Larsen & Toubro (L&T) is hiring for a Junior Developer β AI position in Chennai. This opportunity is aimed at professionals with 1β2 years of experience who have strong Python programming skills and hands-on exposure to Generative AI, LLM applications, RAG, embeddings and AI application development.
The role is part of LEDT-Edutech at the Chennai Headquarters and offers an opportunity to work on AI/ML capabilities for digital learning and platform products. Candidates with a B.Tech degree and practical AI projects can find this role particularly relevant.
π Job Details
- π’ Company: Larsen & Toubro
- πΌ Role: Junior Developer β AI
- π Job ID: LNT/JD-A/1876868
- π’ Business Unit: LEDT-Edutech
- π Location: Chennai Head Qrs.
- π¨βπ» Experience: 1β2 Years
- π Qualification: Bachelor of Technology (B.Tech)
- π» Primary Skill: Python
- π€ Focus Areas: AI/ML, Generative AI, LLMs, RAG, NLP
- π Posted: 1 October 2026
π’ About Larsen & Toubro
Larsen & Toubro is one of India’s major engineering, technology and infrastructure organizations, with operations spanning engineering and construction, technology services, manufacturing and other businesses.
For an AI professional early in their career, working on AI-powered products can provide exposure to the complete application lifecycleβfrom experimenting with an LLM or AI technique to integrating it into an application, testing its output, deploying it and continuously improving it.
π― Why This Role Is Good for Experienced AI Developers?
The biggest advantage of this role is its focus on applied AI rather than only theoretical machine learning. Candidates will work with technologies such as LLMs, RAG, embeddings and vector databases, which are central components of modern Generative AI applications.
You will also work with REST APIs, Python, databases and software development practices. This combination can help an early-career engineer develop into an AI Application Developer, GenAI Engineer, ML Engineer or AI Solutions Engineer.
π» Key Responsibilities
- πΉ Developing AI/ML and Generative AI capabilities for digital learning products
- πΉ Building LLM and NLP-based applications
- πΉ Implementing RAG pipelines using embeddings and vector databases
- πΉ Developing and integrating REST APIs
- πΉ Writing clean and scalable Python code
- πΉ Creating and optimizing prompts for LLM applications
- πΉ Supporting data preprocessing and model evaluation
- πΉ Testing AI-powered applications and ML workflows
- πΉ Building AI prototypes and proof-of-concepts
- πΉ Supporting deployment, debugging and monitoring
- πΉ Participating in code reviews and documentation
- πΉ Staying updated with GenAI, LLMs and AI Agents
π§ Skills Required
Candidates should focus on the following skills:
- πΉ Strong Python programming
- πΉ Programming fundamentals and software development
- πΉ Basic AI and Machine Learning concepts
- πΉ Hands-on Generative AI/LLM experience
- πΉ Prompt Engineering
- πΉ Retrieval-Augmented Generation (RAG)
- πΉ Embeddings and vector databases
- πΉ NLP fundamentals
- πΉ REST API development/integration
- πΉ PyTorch, TensorFlow or Scikit-learn exposure
- πΉ LangChain or LlamaIndex
- πΉ SQL and database fundamentals
- πΉ Git/GitHub
- πΉ Analytical and problem-solving skills
π° Expected Salary Range
The official job description does not specify the salary package. For a 1β2 year AI/GenAI developer in Chennai, an indicative market range could be approximately βΉ5 LPAββΉ9 LPA, depending on technical skills, relevant experience, AI project exposure and the final level offered by L&T.
π§ͺ Expected Interview Rounds at L&T
- Round 1 β Resume/HR Screening: Education, experience, location, current role and notice period.
- Round 2 β Technical Assessment: Python, programming fundamentals, SQL and problem-solving.
- Round 3 β AI/GenAI Technical Interview: LLMs, RAG, embeddings, vector databases, NLP and prompt engineering.
- Round 4 β Project/Managerial Discussion: Deep dive into AI projects, architecture decisions, debugging and collaboration.
- Round 5 β HR/Final Discussion: Compensation, joining details and other formalities.
π Preparation Tips
For this position, don’t prepare only traditional ML algorithms. RAG and LLM application development should be your priority.
Build or revise one complete RAG project and be able to explain the entire pipeline: document ingestion β chunking β embeddings β vector database β retrieval β prompt construction β LLM response β evaluation.
Prepare questions around why you selected a particular embedding model or vector database, how you handle irrelevant retrievals, how chunk size affects results and how you reduce hallucinations.
π Resume Tips
Your resume should make your GenAI experience immediately visible. Put Python, LLMs, RAG, embeddings, vector databases and relevant frameworks near the top if you have hands-on experience.
Avoid writing only βWorked on Generative AI.β Instead, describe the actual projectβfor example, a document-question-answering system, chatbot, educational assistant or knowledge-retrieval applicationβand explain the technologies used.
π© How to Apply?
π Application Link: Click Here
π€ Referral Tip
Want to improve your chances of getting noticed?
Connect with someone at Larsen & Toubro and request a referralβit can significantly enhance your visibility in the hiring process.
Interested candidates should apply through the Larsen & Toubro recruitment process for Junior Developer β AI (Job ID: LNT/JD-A/1876868). The position is based at the Chennai Head Quarters, and the listed application end date is 30 March 2027.
π₯ If you have 1β2 years of experience, strong Python skills and practical exposure to LLMs, RAG, embeddings and Generative AI applications, this L&T opportunity can be an excellent step toward building a career in applied AI.
