Hawk Sense Business Solutions Pvt Ltd (formerly known as Hawk Sense Security Systems Pvt Ltd)
Website:
hawk-sense.com
Job details:
AI Engineering Trainer — Phase 1 (The Builder)
Role: AI Engineering Trainer — Phase 1 (The Builder)
Level: Senior Trainer Experience: 5+ years Openings: 1 About the Role iamneo is hiring an AI Engineering Trainer — Phase 1 (The Builder) to deliver the first phase of its AI Track.
This role is for an experienced software engineer who has actively used AI-assisted development tools in real production workflows and can teach learners how to build, validate, and ship software using an AI-first engineering pipeline. Key Requirements
● 5+ years in software engineering
● Strong hands-on experience in AI-augmented development workflows, LLM tooling, or agentic coding pipelines
● Must have shipped production applications using AI coding assistants such as Claude Code, Cursor, GitHub Copilot, or equivalent
● Strong full-stack background across backend APIs, frontend development, and cloud deployment ● 3+ years delivering technical software engineering or AI/ML training
● Experience coaching developers on real AI workflow integration, not only demos
● Comfortable running hands-on build labs where learners create and present working software quickly Required Technical Skills
● Claude Code: agentic coding, multi-step task orchestration, tool-use prompting, context window management, CLAUDE.md configuration
● Cursor IDE: AI-supervised development, multi-file refactoring, chat-in-editor workflows, rules-for-AI configuration, tab completion discipline
● CodeRabbit: PR review automation, custom review rules, .coderabbit.yaml config, hallucination flagging, merge gate setup
● FastAPI + SQLAlchemy + PostgreSQL: REST API design, async endpoints, Alembic migrations, connection pooling
● React + TanStack Query: component architecture, server state management, optimistic updates, error boundaries
● Docker + GitHub Actions: multi-stage Dockerfiles, 5-stage CI/CD pipelines, Render/Railway/Fly.io deployment
● Prompt Engineering: 10-component anatomy, few-shot prompting, chain-of-thought, role-based prompting, negative space prompting
● Hallucination Detection: factual, code, API, and logic hallucinations; detection heuristics; structured Missed Issues Report
● 70% Rule pedagogy: AI generates first 70%, human owns and is accountable for 100%
● AI Tool Usage Charter: personal charters and team-level AI governance policies Core Responsibilities
● Design and deliver AI Engineering Phase 1 (The Builder) across Days 1–15 of the AI Track
● Teach the full AI Engineering Pipeline: Prompt (Claude Code) → Generate (Cursor) → Audit (CodeRabbit) → Ship (Human Accountable)
● Facilitate Mini-Project 1, where each learner builds and deploys a solo application in one day
● Oversee Team Project 1, including stakeholder brief, backlog planning, sprint execution, user testing, and final presentations
● Model and enforce the 70% Rule throughout the program
● Build and maintain labs, hallucination detection exercises, daily logs, report templates, and rubrics ● Calibrate assessments including projects, reflections, daily logs, and hallucination reporting
● Keep labs and content updated in line with changes in Claude, Cursor, and CodeRabbit Preferred Profile
● Strong builder mindset with real AI-assisted engineering experience
● Able to teach practical decision-making, not just tool usage
● Passionate about preparing learners for AI-first software delivery Open Roles:
● AI Engineering Trainer (2+ yrs) - LLM, prompt engineering and RAG Key Expectations:
● Notice Period: Max 45 days
● Minimum 1+ year training experience (mandatory)
● Open to travel across India (client delivery)
● Initial onboarding in Coimbatore (1 week)
● Location : Remote
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