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Devin AI Forward Deployment Engineer

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Cbase Inc
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

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
  • Full‑stack engineering experience (Java, React/Angular/Type Script, 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).
  • 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.
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