AI Forward Deployed Engineer (FDE)

Remote in NJ, US • Posted 1 hour ago • Updated 48 minutes ago
Contract W2
12 Months
Remote
USD60.0/HOURLY - USD75.0/HOURLY
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Agentic AI / GenAI
  • RAG
  • LangGraph
  • Google ADK
  • AWS Strands
  • Langflow
  • MCP
  • Python
  • Java and/or Node.js
  • AWS
  • Azure or GCP
  • React.js / TypeScript
  • APIs
  • security
  • observability
  • US Mortgage/Lending experience
  • preferably origination

Summary

Role: AI Forward Deployed Engineer (FDE)

Location: Remote ( Mount Laurel, New Jersey, USA )

Contract : 12+Months

Experience: 10+ years
Job Description:

The ideal candidate should be a customer-facing, hands-on Technical Architect who can understand mortgage business problems and take Agentic AI solutions from discovery and architecture through coding, integration, testing and production go-live.

Agentic AI Frameworks / Skills: LangGraph, Google ADK, AWS Strands, Langflow, MCP, RAG, AI/agent evaluation, guardrails and AI governance.

Please prioritize candidates with:

10+ years of overall experience with Technical/Solution Architecture or Principal/Lead Engineering background

Strong recent hands-on Agentic AI / GenAI implementation experience

Multi-agent systems, RAG, tool calling, memory and MCP integrations

Hands-on coding with Python, Java and/or Node.js

Full-stack architecture involving React.js / TypeScript, APIs, data and integrations

Strong AWS, Azure or Google Cloud Platform experience

Direct customer-facing discovery, solutioning and technical delivery experience

Production deployment ownership including evaluation, guardrails, security and observability

US Mortgage/Lending experience, preferably origination, underwriting, closing or servicing

LOS/POS or other mortgage platform integration experience is a major advantage

Quick Resume Screening Matrix

Overall Experience - 10+ years - MUST

Agentic AI / GenAI - Hands-on production implementation - MUST

Coding - Python / Java / Node.js - MUST

Architecture - Enterprise / Solution / Full-Stack Architecture - MUST

Customer-Facing Delivery - Discovery, solutioning and stakeholder discussions - MUST

Cloud - AWS / Azure / Google Cloud Platform - MUST

RAG / Multi-Agent / MCP - Strong hands-on experience - HIGH PRIORITY

React.js / TypeScript - Strongly preferred

US Mortgage / Lending - Highly desirable

LOS / POS integrations - Highly desirable

Agent Evaluation / Guardrails / Observability - Preferred

AI Governance / NIST AI RMF / ISO 42001 - Desirable

Business Process Re-engineering / ROI / TCO - Desirable

Please Submit

Candidates who are still hands-on with coding and AI development

Candidates who have built production-grade Agentic AI / GenAI applications

Candidates with clear RAG, multi-agent, MCP or agent-tool integration experience

Candidates who have personally handled customer discovery and architecture discussions

Candidates who have owned solutions from requirements through production go-live

Candidates with strong cloud and enterprise integration experience

Candidates with US Mortgage/Lending and LOS/POS experience should be prioritized

Please Avoid

Pure Solution/Enterprise Architects who are no longer hands-on with coding

Project/Program Managers or purely managerial profiles

Pure Data Scientists / ML researchers without enterprise application delivery experience

Traditional Full-Stack Developers who only mention GenAI as a keyword

Prompt Engineering-only profiles

Candidates whose AI experience is limited to basic chatbot or API integrations

Mortgage Business Analysts/Product Owners without hands-on engineering experience

Profiles showing only AI POCs with no evidence of production implementation or delivery ownership

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10365788
  • Position Id: W3GEXT-64085
  • Posted 1 hour ago
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