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Scaler

AI Engineer (LLM)

Job · Full-timeIn OfficeAhmedabad, Gujarat0–2 years55K/mo4 openingsImmediate / as per notice period

About this role

Scaler is hiring a AI Engineer (LLM) in Ahmedabad. This is a full-time, permanent role with real ownership from the first quarter — you will be given work that ships, reviewed by people who know the craft, and the context to understand why it matters. About the role In this role you will be…

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Skills you'll use

PythonLLM APIsPrompt DesignRetrieval-Augmented GenerationVector DatabasesEvaluation SetsREST APIsCost & Latency ManagementGitError Analysis

What you'll do

  • Build features on top of language models and ship them
  • Design retrieval and grounding so answers can be cited
  • Build evaluation sets and measure changes against them
  • Manage token cost, latency and failure modes
  • Work with product on what the feature should refuse to do
  • Flag risks and blockers early rather than at the deadline
  • Keep your tracker and status honest, including when something has slipped

Who can apply

  • B.E./B.Tech (CSE/IT/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT) from a recognised university
  • 0–2 years of relevant experience — internships, academic projects and personal work all count, and 2026 graduates are welcome
  • Working knowledge of Python, LLM APIs, Prompt Design
  • Comfort with Python, LLM APIs and a vector store, and the ability to pick up an unfamiliar tool without waiting to be taught it
  • The judgement to know when a problem is yours to solve and when it needs escalating — and to escalate with the relevant detail attached.
  • Attention to detail, ownership and the discipline to document your work
  • Based in Ahmedabad, Gujarat or willing to relocate

Perks & benefits

Health insurance cover for you (and family cover on confirmation)Learning and certification budgetPaid leave, casual leave and public holidaysFlexible working hours around core collaboration timeModern hardware and the tool licences your role needsInternal knowledge sessions and access to senior reviewersClear, written progression criteria rather than an annual surpriseEmployee referral and performance bonus schemes

Interview & selection process

5 rounds — typical selection flow for this role:

  1. 1Resume screening and profile shortlisting by the talent acquisition team
  2. 2Team fit conversation with two or three future colleagues
  3. 3Final discussion covering role expectations, compensation and start date
  4. 4Application screening (CV and, where relevant, a portfolio or code sample)
  5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About Scaler

Scaler operates in the tech upskilling sector and runs an active team in Ahmedabad. It is a working employer with real customers and real deadlines — the role advertised here exists because there is work that needs doing, not to fill a headcount plan. Industry and what the company does Scaler…
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