Devin AI Forward Deployment Engineer

Cbase Inc; Charlotte (NC); On-site; USD 100,000 - 150,000; Full time

Job summary

Cbase Inc is seeking a highly skilled Forward Deployment Engineer in Charlotte, NC, with deep expertise in Devin and modern GenAI tools. This role involves designing and deploying GenAI-powered solutions and integrating them into enterprise workflows.

The ideal candidate will have 10+ years of experience, a strong understanding of full-stack engineering, and expertise with CI/CD pipelines and cloud platforms.

Qualifications

• 10+ years of experience as a Forward Deployment Engineer.
• Deep expertise in GenAI tools and their enterprise application.
• Proficiency in prompt engineering and workflow integration.

Responsibilities

• Design, develop, and deploy GenAI‑powered solutions using Devin.
• Integrate GenAI tools into enterprise SDLC workflows.
• Monitor and optimize tool usage and performance outcomes.

Skills

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 (OCP, GCP)

Tools

Devin

Developer tools like Cursor / Copilot‑equivalent tools

RAG (Retrieval Augmented Generation)

Agent‑based workflows / tool usage

MCP (Model Context Protocol) servers

Job description

Devin AI Forward Deployment Engineer – Charlotte, NC – 10+ Years Required

Need Only Visa Independent Consultants.

We are seeking highly skilled Forward Deployment Engineers with deep expertise in Devin and modern GenAI tools to support enterprise‑scale rollout and adoption. 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.

Skills

1. Full‑stack engineering experience (Java, React/Angular/TypeScript, Python).
2. Experience with distributed systems, APIs, event‑driven and microservices architecture.
3. Hands‑on experience with CI/CD pipelines and developer tooling.
4. Strong understanding of cloud platforms (OCP, GCP).

Hands‑on Experience With

• Devin.
• Developer tools like Cursor / Copilot‑equivalent tools.
• RAG (Retrieval Augmented Generation).
• Agent‑based workflows / tool usage.
• MCP (Model Context Protocol) servers and integrations.
• Agentic services and autonomous AI workflows, including orchestration, tool chaining, and decision‑driven execution across systems.