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.
• Familiarity with:
• Prompt Engineering
• RAG
• Embeddings
• Vector Databases
• NLP
• 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.
• Solid analytical and problem-solving abilities.

📌 Junior Developer (Chennai)
🏢 Larsen and Toubro
📍 Chennai