GenAI Engineer Intern (Part time, Remote)

Quantum Strides LLC

IndiaremotePosted 13 days ago

Skill Required

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Key highlights

REMOTE/ WFH Location
Internship (Contract) Job Type
Mentorship and hands-on exposure to production-grade GenAI on AWS
Requires final year student or recent grad in CS, Data Science, or related field

Role overview

Quantum Strides is looking for a final-year student or recent graduate to join as a GenAI Engineer Intern, offering hands-on experience with modern, cloud-based AI from day one. The role emphasizes problem-solving and critical thinking over strict adherence to specifications, requiring candidates to take fuzzy problems, reason toward approaches, and build prototypes that contribute to real products rather than throwaway demos. The company operates at the forefront of AI and Integrated Workplace Management Solutions (IWMS), delivering transformative solutions to a portfolio of Fortune 100 companies as a premier partner for technology leaders like IBM and AWS.

Responsibilities

Help design, build, and ship GenAI features — RAG pipelines, LLM-powered applications, and conversational interfaces — across our products.
Take ambiguous problems, break them into approaches, prototype quickly, and iterate based on what you learn.
Work with LLM APIs and AWS services (Bedrock, Lambda) to wire up prototypes, pipelines, and integrations.
Build and consume APIs to connect models to data, databases, and backend systems.
Test, evaluate, and debug AI behavior — prompts, retrieval quality, edge cases — to make sure things actually work.
Document what you build and share what you learn with the team.
Keep up with a fast-moving field and bring ideas back to us.

Requirements

Currently in your final year, or a recent grad, in Computer Science, Data Science, or a related technical field — or equivalent ability you can demonstrate.
Strong problem-solving and critical thinking. You can take a vague problem and reason toward a solution instead of waiting for exact instructions.
Working knowledge of Python — you can read and write basic code. You don't need to be an expert.
Exposure to AI / ML / NLP concepts through coursework or projects.
A basic understanding of the cloud, specifically AWS — you know the core building blocks and have spent at least a little time in the console.
Real curiosity and the habit of teaching yourself new things.
Clear communication — you can explain your reasoning and walk someone through your thinking.

Nice to have

Hands-on experience with AWS (Lambda, Bedrock, or similar) through projects, coursework, or internships.
Anything you've built with LLM APIs (Anthropic, OpenAI, Bedrock), RAG, vector databases, or prompt engineering.
Familiarity with building and consuming APIs.
Basic front-end (HTML, CSS, JavaScript) for wiring up simple interfaces.
Side projects, hackathons, or anything you've built on your own initiative — we love seeing what you make when no one's assigning it.

Benefits

Real ownership on the products we build and ship.
Mentorship and hands-on exposure to production-grade GenAI on AWS.
A fast-moving AI toolkit to build with — browser-use agents, voice agents, browser automation (Playwright), and graph & vector databases.
A front-row seat on our AI team, where your ideas count.