Forward Deployment Engineer FDE GenAI Full Stack

Doist

Irving (TX)

On-site

USD 150,000 - 190,000

Full time

14 days+
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Job summary

Doist is seeking a Forward Deployment Engineer (FDE) to architect and deploy GenAI-powered solutions across enterprise SDLC workflows. You will collaborate with LOB teams to accelerate product delivery and lead onboarding of AI tools within a fast-paced environment.

Required 12+ years of experience with strong GenAI expertise, including MCP development, and hands-on full-stack capabilities in Java, Spring Boot, React/TypeScript, and Python. Onsite in Irving, TX, five days a week.

Qualifications

  • 12+ years of experience required with strong GenAI focus.
  • Experience implementing GenAI solutions in enterprise environments.
  • Hands-on with MCP development and onboarding GenAI tooling.

Responsibilities

  • Design and deploy GenAI-powered solutions.
  • Integrate AI tools into enterprise SDLC workflows.
  • Partner with LOB teams to accelerate product delivery.
  • Lead AI tool onboarding, training, and enablement.
  • Establish GenAI best practices and adoption strategies.
  • Optimize AI tool performance and workflows.
  • Troubleshoot, tune, and scale enterprise AI solutions.

Skills

Java 17 + Spring Boot
React/Angular/TypeScript
Python
GenAI/LLMs
MCP Integrations
RAG/Multi-Agent
Agentic AI
APIs & Distributed Systems
CI/CD Tools
OpenShift/GCP
Governance/Compliance
Autonomous Workflows

Job description

HIRING: Forward Deployment Engineer (FDE) – GenAI / Full Stack

Location: Irving, TX - Onsite 5 Days/Week

Experience: 12+ YOE Mandatory | 14+ YOE Preferred

We are looking for a highly experienced Forward Deployment Engineer (FDE) with strong expertise in Generative AI, Agentic AI, and Full-Stack Development to work closely with enterprise LOB teams and drive AI-powered productivity and SDLC transformation.

Key Skills
  • Java 17 + Spring Boot Microservices
  • React / Angular / TypeScript
  • Python
  • GenAI / LLMs / Prompt Engineering
  • Devin, Claude Code, Cursor / Copilot
  • MCP (Model Context Protocol) Servers & Integrations
  • RAG & Multi-Agent Architectures
  • Agentic AI & Autonomous Workflows
  • APIs, Distributed Systems & Event-Driven Architecture
  • CI/CD & Developer Tooling
  • OpenShift (OCP) / GCP
  • Enterprise Governance & Compliance
Top 3 Must-Haves
  1. Advanced Java 17 + Spring Boot Microservices
  2. Strong hands-on GenAI experience, including MCP development
  3. Ability to work in fast-paced enterprise environments and drive GenAI adoption
Responsibilities
  • Design and deploy GenAI-powered solutions
  • Integrate AI tools into enterprise SDLC workflows
  • Partner with LOB teams to accelerate product delivery
  • Lead AI tool onboarding, training, and enablement
  • Establish GenAI best practices and adoption strategies
  • Optimize AI tool performance and workflows
  • Troubleshoot, tune, and scale enterprise AI solutions
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