Responsibilities:

- Design and develop AI-driven applications using LLMs (e.g., OpenAI, Anthropic, Hugging Face, etc.).

- Build and deploy Python- and TypeScript-based services and APIs that integrate with AI models.

- Optimize model performance, prompt engineering, and cost efficiency.

- Develop scalable and secure cloud-native applications using AWS (Lambda, API Gateway, SageMaker, ECS, DynamoDB, etc.).

- Implement robust observability, logging, and monitoring for AI-driven systems.

- Collaborate closely with product managers, ML engineers, and designers to deliver AI-powered features.

- Maintain clean, testable code and ensure high code quality through automated testing and code reviews.

- Stay up to date with advances in AI, foundation models, and best practices in prompt engineering and LLM fine-tuning.

Required Qualifications:





- 6+ years of experience in software engineering, with strong Python and TypeScript skills.

- Proven experience integrating and working with LLMs or generative AI frameworks.

- Deep understanding of RESTful and event-driven architecture.

- Hands-on experience with AWS services, especially related to serverless, ML, or AI workflows.

- Experience with prompt engineering, embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS), and retrieval-augmented generation (RAG).

- Robust grasp of software engineering principles, DevOps, and CI/CD best practices.

- Excellent problem-solving, communication, and team collaboration skills.

📌 AI/ML Engineer with Python (Bengaluru)
🏢 Tata Consultancy Services
📍 Bengaluru