Generative AI Full Stack Developer

Tata Consultancy Services Limited
Plano, TX, United States
1 day ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
2 years minimum
Compensation
$110,000.0 - $125,000.0
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Application Performance Management Microsoft Azure Business Systems Cloud Engineering Databases Continuous Integration Linux DevOps Django Web Framework
+37 more
Python (Programming Language) Linux System Administration Cloud Services Standard Sql Next.js Search Technologies Secure Coding Software Deployment Software Engineering SQL Databases TypeScript Web Applications Data Logging Scripting Enterprise Software Applications Chatbots ReactJS Retrieval-Augmented Generation Flask (Web Framework) Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Backend Fastapi Vue.js AngularJS Kubernetes Information Technology Deployment Automation Front End Software Development Virtual Agents Api Design Restful APIs Docker Web Api Microservices

Job description

The ideal candidate must possess strong expertise in Generative AI, Agentic AI, and full-stack application development, with hands-on experience designing and deploying enterprise-grade AI solutions using Large Language Models (LLMs), LangChain, LangGraph, and Retrieval-Augmented Generation (RAG) frameworks. The candidate should be highly proficient in Python, SQL, Linux, REST APIs, and Model Context Protocol (MCP), with experience integrating AI agents, vector databases, enterprise systems, and cloud services. Strong full-stack development skills are required, including React/Next.js, TypeScript, backend API development, microservices, Docker, Kubernetes, and CI/CD pipelines. Experience with Azure OpenAI, Azure AI Search, cloud-native architectures, secure coding practices, and production deployment of scalable AI solutions is essential for success in this role. Roles and Responsibilities Generative AI and LLM Development

  • 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. MCP and AI Integration

  • Implement Model Context Protocol integrations to connect LLM applications with tools, data sources, and business systems.
  • Develop reusable AI orchestration patterns for APIs, databases, files, and enterprise knowledge repositories.
  • Design context management, memory, and tool-calling strategies for AI agents. Backend Development

  • Develop scalable backend services using Python, FastAPI, Flask, or Django.
  • Create RESTful APIs, microservices, and secure integration services.
  • Design, query, and optimize SQL databases for application and reporting needs.
  • Implement authentication, authorization, logging, and secure coding practices. Frontend Development

  • Build responsive web applications and dashboards using React, Next.js, Angular, Vue.js, or similar frameworks.
  • Integrate AI-powered user experiences into enterprise web applications.
  • Collaborate with product, UX, and business teams to deliver intuitive and user-friendly interfaces. Linux, DevOps, and Operations

  • Manage and troubleshoot Linux-based application environments.
  • Automate deployment and operational tasks using scripting and CI/CD pipelines.
  • Contain erize services using Docker and support deployments on Kubernetes or cloud platforms.
  • Monitor application performance, reliability, and security in production environments

Requirements

  • 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.

Benefits & conditions

Salary Range: $110,000 - $125,000 a year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

52 sec

Transitioning from software consulting to AI building

Malte Lensch Malte Lensch · World Congress 2026 Europe

52 sec

Running persistent Linux environments directly on Windows

Ben Breard Ben Breard · World Congress 2025

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

2:17 min

Mapping the maturity roadmap for scaled devops adoption

Dominik Krichbaum Dominik Krichbaum · World Congress 2026 Europe

3:36 min

Overview of generative AI and the presentation agenda

juarezjunior juarezjunior · World Congress 2024

3:55 min

Demonstrating .NET installation on Debian and Azure Linux

Silvano Coriani Silvano Coriani · Europe 2026 Virtual

Videos

See all

Related articles

See all