Etech Global Services is a global leader in customer engagement solutions serving some of the world most trusted brands. Etech is trusted with their most precious assets- their customers.

Why? Because Etech honors commitments and delivers; the result is measurably changing behavior while driving business growth and profitability through solutions that engage millions of customers each day across multiple touchpoints using analytical,

traditional, digital, mobile and emerging technologies to communicate with your customers when and how they choose.

Website - https://www.etechgs.com/

LinkedIn -

https://www.linkedin.com/company/etech-global-services/about/

About ETS Labs -

ETS Labs, an Etech Global Services Company, is a fast-growing software engineering and AI products organization delivering enterprise-grade SaaS platforms, AI automation tools, and analytics solutions for global clients. Our engineering teams span .NET,

MEAN/MERN, Python, PHP, Moodle, Database, QA, DevOps, and

Business Analysis. As we embrace the next era of AI-augmented software development, we are investing in a dedicated role to lead this transformation from within.

Role Purpose -

This is a high-impact, strategic engineering role. We are not hiring a trainer in the traditional sense — we are hiring a Senior Developer who is a proven expert at building real software using AI coding tools like Claude Code, GitHub Copilot, Cursor, and ChatGPT. The primary mandate is to: (1) build production-quality features using AI-

augmented workflows personally, and (2) systematically upskill our entire multi-stack development team to adopt these tools effectively,

responsibly, and profitably in their daily work.

If you live in your terminal with Claude Code open, have a strong opinion on the best Copilot prompt patterns for .NET vs Python, and enjoy teaching others how to 10x their output — this role is designed for you.

Key Responsibilities

1. 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.

1. 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.

 3. 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.

1. 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

 Solid 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

 B.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.

📌 Sr. AI Augmentation (India)
🏢 FLORENCE MANPOWER SERVICES PRIVATE
📍 India