Forward Deployment Engineer (FDE) – GenAI / Full Stack

BlackCube Labs; Irving (TX); On-site; USD 130,000 - 170,000; Full time

Job summary

BlackCube Labs in Irving, TX is seeking a Forward Deployment Engineer with extensive GenAI and full-stack expertise to deliver GenAI-powered solutions and integrate AI into enterprise SDLC processes onsite. You will collaborate with enterprise LOB teams to accelerate product delivery and adoption of AI tooling.

The role requires Advanced Java 17 + Spring Boot microservices, hands-on GenAI experience, including MCP development, and strong full-stack capabilities.

Qualifications

• Experience with enterprise GenAI deployments and SDLC integration.
• Hands-on GenAI experience including MCP development.
• Strong Java/Spring Boot microservices and full-stack capabilities.

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 Microservices

React / Angular / TypeScript

Python

GenAI / LLMs / Prompt Engineering

Devin, Claude Code, Cursor / Copilot

MCP (Model Context Protocol) Servers &

RAG & Multi-Agent Architectures

Agentic AI & Autonomous Workflows

APIs, Distributed Systems & Event-Driv

CI/CD & Developer Tooling

OpenShift (OCP) / GCP

Enterprise Governance & Compliance

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