Junior Developer – AI

Round 1: Online aptitude & coding test → Round 2: Technical interview (AI/ML concepts, coding, system design) → Round 3: HR interview (fitment, communication, career goals)

L&T is known for its disciplined work culture, encouraging continuous learning and cross‑functional collaboration. Employees benefit from structured career progression, mentorship programs, and a balanced work‑life environment that values both personal and professional growth.

L&T’s interview process typically starts with a timed online aptitude test covering quantitative, logical and verbal sections, followed by a coding round focused on data structures and algorithms in Python. The technical interview dives deep into AI/ML fundamentals, generative AI concepts, and practical implementation questions, while the HR round assesses cultural fit and communication skills. Preparing with mock tests and revisiting core AI concepts greatly improves success chances.

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.

Larsen & Toubro (L&T) is one of India’s 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, large‑scale projects and pioneering innovations in sectors such as infrastructure, energy, defense and digital solutions. The company’s technology arm focuses on cutting‑edge 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 – AI is designed for fresh engineering graduates who are passionate about building AI‑driven products. Reporting to the AI Solutions Lead, the candidate will work within a cross‑functional 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 production‑ready services that leverage large language models (LLMs) and natural language processing (NLP) techniques. **Key Responsibilities** 1. Design, develop and integrate AI/ML models and generative AI features into L&T’s product suite. 2. Build AI‑powered applications using LLMs, implementing prompt engineering and retrieval‑augmented generation (RAG). 3. Work with embeddings and vector databases (e.g., Pinecone, Milvus) to enable semantic search and knowledge retrieval. 4. Develop and expose RESTful APIs for AI services, ensuring scalability and security. 5. Create prototypes and proof‑of‑concepts to validate new AI ideas and present them to stakeholders. 6. Support model testing, deployment pipelines, and debugging in cloud environments. 7. Collaborate with engineering and product teams to translate business requirements into technical solutions. 8. Maintain code quality using Git/GitHub, conduct code reviews and write documentation. 9. Stay updated with the latest advancements in generative AI, LLMs, and related tooling. 10. Participate in knowledge‑sharing sessions and contribute to the AI community within L&T. **Tech Stack**: Python, PyTorch/TensorFlow, Scikit‑learn, 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 large‑scale AI initiatives across L&T’s business verticals. **Why Join L&T?** L&T offers a stable, well‑structured career environment with exposure to real‑world, high‑impact projects. Freshers get mentorship from industry veterans, access to state‑of‑the‑art AI labs, and a clear roadmap for technical and managerial growth. The company’s commitment to innovation, strong brand reputation, and competitive compensation make it an attractive launchpad for a career in AI.