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

- Solid 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.

- Strong analytical and problem-solving abilities.

📌 Junior Developer - AI (Chennai Metropolitan Area)
🏢 Larsen u0026amp; Toubro
📍 Chennai Metropolitan Area