Junior Developer β AI
Larsentoubrocareers
About the role
Larsen & Toubro (L&T) is one of Indiaβs largest multinational conglomerates, operating across engineering, construction, manufacturing, technology and financial services. With a legacy of over 80 years, L&T has built a reputation for delivering complex, largeβscale projects and pioneering innovations in sectors such as infrastructure, energy, defense and digital solutions. The companyβs technology arm focuses on cuttingβedge research in artificial intelligence, Internet of Things, and cloud platforms, aiming to embed intelligence into traditional engineering workflows and create new product offerings.
The role of Junior Developer β AI is designed for fresh engineering graduates who are passionate about building AIβdriven products. Reporting to the AI Solutions Lead, the candidate will work within a crossβfunctional team that includes data scientists, product managers and senior engineers. The primary focus will be on developing and integrating generative AI capabilities, building prototypes, and delivering productionβready services that leverage large language models (LLMs) and natural language processing (NLP) techniques.
Key Responsibilities
- Design, develop and integrate AI/ML models and generative AI features into L&Tβs product suite.
- Build AIβpowered applications using LLMs, implementing prompt engineering and retrievalβaugmented generation (RAG).
- Work with embeddings and vector databases (e.g., Pinecone, Milvus) to enable semantic search and knowledge retrieval.
- Develop and expose RESTful APIs for AI services, ensuring scalability and security.
- Create prototypes and proofβofβconcepts to validate new AI ideas and present them to stakeholders.
- Support model testing, deployment pipelines, and debugging in cloud environments.
- Collaborate with engineering and product teams to translate business requirements into technical solutions.
- Maintain code quality using Git/GitHub, conduct code reviews and write documentation.
- Stay updated with the latest advancements in generative AI, LLMs, and related tooling.
- Participate in knowledgeβsharing sessions and contribute to the AI community within L&T.
Tech Stack: Python, PyTorch/TensorFlow, Scikitβlearn, LangChain, LlamaIndex, SQL, Git, REST APIs, vector databases, cloud platforms (AWS/Azure).
Growth Path: Starting as a Junior AI Developer, high performers can progress to AI Engineer, Senior AI Engineer, and eventually AI Solution Architect or Product Lead, with opportunities to lead largeβscale AI initiatives across L&Tβs business verticals.
Why Join L&T? L&T offers a stable, wellβstructured career environment with exposure to realβworld, highβimpact projects. Freshers get mentorship from industry veterans, access to stateβofβtheβart AI labs, and a clear roadmap for technical and managerial growth. The companyβs commitment to innovation, strong brand reputation, and competitive compensation make it an attractive launchpad for a career in AI.
Eligibility & process
Who can apply
B.Tech degree in Computer Science, Information Technology, Electronics & Communication, Electrical Engineering or related streams with a minimum of 60% aggregate (or CGPA 6.0/10). Candidates from the 2025, 2026 or 2027 graduating batches are eligible. No active backlogs at the time of joining. Freshers and candidates with up to 2 years of relevant experience are welcome.
Skills & stack
Selection process
- Round 1: Online aptitude & coding test
- Round 2: Technical interview (AI/ML concepts, coding, system design)
- Round 3: HR interview (fitment, communication, career goals)
Prep kit
19 resourcesStudy material 4
Company-specific guides 4
Likely coding questions 4
Round-wise strategy 4
Technical questions 4
What is the bias-variance tradeoff and how do you prevent overfitting? Answer
Explain the difference between Precision, Recall, and F1-Score. Answer
How does Gradient Descent work and what is the role of Learning Rate? Answer
What is the difference between Supervised, Unsupervised, and Self-Supervised learning? Answer
Behavioural & HR questions 3
Highlight Larsentoubrocareers's market reputation, recent tech innovations, and how your skills in Python directly solve their team's objectives.
Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.