
AI Engineer (LLM)
About this role
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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 Kanpur, Uttar Pradesh or willing to relocate
Perks & benefits
Interview & selection process
3 rounds — typical selection flow for this role:
- 1Resume screening and profile shortlisting by the talent acquisition team
- 2Discussion with the hiring manager on how you approach problems and work with others
- 3HR discussion — compensation, notice period, joining date and offer roll-out
About Zensar Technologies
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