AI Engineer (LLM)

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Skills you'll use

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 Chennai, Tamil Nadu or willing to relocate (remote candidates across India may also apply)

Perks & benefits

Interview & selection process

5 rounds — typical selection flow for this role:

1. 1Resume screening and profile shortlisting by the talent acquisition team
2. 2Application screening (CV and, where relevant, a portfolio or code sample)
3. 3Short introductory call with the recruiter about your background and interest
4. 4Technical or practical round based on the day-to-day work of the role
5. 5HR discussion — compensation, notice period, joining date and offer roll-out

About KPMG Global Services

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