Join to apply for the AI Engineer role at Tata Consultancy Services
Job Description:
Build, deploy, and optimize full-stack AI-powered applications using LLMs, intelligent agents, and machine learning.
Responsibilities:
Design and scale Retrieval-Augmented Generation (RAG) pipelines, vector search systems, and LLM evaluation workflows.
Create AI agents with frameworks such as LangChain, AutoGen, LlamaIndex, or LangGraph.
Ingest and process unstructured and structured data (parsing, chunking, embeddings, retrieval).
Develop intuitive user experiences powered by LLMs and AI agents for real-time workflows.
Integrate enterprise AI tools such as Claude, GPT‑4/4o, ChatGPT Enterprise, Copilot, Glean, and Shelf.
Drive document automation and multilingual natural‑language processing (summarization, translation, named‑entity recognition).
Implement observability, governance, and responsible‑AI practices in compliance with regulations.
Collaborate with IT, data, compliance, and business leaders to deliver business‑facing solutions.
Qualifications:
5+ years in software engineering or data science, with 1+ year in GenAI, LLM, or Agentic AI.
Proficiency in Python, REST APIs, React/Node.js, and cloud‑native infrastructure (Docker, CI/CD).
Hands‑on experience with AWS AI services (Bedrock, SageMaker, Textract, Translate, etc.).
Strong knowledge of LLMs, embeddings, prompt engineering, and tool use.
Proven ability to prototype, iterate, and scale AI‑enabled features.
Familiarity with compliance/regulatory needs in insurance or financial services (preferred).
AI‑first developer mindset: using AI for scaffolding, testing, and refactoring code.
Bachelor of Computer Science (required).
Salary: $85,000–$105,000 per year.
