AI-Native Developer (Full-Time)

Role Summary AI-Native Developer (7–8 year’s experience) with 4+ years in AI-assisted development using tools like Copilot, Codex, Cursor, Claude Code. Responsible for driving effective adoption of AI tools across the team and SDLC , delivering measurable productivity gains. Key Responsibilities Use AI tools for coding, testing, documentation, debugging, and optimisation Drive AI adoption across end-to-end SDLC (requirements → development → testing → support) Act as AI champion – guide, coach, and support team in effective tool usage Define and enforce AI engineering best practices and guardrails Enable ≥20% productivity improvement through AI-assisted development Monitor quality of AI-generated outputs (code, test cases, documentation) Core Skills Strong development experience in: Java Hands-on experience with: GitHub Copilot, Codex, Cursor, Claude Code Strong understanding of: Prompt engineering (zero-shot, few-shot, CoT) SDLC/PDLC processes with AI integration AI & Advanced Capabilities Experience with: RAG pipelines (data ingestion, chunking, embeddings, retrieval) Agentic AI systems and multi-agent workflows MCP tools and connectors for enterprise integrations Ability to build: Data ingestion pipelines (structured & unstructured) AI-enabled developer workflows integrated with tools like JIRA/Confluence Key Success Metrics ≥20% improvement in development productivity Increased AI adoption across teams Improved code quality & reduced defects Role Focus Hands-on + Enablement role (not purely individual contributor) Drives AI-led engineering transformation within the team