About the Role
Quick Interview || AI Developer Productivity Consultant - Remote || Full time
Title – AI Developer Productivity ConsultantLocation – RemoteFull TimeRole Overview:The AI Developer Productivity Consultant (AI IDE & Copilot Specialist) is responsible for systematically increasing engineering velocity, reducing cycle time, and improving code quality through the effective adoption and governance of AI-powered development tools (e.g., GitHub Copilot, Claude Code, Cursor, Codeium, Gemini Code Assist). External studies show AI coding assistants can reduce task completion time by 26–55% and significantly improve developer satisfaction, making this a high-leverage role in modern engineering organizations.Position Details
• Title: AI Developer Productivity Consultant (AI IDE & Copilot Specialist)
• Experience Level: 10+ years total software engineering / dev productivity experience, including 2–3+ years with GenAI tooling
• Employment Type: Full-time
Required Experience and Skills
• 10+ years of professional experience in software engineering, developer productivity/DevEx, platform engineering, or related roles in modern engineering organizations.
• 2–3+ years of hands-on experience with GenAI tools in software development contexts, including at least one major AI coding assistant (e.g., GitHub Copilot, Claude Code, Cursor, Gemini Code Assist, Codeium) in day-to-day workflows.
• Strong practical expertise in prompt engineering for code: writing effective prompts for generation, refactoring, debugging, test creation, and multi-step workflows; experience iterating prompts based on model behavior and evaluation.
• Demonstrated experience designing and implementing developer tools, extensions, or integrations for at least one major IDE/editor (e.g., VS Code, JetBrains IDEs, Neovim) or internal engineering platform.
• Solid understanding of GenAI concepts and architecture (LLMs, embeddings, RAG, tools/functions, agents, context management) and how they apply to developer workflows.
• Hands-on experience integrating AI systems with internal services or platforms via APIs, SDKs, or protocols (experience with MCP or similar context/tooling protocols strongly preferred).
• Strong programming skills in at least one mainstream language (e.g., TypeScript/JavaScript, Python, Java, C#, Go), with the ability to build reference applications, scripts, and POCs quickly.
• Experience defining and tracking engineering productivity metrics (e.g., DORA metrics, PR throughput, lead time, MTTR) and running experiments or pilots to measure impact of new tools and practices.
• Excellent facilitation and communication skills; proven ability to train, mentor, and influence senior engineers and tech leads on new tools and practices.
• Familiarity with secure software development, code quality and testing practices, and common concerns around AI-generated code (security, reliability, intellectual property, privacy).
Preferred Qualifications
• Prior experience in a dedicated Developer Productivity, Developer Experience, or Platform Engineering role driving tooling and workflow change at scale.
• Experience rolling out GitHub Copilot (or similar) in enterprise environments, including policy definition, onboarding plans, and measurement of impact.
• Exposure to multi-agent frameworks, orchestration platforms, or agentic patterns applied to software engineering (e.g., automated refactoring agents, test-maintenance agents, documentation agents).
• Background working with large monorepos or complex microservice architectures and understanding of typical bottlenecks in such environments.
• Experience with cloud platforms and CI/CD tooling (e.g., GitHub Actions, GitLab CI, Azure DevOps, Jenkins) and integrating AI capabilities into these pipelines.
Harsh JainSr.Technical Recruiterharsh.jain@quantumworldit.comlinkedin.com/in/harsh-jain-a7b541b018052256693 EXT : 845