Description

Lead the adoption of AI-assisted development tools to drive productivity gains across the team and SDLC.

This role is on-site.

Responsibilities

• Drive effective adoption of AI tools like Copilot, Codex, and Cursor across the development lifecycle.
• Build and maintain data ingestion pipelines for structured and unstructured data.
• Design RAG pipelines including chunking, embeddings, and retrieval mechanisms.
• Develop agentic AI systems and multi-agent workflows with enterprise MCP connectors.
• Integrate AI-enabled developer workflows with JIRA and Confluence.

Required Skills

• 7+ years of software development experience.
• 4+ years of hands-on experience with AI-assisted development tools.
• Strong proficiency in Java.
• Expertise in prompt engineering techniques including zero-shot, few-shot, and Chain-of-Thought.
• Experience with GitHub Copilot, Codex, Cursor, and Claude Code.
• Deep understanding of SDLC/PDLC processes with AI integration.
• Practical experience building RAG pipelines and data ingestion systems.

Preferred Skills

• Experience with multi-agent workflows and enterprise integration connectors.

Key Skills

Education

Any Graduate