Tcs is hiring For GenAI Developer

7 - 12 years

7 - 17 Lacs

Posted:2 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


About the Role:

Were looking for a Senior AI-Powered Engineer with a strong background in Python, TypeScript, AWS, and hands-on experience working with Large Language Models (LLMs). In this role, youll build intelligent, production-grade applications that integrate LLMs and AI services to solve real-world business problems. You will work across the stack, from model integration and orchestration to backend systems and cloud deployment.

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:

  • 7+ 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).
  • Strong grasp of software engineering principles, DevOps, and CI/CD best practices.
  • Excellent problem-solving, communication, and team collaboration skills.

Preferred Qualifications:

  • Experience with model fine-tuning or custom LLM development.
  • Familiarity with tools like LangChain, LlamaIndex, or AWS Bedrock.
  • Experience deploying AI/ML pipelines with tools like SageMaker or MLflow.
  • Knowledge of front-end frameworks (e.g., React) is a plus.
  • Prior work in AI-driven product development, such as copilots, chatbots, recommendation engines, or workflow automation.

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Tata Consultancy Services

Information Technology and Consulting

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