Skill-Lync

LLM Application Developer Intern

InternshipIn OfficeKanpur, Uttar Pradesh3 months19K/mo6 openingsImmediate / Rolling

About this internship

Start your career in LLM-powered application development with Skill-Lync as a LLM Application Developer Intern in Kanpur. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a LLM Application Developer Intern at…

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Skills you'll use

Large Language Models (LLMs)PythonReact.js or Next.jsStreaming ResponsesOpenAI / Anthropic APIsSession & Context ManagementREST APIsError & Fallback HandlingPrompt EngineeringTesting

What you'll do

Work on wrapping language models in an interface real users can rely on every day alongside the core team
Apply Large Language Models (LLMs), Python, React.js or Next.js, Streaming Responses to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT), BCA, MCA or M.Sc (Computer Science)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Large Language Models (LLMs), Python, React.js or Next.js (or a genuine willingness to learn them)
Exposure to Streaming Responses, OpenAI / Anthropic APIs, Session & Context Management is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Kanpur, Uttar Pradesh or willing to work from there for the internship period

Perks & benefits

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Online aptitude / domain assessment
3Technical interview on fundamentals and your projects
4HR discussion — stipend, start date, expectations and offer

About Skill-Lync

Skill-Lync operates in the edtech sector and has an active presence in Kanpur. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs…

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