Gen AI Trainer

Dear Applicants,

Gen AI Trainer (Technical Focus)Job Description

Gen AI trainer for training technical participants:

Location Mumbai ; Budget : 18-22 LPA.

Role Summary

The Technical Generative AI Trainer will be the subject matter expert responsible for enabling and accelerating software development teams by integrating and training them on AI-powered code generation and developer tools (e.g., GitHub Copilot, Cursor-AI, CodeWhisperer). This role focuses on maximizing code quality, security, and developer velocity within the Software Development Life Cycle (SDLC) through expert usage of Gen AI.

Key Responsibilities

1. Technical Training & Curriculum Development

Tool Mastery Training: Design and deliver hands-on, live-coding workshops focused on the advanced features of tools like GitHub Copilot Chat, Copilot Agents, and Copilot CLI to experienced developers.

Prompt Engineering for Code: Train developers on advanced prompt engineering techniques specific to code generation, including context management, persona creation, and chaining prompts to handle complex, multi-file tasks.

Domain-Specific Enablement: Tailor training sessions to specific technology stacks (e.g., Java/Spring, Python/Django, JavaScript/React, Golang) used by different teams, ensuring relevance to their daily projects.

1. SDLC Integration & Optimization

Code Quality & Testing: Instruct on using Gen AI tools to rapidly generate unit tests, integration tests, and performance benchmarks (e.g., using Copilot to generate PyTest/JUnit cases), and analyze/refactor existing code for efficiency.

Security & Compliance: Train on leveraging Gen AI for security vulnerability scanning and prompt engineering to write secure code from the start, adhering to organizational and industry security standards.

Documentation & Knowledge Transfer: Teach best practices for generating clear, accurate technical documentation, API specifications, and READMEs using Gen AI tools to reduce technical debt.

1. Governance & Best Practices

Configuration & Policy: Advise development leadership and DevOps teams on configuring and governing AI code tools at the organizational level (e.g., managing data retention, content exclusion policies, and setting up enterprise licensing).

Measure Impact: Define metrics (e.g., DORA metrics, time-to-first-commit, test coverage) and establish feedback loops to measure the quantitative productivity gains achieved by developers post-training.

Preferred Qualifications and Experience

Criteria-Preferred Requirements-

Education-Bachelor's/Master's degree in Computer Science, Information Technology, or a closely related technical field.

Development Experience-

· 5-9 years of hands-on experience as a Software Developer/Engineer (preferably Full Stack or Backend) in a major Indian IT or Product company.

AI Tool Mastery-Expert, demonstrable proficiency with major AI pair programming tools like GitHub Copilot, Copilot Chat, and/or other Code LLMs (e.g., Cursor, CodeWhisperer).

Copilot Studio, Gemini Code Assist, Tabnine Enterprise, and Replit AI

Tech Stack Proficiency- Deep expertise in one or more high-demand programming languages (e.g., Python, Java, Golang) and their respective ecosystems (frameworks, build tools).

Training Experience- 3+ years of experience training highly technical audiences (software engineers, DevOps, ML engineers), with proven ability to lead live-coding sessions and troubleshoot complex technical issues on the fly.

Strong communication and evangelism skills; ability to mentor senior engineers and speak at internal tech forums

Software Practices -Strong understanding of modern SDLC, Git/GitHub workflows, CI/CD pipelines, MLOps, and best practices for writing clean, production-ready, and secure code.

Screening Questionnaire

• What is your experience with AI-powered developer tools like GitHub Copilot?

• How do you teach prompt engineering for code generation?

• Describe a project where you integrated Gen AI into SDLC.

• How do you ensure code quality when using AI tools?

• What security practices do you teach for AI-assisted coding?

• How do you tailor training for different technology stacks?

• What metrics do you use to measure developer productivity improvements?

• How do you handle resistance from developers toward AI tools?

Interested candidates can apply now or send their CV to

WhatsApp:

Job Types: Full-time, Permanent

Pay: ₹1,000, ₹1,800,000.00 per year

Benefits:

• Health insurance
• Provident Fund

Work Location: In person