C2C Hiring for GenAI with Java Full Stack || Charlotte NC

Role: GenAI with Java Full Stack
Location: Charlotte NC
Contract

Overview
We are seeking highly skilled Forward Deployment Engineers with deep
expertise in Devin and modern GenAI tools to support enterprise-scale
rollout and adoption across Client. This is a hands-on full-stack
engineering role focused on enabling LOB teams to improve the product
delivery lifecycle through effective utilization of GenAI tools.
 Key Responsibilities
• Design, develop, and deploy GenAI-powered solutions using Devin,
Claude Code, and Cursor
• Integrate GenAI tools into enterprise SDLC workflows (CI/CD,
internal platforms)
• Partner closely with Client LOB teams to accelerate delivery and
improve the end-to-end product lifecycle using GenAI capabilities
• Lead tool onboarding, training, and enablement, driving adoption and
best practices across teams
• Monitor and optimize tool usage, efficiency, and performance outcomes
• Establish and drive best practices for GenAI usage, including prompt
engineering and workflow integration
• Provide hands-on troubleshooting, performance tuning, and scaling support

Required Technical Skills
• Strong full-stack engineering experience (Java,
React/Angular/TypeScript, Python)
• Experience with distributed systems, APIs, Event Driven and
microservices architecture
• Hands-on experience with CI/CD pipelines and developer tooling
• Strong understanding of cloud platforms (Ex. OCP, GCP)

GenAI / LLM Expertise (Must-Have)
• Hands-on experience with:
o Devin
o Claude / Anthropic models
o Developer tools like Cursor / Copilot-equivalent tools
• Strong understanding of:
o Prompt engineering
o RAG (Retrieval Augmented Generation)
o Agent-based workflows / tool usage
o Multi-agent architectures
o MCP (Model Context Protocol) servers and integrations
o Agentic services and autonomous AI workflows, including
orchestration, tool chaining, and decision-driven execution across
systems

Soft Skills & Expectations
• Ability to operate in fast-paced, evolving environments with high
adoption demands
• Strong collaboration with cross-functional and LOB teams
• Ability to translate business needs into technical solutions
• Experience working in enterprise environments with governance and
compliance requirements
• Passion for enabling teams and driving measurable productivity improvements
Roles & Responsibilities
• The Forward Deployment Engineers (FDEs) will act as hands-on
full-stack engineers responsible for enabling and scaling GenAI tools
(Devin, Claude Code, Cursor) across Client.
• Lead end-to-end rollout of Devin, Claude Code, and Cursor across
CDXO and LOB engineering teams
• Act as hands-on full-stack developers, building and integrating
solutions into enterprise SDLC workflows (CI/CD, repos, APIs)
• Define and execute enterprise rollout strategies, including phased
onboarding and scaling models
• Partner closely with Client LOB teams to improve the overall product
delivery lifecycle through effective and optimized utilization of
GenAI tools
• Conduct developer onboarding, training, and enablement sessions,
driving best practices for prompt engineering and workflow integration
• Monitor tool usage, performance, and efficiency metrics, and
continuously optimize adoption and outcomes
• Provide hands-on troubleshooting, performance tuning, and scaling
support for engineering teams
• Establish and promote best practices and reusable playbooks for
enterprise-wide GenAI adoption
• Ensure alignment with Client governance, security, and compliance requirements
Delivery Expectations
• Successful deployment and scaling of Devin, Claude Code, and Cursor
across CDXO and LOB teams
• Demonstrable improvement in the product delivery lifecycle,
including faster development, testing, and remediation cycles through
effective GenAI utilization
• Increased developer productivity and automation outcomes driven by
optimized usage of Devin, Claude Code, and Cursor
• Defined, adopted, and standardized enterprise playbooks and best
practices for GenAI usage across teams
• Continuous monitoring and reporting of adoption metrics, usage
efficiency, and value realization
• Stable, secure, and governed integration of GenAI tools into the
enterprise SDLC ecosystem
• Proactive identification and resolution of adoption gaps,
inefficiencies, and scaling challenges