• A culture people vouch for.

Salary Information

The US base salary for this full-time position is targeted to be $156,000-$186,000 + benefits. Our ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

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