Role: AI Engineering Trainer

Level: Senior Trainer

Experience: 3+ years

About Iamneo Founded in 2016 and now part of the NIIT family, iamneo is a rapidly growing, profitable B2B EdTech SaaS company revolutionizing tech talent upskilling, evaluation, and deployment. Our AI-powered platforms enable enterprises and educational institutions to build future-ready talent at scale.

We partner with leading corporates like Wipro, HCLTech, LTIMindtree, Virtusa, Tech Mahindra, and Hexaware, as well as 150+ top educational institutions including BITS Pilani, VIT, SRM, LPU, and Manipal.

Role Overview iamneo is looking for an AI Engineering Trainer — Phase 2 (The Auditor) to deliver the advanced AI auditing and debugging phase of its AI Track. This role is ideal for someone with strong experience in QA, security testing, DevSecOps, incident response, and code auditing for AI-generated systems.

Key Requirements

- 5+ years in QA engineering, security testing, DevSecOps, or senior debugging roles
- Hands-on experience auditing AI-generated codebases for bugs, security flaws, and logic defects
- Experience handling production incidents including live diagnosis, stakeholder communication, and postmortem creation
- Strong practical exposure to OWASP Top 10 and real-world web application security testing
- 3+ years delivering security, debugging, or DevSecOps training
- Comfortable running incident simulations, adversarial labs, and hands-on debugging exercises

Required Technical Skills AI Code Quality & Debugging Understanding of common issues in AI-generated code such as logic errors, incorrect API usage,



and incomplete implementations Strong debugging approach using structured problem-solving (Observe → Hypothesise → Experiment → Conclude)

Ability to analyze and work with unfamiliar codebases and perform root cause analysis

Security & Code Auditing Practical understanding of OWASP Top 10 (SQL injection, XSS, authentication issues, etc.)

Experience using security tools such as OWASP ZAP, Snyk, Semgrep, or similar

Knowledge of secure coding practices and vulnerability identification

Debugging & Observability Experience with logging, monitoring, and debugging tools (e.g., structured logs, ELK stack, or similar)

Ability to troubleshoot performance issues, memory leaks, and system bottlenecks

Basic understanding of database performance debugging

Development & Tools Working knowledge of Python and web applications

Familiarity with APIs and up-to-date development workflows

Exposure to AI-assisted coding tools such as Cursor or GitHub Copilot

Core Responsibilities

- Deliver training sessions on debugging, security, and code quality in AI-assisted development
- Teach structured debugging methodologies and best practices
- Conduct incident response simulations and hands-on exercises
- Guide learners through real-world scenarios involving faulty or insecure codebases
- Design and maintain lab environments for debugging and security practice
- Evaluate learner performance and provide actionable feedback
- Support continuous improvement of curriculum and training content

Preferred Profile

- Strong analytical and problem-solving mindset
- Practical experience in debugging and application security
- Ability to simplify complex technical concepts for learners
- Comfortable in hands-on, fast-paced training environment

📌 AI Engineering Trainer (India)
🏢 iamneo - An NIIT Venture
📍 India