Job Title: Forward Deployment Engineer (FDE) – GenAI / Full Stack
Location: Charlotte, NC (Onsite – Local Candidates Only)
Pay Rate: $55-$60/hour on C2C
Duration: 6+ Months Contract
Employment Type: C2C
Work Authorization: Visa Independent
Experience: 12–15 Years
Interview: Final Round – In-Person (Mandatory)
Job Overview
We are seeking an experienced Forward Deployment Engineer (FDE) with expertise in GenAI, Full Stack Development, and Enterprise AI Adoption. This is a hands-on engineering role responsible for deploying, integrating, and enabling GenAI solutions across enterprise teams. The ideal candidate will have strong experience with modern AI developer tools, cloud platforms, CI/CD, and full-stack application development.
Key Responsibilities
Design, develop, and deploy GenAI-powered enterprise applications using Devin, Claude Code, Cursor, and other AI developer tools.
Integrate GenAI capabilities into enterprise SDLC workflows and CI/CD pipelines.
Partner with Line of Business (LOB) teams to accelerate software delivery using AI-driven solutions.
Lead GenAI tool onboarding, enablement, and user adoption initiatives.
Develop best practices for prompt engineering, workflow automation, and AI-assisted development.
Monitor application performance and optimize GenAI tool usage across teams.
Troubleshoot deployment issues and support enterprise-scale AI implementations.
Collaborate with cross-functional teams to translate business requirements into scalable technical solutions.
Required Skills
12+ years of Full Stack Development experience.
Strong programming experience with:
Java
Python
React or Angular
TypeScript
Experience with:
Hands-on experience with:
Must-Have GenAI Skills
Devin
Claude (Anthropic)
Cursor or GitHub Copilot equivalent
Prompt Engineering
Retrieval-Augmented Generation (RAG)
Agent-Based Workflows
Multi-Agent Architectures
Model Context Protocol (MCP)
Autonomous AI Agents
AI Orchestration & Tool Chaining
Preferred Qualifications
Experience deploying GenAI solutions in enterprise environments.
Strong understanding of governance, compliance, and enterprise security.
Excellent communication and stakeholder management skills.
Experience enabling engineering teams through AI adoption initiatives.