L&T Junior Developer – AI Job 2026 | Chennai
Larsen & Toubro (L&T) is inviting applications for the position of Junior Developer – AI under LEDT-Edutech at its Chennai Head Quarters. The role is focused on developing and integrating Artificial Intelligence, Machine Learning, and Generative AI capabilities into digital learning products and platform applications. Candidates with a Bachelor of Technology (BTech) qualification and strong Python programming knowledge can review this opportunity.
This position offers exposure to modern AI application development, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, embeddings, NLP, and vector databases. Candidates interested in building practical AI-powered applications can gain experience working with engineering, product, UI/UX, and data teams while contributing to prototypes, testing, deployment, and ongoing product improvements.
Quick Job Snapshot
| Company | Larsen & Toubro (L&T) |
| Business Unit | LEDT-Edutech |
| Job Role | Junior Developer – AI |
| Qualification | Bachelor of Technology (BTech) |
| Experience | Not specified in the supplied job description |
| Eligible Batch | 2024, 2025, 2026 as a general recent-batch reference; confirm eligibility with the employer |
| Salary | Not disclosed |
| Job Type | Not specified in the supplied details |
| Work Mode | Not specified |
| Location | Chennai Head Quarters, Tamil Nadu, India |
| Job ID | LNT/JD-A/1876868 |
| Knowledge Area | Development AI |
Job Overview
The Junior Developer – AI role involves developing software applications that use AI and Generative AI technologies. The selected candidate will primarily work with Python to build AI-powered features, connect AI services to existing applications through APIs, improve prompts for LLM-based systems, and support basic machine learning workflows.
The position also involves experimenting with emerging AI technologies, creating prototypes and proof-of-concepts, evaluating model performance, and helping deploy and monitor AI applications. Candidates should be comfortable learning new frameworks and applying software development fundamentals to practical AI use cases.
Key Responsibilities
- Develop and integrate AI/ML and Generative AI capabilities into digital learning products and platform applications.
- Build AI-powered applications using LLMs, NLP, Retrieval-Augmented Generation (RAG), embeddings, and vector databases.
- Develop and integrate APIs that 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.
- Build prototypes and proof-of-concepts to evaluate emerging AI technologies and potential use cases.
- Support deployment, debugging, monitoring, and continuous improvement of AI-powered applications.
- Participate in code reviews, software testing, technical documentation, and other development practices.
- Stay updated on Generative AI, LLMs, AI Agents, and AI application development.
Required Skills and Eligibility
- Education: Bachelor of Technology (BTech).
- Python programming: Strong programming knowledge in Python.
- Programming fundamentals: Good understanding of software development concepts and programming principles.
- AI and Machine Learning: Basic understanding of Artificial Intelligence and Machine Learning concepts.
- Generative AI: Hands-on exposure to Generative AI or LLM-based applications.
- Prompt engineering: Familiarity with writing and improving prompts for AI models.
- RAG and embeddings: Familiarity with Retrieval-Augmented Generation and embeddings used in AI applications.
- Vector databases: Basic familiarity with vector database concepts and their use in retrieving relevant information.
- NLP: Understanding of Natural Language Processing fundamentals.
- REST APIs: Familiarity with API development and integration.
- AI/ML frameworks: Exposure to PyTorch, TensorFlow, Scikit-learn, LangChain, or LlamaIndex.
- SQL and databases: Basic knowledge of SQL and database concepts.
- Version control: Familiarity with Git, GitHub, and standard software development practices.
- Problem-solving: Strong analytical thinking and problem-solving abilities.
Technical Skills to Prepare
- Python: Variables, functions, loops, data structures, object-oriented programming, exception handling, and working with libraries.
- AI and ML fundamentals: Basic machine learning concepts, model evaluation, data preprocessing, and the difference between AI, ML, and deep learning.
- LLMs and Generative AI: How large language models work, common applications, limitations, and responsible use.
- Prompt engineering: Designing clear prompts, providing context, and evaluating model responses.
- RAG: Understanding how document retrieval and language models work together to generate context-aware responses.
- Embeddings and vector databases: Understanding semantic similarity, vector search, and retrieval of relevant information.
- APIs and databases: REST API basics, JSON, SQL queries, and connecting applications to data sources.
- AI frameworks: Basic familiarity with relevant tools such as LangChain, LlamaIndex, PyTorch, TensorFlow, or Scikit-learn.
- Git and GitHub: Version control, commits, branches, and collaborative development workflows.
Salary Insights
The supplied L&T job description does not disclose the salary or compensation package for the Junior Developer – AI position. The actual offer may depend on the candidate’s skills, experience, recruitment category, and company compensation policies. Applicants should confirm the salary, benefits, employment terms, and any applicable training conditions through the official recruitment process rather than relying on unverified salary estimates.
Why This Role Is Good for Candidates
This role can be valuable for candidates who want to develop practical skills in Generative AI and AI application engineering. It combines Python programming with modern technologies such as LLMs, RAG, embeddings, NLP, and API integration. Working on prototypes, testing, deployment, and cross-functional projects can help candidates understand how AI features are developed and maintained in real applications. It may also provide a foundation for future opportunities in AI engineering, Generative AI development, machine learning applications, or software engineering.
Recommended Learning Resources
- Python Course and Notes – Strengthen Python fundamentals for AI application development.
- Data Science Complete Course – Revise data processing, machine learning fundamentals, and analytical concepts.
- SQL Course and Notes – Practise SQL queries and database fundamentals.
Interview Preparation
- Technical Interview Questions – Review programming fundamentals and prepare for technical discussions.
How to Apply for L&T
- Open the official L&T careers application link provided below.
- Search for or verify the Junior Developer – AI position using job ID LNT/JD-A/1876868.
- Review the BTech qualification and required technical skills before applying.
- Prepare an updated resume highlighting Python, AI/ML fundamentals, Generative AI or LLM projects, APIs, SQL, and Git/GitHub.
- If you have completed projects involving prompt engineering, RAG, embeddings, vector databases, or AI frameworks, describe your contribution and the technologies used.
- Complete the application form and submit the requested information through the official recruitment portal.
- Monitor your email and application account for any recruitment updates or further instructions.
Important: The supplied URL is an L&T careers portal link. Confirm that the role is active and that the job ID matches before submitting your application. The supplied details do not mention an application deadline, salary, or required years of experience.
Related Job Opportunities
Frequently Asked Questions
1. What is the qualification required for the L&T Junior Developer – AI job?
The supplied job details list a Bachelor of Technology (BTech) as the minimum qualification. Candidates should also have strong Python programming knowledge, basic AI/ML understanding, and hands-on exposure to Generative AI or LLM-based applications.
2. What is the salary for the L&T Junior Developer – AI position?
The salary has not been disclosed in the supplied job description. Candidates should check the official application portal or confirm compensation with the recruitment team.
3. Where is the L&T Junior Developer – AI job located, and how much experience is required?
The listed location is Chennai Head Quarters, Tamil Nadu, India. The supplied description does not specify the required years of experience or work mode, so candidates should verify these details on the official recruitment portal.
Interested in starting or growing a career in AI development? Strengthen your Python skills, practise building small AI-powered applications, and gain familiarity with LLMs, prompt engineering, RAG, and REST APIs. Review the official eligibility criteria and submit your application through the L&T careers portal.
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