Generative AI Full-Stack Engineer: LLMs & Agents

Tata Consultancy Services Limited; Plano (TX); On-site; USD 110,000 - 125,000; Full time

Benefits offered by this job

Discretionary annual incentive

Comprehensive medical coverage

Parental leaves

401K plan

Certification & training reimbursement

Job summary

Tata Consultancy Services is seeking a seasoned GenAI/LLM engineer to design and deploy enterprise-grade AI solutions in a full-stack environment. The role emphasizes building agentic workflows, RAG architectures, and secure, scalable services using Python, React/TypeScript, and cloud-native patterns.

Candidates should have strong experience with LangChain, LangGraph, and MCP integrations, plus hands-on deployment of AI copilots and dashboards in production.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 5+ years of software development experience with strong Python and SQL skills.
• 2+ years of hands-on experience building GenAI, LLM, or AI-enabled applications.
• Experience with LangChain, LangGraph, RAG pipelines, and LLM integration patterns.
• Strong knowledge of API development, backend services, frontend application development, and Linux environments.
• Ability to design secure, scalable, and production-ready enterprise applications.

Responsibilities

• Design and develop GenAI applications using enterprise LLM platforms such as Azure OpenAI and related model services.
• Build agentic AI workflows using LangGraph and LangChain.
• Develop and optimize Retrieval-Augmented Generation architectures for business and technical use cases.
• Integrate vector databases and semantic search capabilities to improve knowledge retrieval accuracy.
• Build AI copilots, chatbots, virtual assistants, and workflow automation solutions.
• Apply prompt engineering, evaluation, and tuning techniques to improve AI response quality.

Skills

GenAI & LLM development

Agentic AI workflows

Secure coding

API design

Education

Bachelor's or Master's degree in Computer Science/IT/Engineering

Tools

Python

SQL

Linux

REST APIs

LangChain

LangGraph

RAG frameworks

Azure OpenAI

Azure AI Search

Docker

Kubernetes

CI/CD

MCP

Job description

Tata Consultancy Services is seeking a seasoned GenAI/LLM engineer to design and deploy enterprise-grade AI solutions in a full-stack environment. The role emphasizes building agentic workflows, RAG architectures, and secure, scalable services using Python, React/TypeScript, and cloud-native patterns.

Candidates should have strong experience with LangChain, LangGraph, and MCP integrations, plus hands-on deployment of AI copilots and dashboards in production.