What We Offer:

• Night Shift allowance as per process
• Health Insurance
• Tuition Reimbursement
• Work Life Balance Initiatives
• Rewards & Recognition
• Internal movement through IJP
• Canteen Subsidy
• Transportation Allowance

Key Responsibilities:

AI-Augmented Development — Personal Delivery

• Deliver production-grade features across the tech stack using AI coding tools as primary development accelerators.
• Use Claude Code for agentic code generation, refactoring, debugging, test writing, and documentation at scale.
• Use GitHub Copilot for inline code completion, PR review assistance, and boilerplate elimination across all supported languages.
• Use Cursor for multi-file editing, codebase-aware AI suggestions, and context-rich code navigation.
• Establish personal best practices and document AI-assisted workflows as reusable team playbooks.
• Build reference implementations and sample projects that showcase AI-augmented development at its best.

Team Training & AI Adoption Program

• Design and deliver a structured AI Tools Adoption Program tailored for each team: .NET, MEAN/MERN, Python, PHP, Moodle, DB, QA, DevOps, and BA.
• Conduct hands-on workshops, pair programming sessions, and live coding demos to embed AI tool usage into daily workflows.
• Create team-specific prompt libraries, AI workflow guides, and coding standards for each technology stack.
• Run regular “AI Productivity Labs” — short, focused sessions solving real sprint tasks using AI tools collaboratively.
• Measure developer productivity improvements pre- and post-training using defined KPIs (PR velocity, defect rate, time-to-review, etc.).
• Identify and mentor internal AI Champions within each team to sustain adoption independently.

Tool Evaluation & Standards

• Evaluate emerging AI coding tools (Claude Code, Copilot, Cursor, Tabnine, Codeium, Windsurf, etc.) and recommend the best fit for each team context.
• Define AI coding governance: what to use AI for, what to review before committing, and how to validate AI-generated code for security, correctness, and quality.
• Establish code review standards specifically for AI-generated code — covering hallucination risk, over- generation, and IP/license concerns.
• Integrate AI tool workflows into existing CI/CD pipelines, GitHub Actions, and code review processes.
• Work with DevOps team to configure and manage GitHub Copilot Enterprise, Claude Code CLI, and related tooling at the organization level.

Cross-Team AI Use Case Development

• .NET Team: AI-assisted API development, test generation, legacy code refactoring, and Copilot Chat for debugging.
• MEAN/MERN Team: AI-driven component generation, API integration, and front-end optimization workflows.
• Python Team: AI-accelerated scripting, automation, data pipeline development, and REST API generation.
• PHP / Moodle Team: AI-assisted plugin development, WordPress customization, and LMS configuration automation.
• Database Team: AI-powered SQL query generation, optimization, stored procedure writing, and schema review.
• QA Team: AI-generated test cases, automated test script creation, API test coverage expansion with Copilot.
• DevOps Team: AI-assisted IaC (Terraform/CloudFormation) writing, pipeline configuration, and incident runbook generation.
• BA Team: AI-powered requirements drafting, user story generation, JIRA ticket creation, and documentation automation.

Required Skills & Expertise

AI Coding Tools (Non-Negotiable)

• Claude Code — expert-level CLI usage, agentic task execution, multi-file codebase interaction, custom CLAUDE.md configuration.
• GitHub Copilot — advanced prompt crafting, Copilot Chat, Copilot for PRs, workspace-level context usage.
• Cursor — multi-file editing with AI context, Composer mode, codebase indexing.
• ChatGPT / Claude / Gemini — effective use for architecture decisions, code review, documentation generation.
• Familiarity with: Tabnine, Codeium, Windsurf, Amazon Q Developer, or similar tools.

Development Proficiency (Multi-Stack)

• Strong hands-on coding in at least 2 of: C#/.NET, Node.js, Python, PHP, JavaScript/TypeScript.
• Familiarity with front-end frameworks: React.js, Angular, or Vue.js.
• Understanding of REST API design, database integration (SQL + NoSQL), and backend architecture patterns.
• Comfortable reading and reviewing code across all team stacks even without deep expertise in each.

Training & Communication

• Proven ability to design and deliver technical training programs for developers at varying skill levels.
• Strong documentation skills — ability to write clear prompt guides, workflow playbooks, and AI governance policies.
• Experience running workshops, code labs, or pair programming sessions.
• Ability to explain AI tool behaviour, limitations, and best practices in plain language to non-experts.

Engineering Practices

• Strong understanding of Git workflows, code review practices, and CI/CD pipelines.
• Knowledge of unit testing, integration testing, and how AI tools can accelerate test coverage.
• Awareness of AI code security risks: prompt injection, over-reliance, license contamination, and hallucinated logic.
• Experience integrating AI tools into GitHub Actions or similar pipeline automation.

Preferred Qualifications

• Tech / M.Tech / BCA / MCA in Computer Science, IT, or related field.
• 5+ years of software development experience with at least 2 years using AI coding tools in professional projects.
• Proven track record of delivering features with AI-assisted workflows (portfolio or GitHub examples preferred).
• Experience designing and running developer upskilling or mentoring programs.
• Familiarity with GitHub Copilot Enterprise admin configuration and usage analytics.
• Knowledge of AI governance, responsible AI usage policies, and IP considerations.
• Exposure to Agile/Scrum environments and sprint-based delivery.