AI Deployment Engineer

Role: AI Deployment Engineer/Lead- Devin AI

Location: Charlotte, NC ( Hybrid - 3 Onsite & 2 remote)

Interview - Virtual

12 13 years IT experience with a strong client-facing background (not a backend-only developer), proven experience in end-to-end deployment of AI/GenAI applications, including solution design, integration, deployment, and production rollout. The candidate should be able to interact with clients, gather business requirements, propose AI solutions, and collaborate closely with technical teams, with strong communication and stakeholder management skills

The Role

Responsibilities:

• Lead the end-to-end rollout and scaling of GenAI tools (Devin, Claude Code, Cursor) across engineering teams
• Act as a hands-on full-stack engineer, building and integrating solutions into enterprise SDLC workflows (CI/CD pipelines, repositories, APIs)
• Define and execute enterprise-wide rollout strategies, including phased onboarding and scaling models
• Partner with LOB teams to enhance the product delivery lifecycle using GenAI capabilities
• Conduct developer onboarding, training, and enablement sessions, promoting best practices in prompt engineering and workflow integration
• Monitor tool adoption, usage metrics, and performance, ensuring continuous optimization
• Provide hands-on troubleshooting, performance tuning, and scaling support
• Establish reusable playbooks and best practices for enterprise-wide GenAI adoption
• Ensure alignment with enterprise governance, security, and compliance frameworks
• Identify adoption gaps and proactively drive improvements in efficiency and scalability.

Requirements:

Strong full-stack development experience with:

• Java
• Python
• React / Angular / TypeScript

Experience with:

• Distributed systems
• Microservices & event-driven architectures
• API design and integration

Hands-on experience with:

• CI/CD pipelines
• Developer tooling ecosystems

Knowledge of cloud platforms such as:

• OpenShift (OCP)
• Google Cloud Platform (Google Cloud Platform)

GenAI / LLM Expertise (Must-Have)

Hands-on experience with:

• Devin
• Claude / Anthropic models
• Cursor or similar developer productivity tools (Copilot, etc.)

Strong understanding of:

• Prompt Engineering
• RAG (Retrieval Augmented Generation)
• Agent-based workflows and tool usage
• Multi-agent architectures
• MCP (Model Context Protocol) servers and integrations
• Agentic systems including:
  • Orchestration
  • Tool chaining
  • Autonomous decision-driven workflows

Preferred, but not required:

• Ability to thrive in fast-paced, evolving environments
• Strong collaboration with cross-functional and LOB teams
• Capability to translate business requirements into technical solutions
• Experience working in enterprise environments with governance & compliance
• Strong passion for driving adoption and improving developer productivity