AI Engineer & Advisor - LLMs, Agents & Enterprise AI

NTT DATA, Inc.; Butlerville (IN); On-site; USD 16,000 - 22,000; Full time

Benefits offered by this job

Remote/hybrid options

Job summary

NTT DATA, Inc. is seeking AI engineers - Advisor to join the team in Bangalore, India. You will design and develop AI and Generative AI applications using LLMs, build AI agents, and implement RAG, embeddings and vector databases to support enterprise workflows.

You will integrate LLM platforms, orchestrate single-agent and multi-agent workflows, and ensure grounding, guardrails, and secure API interactions across enterprise systems.

Qualifications

• Proficient in Python with production-grade application development experience.
• Hands-on experience with Generative AI, LLMs, RAG and agentic AI concepts.
• Experience integrating LLM platforms via APIs (OpenAI, Azure OpenAI, etc.).
• Familiarity with AI tooling like LangChain, LangGraph, Semantic Kernel, AutoGen.
• Knowledge of embeddings, vector databases, and semantic search capabilities.
• Strong understanding of REST APIs, microservices and enterprise integration patterns.

Responsibilities

• Design and implement AI and Generative AI solutions with LLMs and agents.
• Build and integrate AI workflows, tool-calling, and task execution within enterprise systems.
• Develop retrieval-augmented generation pipelines using enterprise data sources.
• Create reusable AI components, APIs, services, and connectors.
• Integrate AI capabilities into web apps and enterprise platforms.
• Develop REST APIs, microservices, and backend services for AI apps.

Skills

Python

Generative AI

LLMs

RAG

Agentic AI

APIs

REST APIs

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

Semantic Kernel

AutoGen

Pinecone

Elasticsearch/OpenSearch

Docker

Kubernetes

Azure/AWS/GCP

Job description

NTT DATA, Inc. is seeking AI engineers - Advisor to join the team in Bangalore, India. You will design and develop AI and Generative AI applications using LLMs, build AI agents, and implement RAG, embeddings and vector databases to support enterprise workflows.

You will integrate LLM platforms, orchestrate single-agent and multi-agent workflows, and ensure grounding, guardrails, and secure API interactions across enterprise systems.