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Senior AI Engineer — LLM Applications

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Onsite

Senior AI Engineer — LLM Applications

EaseHawk Technologies

Senior AI Engineer — LLM Applications

Skills

NodeTypescriptPythonAIAzure

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

29 August 2026

What they need


Gurugram, India · HybridLocationFull-TimeType4–7 YrsExperienceMoxSuite Core + Client AITeam

Build the intelligence core of MoxSuite and ship enterprise AI features that named clients actually use — not demo-ware.

What You'll Ship — First 90 Days

  • Ship an LLM-powered feature into MoxSuite production
  • Harden our bilingual EN/AR assistant patterns — Mattex-grade — into reusable modules
  • Stand up evals, guardrails and telemetry for a client-facing AI workflow

The Stack

PythonLLM APIs — Anthropic / OpenAIRAG & AgentsVector DatabasesNode / TypeScriptAWS / Azure

The Bar — What We Screen For

  • You've shipped LLM applications to real users — RAG, agents or assistants in production
  • Strong Python plus one production stack; Node/TypeScript welcome
  • You treat AI like software: evals, guardrails, observability — not vibes
  • EN/AR content sensitivity is a plus; GCC market context is a real plus

The Process Transparent by Default

Four steps. Days, not months.

~48 Hours01

Apply

Send the form with your portfolio, GitHub or LinkedIn — proof of work beats prose. Skip the cover-letter theatre; the "proudest build" question is the only essay we want. Every application is read by an engineer, not parsed by a keyword bot.

  • Acknowledged in writing within 48 hours

~30 Minutes02

Conversation

Thirty minutes with a working engineer or architect — not a recruiter reading your CV back to you. We talk about what you've actually built, the trade-offs you made, and what you'd do differently. You should be interviewing us just as hard.

  • Real technical talk, both directions

3–5 Days03

Build Round

A practical, tightly-scoped exercise drawn from the kind of work you'd actually do here — never a free-labour project. We review it together like a real code review: your reasoning matters as much as the result.

  • Your craft, visible — your time, respected

Same Week04

Decision

A clear yes or no, with reasons either way — because a good "no" still costs you nothing but earns our respect. If it's yes, the offer reflects the brief you just read, and your first-90-days plan is already written.

  • No ghosting. Ever. That's the policy.

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