Junior Developer – AI
L&T EduTech — Chennai, Tamil Nadu
1–2 yrs exp · Full-time
HireSetu listing reference faf11e — confirm requirements below, then apply on the employer site.
Quick answer: A one to two year role in Chennai building Generative AI features into digital learning products: LLMs, RAG, embeddings and the APIs around them. You build on top of models here, so most of the day goes into retrieval, prompts, evaluation and Python.
From L&T EduTech's job posting
Required Experience
1 - 2 Years
Key Responsibilities
Develop and integrate AI/ML and Generative AI capabilities into digital learning and platform products.
Build AI-powered applications using LLMs, NLP, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
Develop and integrate APIs to connect AI services with existing platform applications.
Write clean, maintainable, and scalable code primarily using Python.
Assist in developing and optimizing prompts for LLM-based applications.
Support data preprocessing, model evaluation, testing, and basic machine learning workflows.
Collaborate with Product, Engineering, UI/UX, Data, and other cross-functional teams to develop technology solutions.
Build prototypes and proof-of-concepts to evaluate emerging AI technologies and use cases.
Support the deployment, debugging, monitoring, and continuous improvement of AI-powered applications.
Participate in code reviews, testing, documentation, and other software development practices.
Stay updated on developments in Generative AI, LLMs, AI Agents, and AI application development.
Required Skills
Strong programming knowledge in Python.
Good understanding of software development and programming fundamentals.
Basic understanding of Artificial Intelligence and Machine Learning concepts.
Hands-on exposure to Generative AI / LLM-based applications.
REST APIs
Exposure to AI/ML frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or LlamaIndex.
Basic knowledge of SQL and databases.
Familiarity with Git/GitHub and software development practices.
Strong analytical and problem-solving abilities.
Text from L&T EduTech's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
The work sits above the model
Nothing here asks you to train a model from scratch. RAG, embeddings, vector databases, prompt work and REST APIs are connective tissue: you take a model someone else runs, feed it the right context, and make the output usable inside a learning product. That shifts the effort into chunking, retrieval quality, prompt versions and checking whether answers actually hold up.
It sits inside a larger product and engineering organisation, with Product, UI/UX and Data teams feeding in, so expect your work to be one piece of something a learner sees. Ask which model providers they use and whether the vector store is managed or self-hosted, since that decides most of your daily routine.
Put your builds first
With one to two years behind you, lead with Python and one LLM project you can walk through end to end: what you embedded, how you retrieved it, how you judged whether an answer was right. A small RAG app on your GitHub says more than a list of framework names.
TensorFlow, PyTorch and Scikit-learn are wanted at a basic level, so don't pad the top of the CV with model-training work you can't defend. SQL sits in the same bracket: joins, and what a slow query looks like over a large table. LangChain or LlamaIndex appear as exposure, and one working app built with either covers it.
Drafted with AI from L&T EduTech's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open L&T EduTech's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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