Resume & ATS · India
AI Engineer resume that gets past ATS
Indian hiring for AI Engineer roles (GenAI) is competitive across AI product startups. Typical packages for solid profiles land around 10–30 LPA, with wide variance by city and company tier. Panels care about reliable GenAI systems.
Skills language to mirror
When the job description names these — and you have them — use the same wording. Indian ATS and recruiter searches are literal.
LLMs · RAG · Python · evals · prompt systems
ATS tips for AI Engineer
- Mirror the JD's exact stack terms when you truly have them — especially LLMs, RAG, Python.
- Eval harnesses, cost/token, hallucination controls
- Use standard headings (Summary, Experience, Projects, Skills, Education). Avoid tables and text boxes that break Indian ATS parsers.
- Put the target title (AI Engineer) near the top if it matches the role you want next.
Common mistakes
- ChatGPT wrapper projects with no eval harness or cost-per-token awareness.
- RAG listed without failure mode (hallucination, stale docs) you fixed.
- Prompt-engineering résumé with no Python deployment or API integration proof.
- Ignoring data privacy and PII handling — Indian enterprise GenAI JDs mention this.
Interview angle (preview)
Panels often probe: reliable GenAI systems. Practise: RAG failure modes; eval vs vibe.
Full AI Engineer interview guide →
Related reading: How Indian IT companies screen with ATS · ATS Scanner
FAQ
What should an AI Engineer resume emphasise in India?
Eval harnesses, cost/token control, and hallucination mitigations for GenAI systems you built.
What do AI Engineer panels in India usually probe?
RAG failure modes, eval vs vibe checks, and how you kept latency and cost acceptable at scale.
How does Reunitor help AI Engineer candidates?
Upload your résumé for an ATS audit, match verified roles, tailor applications to each JD, and practise interviews with STAR feedback.