HIRE AI & LLM ENGINEERS · INDIA

Hire AI engineers who build for production, not demos.

Every résumé says “GenAI” now. Very few engineers have taken an LLM feature to production and kept it reliable. HiringEye separates the two with evidence-based sourcing, a role-specific AI voice interview and an expert review.

48 h
First shortlist, most roles
Top 5%
Of screened talent presented
85%
Reach your interview stage
THE ROLE

What a strong AI engineer does

They design and ship LLM-powered features end to end: retrieval, prompts and tools, agents, evaluation and guardrails, and the monitoring that keeps quality up after launch.

WHAT WE LOOK FOR

  • Retrieval-augmented generation (RAG) with real data
  • Agents and tool use with clear failure handling
  • Evaluation pipelines and regression testing for LLM output
  • Prompt, context and cost optimisation
  • Production engineering: APIs, latency, observability
  • Safety, guardrails and data privacy
WHERE WE FIND THEM

The real builders show their evals, not their buzzwords.

Shipped products

Engineers behind LLM features that real users rely on.

Open-source tooling

Contributions to RAG, agent and evaluation frameworks.

Write-ups and talks

Engineers who explain what failed and how they measured it.

Warm introductions

Referrals from teams who've shipped with them.

Read The Unsearchables →
HOW WE ASSESS

AI runs Round 1. Our people make the call.

Production scenario

An LLM feature that degrades in production: what do they check?

Evaluation design

How they'd prove a change made answers better.

Coding fundamentals

Every candidate takes a coding assessment, not just a chat.

Try a sample AI voice interview → Agency vs AI tool vs HiringEye →

Hiring AI engineers: questions

How do you tell a real AI engineer from GenAI buzzwords?

We look for evidence of production work, such as shipped LLM features, evaluation pipelines and open-source contributions, then test it with a role-specific AI voice interview, a coding assessment and an expert review.

What skills should an AI engineer have in 2026?

RAG with real data, agents and tool use, evaluation and regression testing for model output, cost and latency optimisation, and solid production engineering.

How quickly can HiringEye deliver AI engineer candidates?

For most AI engineering roles, the first ranked shortlist arrives within 48 hours of a locked brief.

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