About Praxent

Praxent is an Anthropic partner, and the opportunity in front of us is unlike anything before. Every financial institution is asking the same question at once: how do we put agentic AI to work inside walls this critical? Very few teams have both the frontier-model access to build the answer and the regulatory depth to get it approved. We have both.

That depth is 26 years in the making. Praxent builds the software that banks, credit unions, lenders, insurers, and wealth platforms actually run, inside the hardest environments in enterprise software. Most firms treat those constraints as obstacles. We've built our craft around them.

These roles have been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Texas, Colorado, Florida, Georgia, Massachusetts, Maryland, Minnesota, Nebraska, New York, New Jersey, North Carolina, Oregon, Pennsylvania, Tennessee, South Carolina, Washington.

Applicants for this position must be currently and legally authorized to work in the United States without the need for current or future sponsorship (e.g., H-1B, J-1, F-1, CPT, OPT, etc.). Praxent will not offer immigration sponsorship or assume sponsorship of an employment visa for this position. International relocation or remote work arrangements outside of the U.S. will not be considered.

The mission

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. You take a piece of the engagement from understanding the client's problem through to a delivered, documented solution.
• AI that fits their world. Clean integration with the systems you are actually given, including legacy cores, governed data, and their identity and infrastructure, rather than a greenfield ideal.
• Systems the client can run without you. The evals, guardrails, runbooks, and handoffs that let their team operate and trust what you built.
• Client engineers who want you in the room because your communication is clear and your follow-through is reliable.