Remote Forward-Deployed AI Engineer

Praxent

North Carolina

Remote

USD 156,000 - 186,000

Full time

3 hours ago
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Benefits offered by this job

15 days PTO
9 US holidays
Wellness days
Paid parental leave
Medical insurance
Dental insurance
Vision insurance
Disability insurance
IRA with up to 3% match

Job summary

Praxent is seeking a Forward Deployed Engineer to embed with a client bank, lender, or payments company and build AI systems that run in production. You own a workstream from problem understanding to delivered, documented solutions, and you will work with Praxent Senior FDEs and product managers and the client's team.

The role emphasizes collaborating across legacy cores, governance, risk and compliance, with a focus on reliability, explainability, and handoff readiness.

Qualifications

  • 3+ years shipping production software with client deployments.
  • Direct experience with LLM and agentic systems (RAG, frameworks, vector stores, evals).
  • Fluency with Python and/or TypeScript; cloud experience (AWS/Azure/GCP) and CI/CD.
  • Experience embedded with a client’s environment and working with risk/compliance in regulated settings.

Responsibilities

  • Ship dependable AI in the client’s environment with compliant features.
  • Own end-to-end workstream from understanding problem to delivered solution.
  • Integrate AI with legacy cores, governed data, and client identity/infrastructure.
  • Create runbooks, guardrails, and handoffs for client operations.
  • Build trust with client engineers through clear communication.

Skills

Production software
LLM / agentic systems
Python
TypeScript
Cloud platforms
CI/CD
Client embedding
Banking/payments domain

Tools

RAG frameworks
Vector stores
Evals

Job description

Praxent is seeking a Forward Deployed Engineer to embed with a client bank, lender, or payments company and build AI systems that run in production. You own a workstream from problem understanding to delivered, documented solutions, and you will work with Praxent Senior FDEs and product managers and the client's team.

The role emphasizes collaborating across legacy cores, governance, risk and compliance, with a focus on reliability, explainability, and handoff readiness.

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