AI Engineer / GenAI Developer
Apply now »Date: Jan 15, 2026
Location: Chennai, TN, IN
Company: NTT DATA Services
Req ID: 351255
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a AI Engineer / GenAI Developer to join our team in Chennai, Tamil Nādu (IN-TN), India (IN).
Job Title
Intermediate / Senior AI Engineer – Python, RAG, Agentic AI, ADK, MCP, GCP, Vertex AI, IBM Watsonx
Job Summary
We are seeking a highly skilled AI Engineer experience in Software Development, Data Science, or Machine Learning to design, develop, and deploy cutting-edge AI systems leveraging Large Language Models (LLMs), Chatbots, Retrieval-Augmented Generation (RAG), and agentic AI architectures.
This role involves hands-on development with LLMs, embeddings, RAG pipelines, and multi-agent systems using modern frameworks like LangChain, LangGraph, and LlamaIndex. The ideal candidate has experience with Vertex AI on GCP and IBM WatsonX, fine-tuning, and Agent Development Kits (ADKs), and is excited about building scalable, production-grade AI platforms.
Responsibilities
- Agentic AI Development:
Design, build, and deploy agentic AI systems using frameworks such as LangChain, LangGraph, and related libraries.
Develop and deploy multi-agent systems capable of autonomous decision-making, reasoning, planning, and collaboration.
- RAG Pipelines:
Implement and optimize retrieval-augmented generation (RAG) systems, ensuring agents can access and incorporate external knowledge sources for grounded, accurate responses.
- LLM Engineering:
Fine-tune and prompt-engineer LLMs for task-specific reasoning, planning, and dynamic adaptation.
Work with LLM/SLM APIs, embeddings, and advanced generative AI techniques.
- Enterprise AI Platform:
Lead the development of enterprise-grade AI platforms integrating LLMs, RAG, embeddings, and agentic AI protocols.
Implement and standardize Model Context Protocol (MCP) for consistent context management across models and agents.
- MLOps & Observability:
Establish and enforce best practices for MLOps, monitoring, and observability, ensuring scalable and maintainable AI solutions.
- Applied AI Prototyping:
Rapidly prototype, experiment, and iterate to improve AI agent capabilities.
- Collaboration & Research:
Participate in the full research cycle: literature review, data exploration, experimentation, and presentation of findings.
Collaborate effectively with other engineers, researchers, and data scientists.
Contribute to the documentation and standardization of technical code and practices.
Required Education
Bachelor’s degree in Computer Science, Engineering, or a related quantitative field. Master’s or Ph.D. is a strong plus.
Required Experience
- 5+ years overall experience in software development, data science, or machine learning.
- 1+ year of hands-on experience developing AI applications with LLMs and systems such as retrieval-based methods, fine-tuning, or agent-based architectures.
- 1+ year of experience with frameworks like LangChain, LlamaIndex, OpenAI, or similar tools.
Required Technical Skills
- Strong programming skills in Python and basics in SQL.
- Expertise with LLM/SLM APIs, embeddings, and RAG systems.
- Experience deploying on Google Cloud Platform (GCP) with Vertex AI, and IBM WatsonX.
- Familiarity with agentic AI protocols and exposure to Agent Development Kits (ADKs).
Preferred Qualifications
- Experience implementing Model Context Protocol (MCP) for agent coordination.
- Prior exposure to LangGraph, AutoGen, or related orchestration frameworks.
- Knowledge of MLOps best practices (CI/CD for ML, observability, monitoring, scaling).
- Familiarity with responsible AI principles (safety, fairness, interpretability).
- Experience in enterprise-scale deployments of AI-driven platforms.
- Contributions to open-source AI/ML projects are a plus.
About NTT DATA
NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.
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