Description:

NTT DATA Services is hiring a Full Stack - AI Developer to join its Bangalore team. This role is tailored for developers passionate about AI/ML and Generative AI who are eager to build advanced intelligent systems that leverage large language models, RAG architectures, and agent-based AI frameworks. Candidates will work with cross-functional teams to design, develop, and implement full-stack AI-driven applications that solve real-world business challenges.

Role Purpose:

The Full Stack - AI Developer will be responsible for delivering scalable, high-performance AI solutions. Beyond back-end and AI model integration, the role requires ensuring efficient software development pipelines, robust containerized deployments, and seamless collaboration across engineering and business functions.

Key Responsibilities:

• Design and build AI-powered intelligent systems using LLMs (such as GPT, LLaMA, Claude).
• Develop and integrate GenAI solutions using LangGraph, agentic frameworks, RAG pipelines, and prompt engineering.
• Drive end-to-end SDLC including requirements gathering, development, testing, deployment, and ongoing support.
• Write and maintain clean, efficient, and highly scalable Python code.
• Work with APIs, data processing pipelines, automation, and integrations for AI-enabled solutions.
• Manage CI/CD pipelines, version control, and deployment automation.
• Containerize applications using Docker, and orchestrate using Kubernetes.
• Collaborate across teams to define architecture, requirements, and delivery milestones.
• Debug and optimize solutions to ensure reliability, scalability, and security.

Key Technical Skills:

Generative AI, Large Language Models (GPT, LLaMA, Claude), LangGraph, Retrieval-Augmented Generation (RAG), Prompt engineering, Python, API integration, Automation scripting, CI/CD, Git, Docker, Kubernetes, SDLC, Software architecture, Debugging

Requirements:

• Bachelor’s in Computer Science, Engineering, AI, or related field (Master’s preferred).
• 3–8 years of professional experience in software development.
• Proven hands-on expertise in AI/ML and Generative AI technologies.
• Proficiency in Python with strong experience in data processing and automation.
• Solid understanding of SDLC, Agile, and modern DevOps practices.
• Experience in containerization tools (Docker, Kubernetes) for deployment.
• Strong problem-solving and debugging skills.
• Excellent communication and collaboration abilities.