Remote Forward‑Deployed AI Engineer for Banks

Praxent; Texas; Remote; USD 156,000 - 186,000; Full time

Benefits offered by this job

15 days PTO

9 US holidays

Wellness days

Parental leave

Medical insurance

Dental insurance

Vision insurance

Disability insurance

IRA with up to 3% match

Job summary

Praxent seeks a Forward Deployed Engineer to embed with a client and build AI systems that run inside their business. You own an end-to-end workstream from problem understanding through to delivered, documented solutions, including integration with legacy cores and governance.

The role is remote in the United States. Requirements include 3+ years shipping production software, fluency in Python and TypeScript, and experience with AI/LLM in regulated contexts; banking/payments experience is a

Qualifications

• 3+ years shipping production software that others depend on.
• Direct experience with LLM and agentic systems (RAG, agent frameworks, vector stores, evals).
• Fluency in Python and/or TypeScript, and comfort across the stack and a major cloud (AWS, Azure, or GCP), containers, and CI/CD.
• Experience embedded within a client or customer's environment, integrating with real-world systems and data.
• Banking, lending, or payments experience preferred, including working with risk/compliance partners.

Responsibilities

• Shipped, dependable AI in the client's environment with agentic features.
• Own a work stream end to end from problem understanding to delivered, documented solution.
• Integrate AI with legacy cores, governed data, and client infrastructure.
• Create runbooks, guardrails, and handoffs so the client can operate the system independently.
• Build trust with client engineers through clear communication and reliability.

Skills

LLM & agentic systems

Python

TypeScript

Cloud & CI/CD

Client embedding

Tools

AWS

Azure

GCP

CI/CD

Job description

Praxent seeks a Forward Deployed Engineer to embed with a client and build AI systems that run inside their business. You own an end-to-end workstream from problem understanding through to delivered, documented solutions, including integration with legacy cores and governance.

The role is remote in the United States. Requirements include 3+ years shipping production software, fluency in Python and TypeScript, and experience with AI/LLM in regulated contexts; banking/payments experience is a