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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Generative AI Full Stack Developer - **Company:** Tata Consultancy Services Limited - **Location:** Plano, TX, United States - **Experience:** Experienced - **Salary:** $110,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** 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, 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 - **Published:** September 18, 2026 - **Apply:** https://www.dice.com/job-detail/fbecb774-5e19-4424-b3f4-8ef370193bf1 ## About the Role * 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. ## 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 ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools)