Senior AI Engineer
Req ID: 387634
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 Senior AI Engineer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Key Responsibilities
Agentic AI Design and develop AI assistants and agentic workflow solutions.
Knowledge Systems Build and optimize RAG (Retrieval-Augmented Generation) applications.
Data & Retrieval Develop knowledge ingestion, extraction, and retrieval pipelines from documents, APIs, databases, and web sources.
Search & Context Implement chunking strategies, semantic search, vector search, and graph-based retrieval.
Platform Engineering Develop scalable AI services, APIs, and automation workflows.
Automation Build browser automation solutions using Playwright and Puppeteer.
Operations Deploy, monitor, and optimize containerized AI applications.
Quality & Eval Contribute to AI testing, evaluation, benchmarking, and experimentation practices.
Eng. Excellence Apply software engineering best practices: testing, CI/CD, observability, and operational excellence.
Core Skills Good To Have
Programming Strong Python development skills.
AI Engineering Experience building AI, ML, or data-driven solutions.
Generative AI Experience with LLM-based applications and Generative AI solutions.
RAG & Retrieval Hands-on experience with RAG, embeddings, vector databases, semantic
search, and chunking strategies.
Data Processing Understanding of web scraping and unstructured data processing.
Soft. Engineering Experience with Git, testing frameworks, and CI/CD pipelines.
Cloud Good understanding of Azure and cloud-native architectures.
MLOps / LLMOps Familiarity with deployment, monitoring, and operational workflows for AI
solutions.
AI Evaluation Experience with AI testing, model evaluation, benchmarking, and performance
optimization.
Browser Auto. Experience with Playwright or Puppeteer.
Soft Skills Strong analytical and problem-solving skills.
Agentic AI Workflow orchestration and agentic design
patterns.
Adv. Retrieval Hybrid search, retrieval optimization, and
advanced RAG architectures.
Knowledge
Graphs
Graph-based retrieval and knowledge graph
solutions.
Fine-Tuning LoRA, QLoRA, Adapter-based Tuning, and
PEFT techniques.
Model Serving Serving and deploying models using vLLM and
SGLang.
Observability Monitoring, tracing, and AI observability
frameworks.
AI Strategy Understanding when to use prompting, RAG,
knowledge graphs, or fine-tuning.
We know this is an extensive list — if you meet most of these and are excited about the rest, we want to hear
from you.
TECHNOLOGY STACK
AI & Agent
Frameworks
LangGraph, Haystack, OpenAI SDK Observability & Eval Langfuse
Knowledge &
Retrieval
LanceDB, FalkorDB Automation Playwright, Puppeteer
Model Serving & Inf. vLLM, SGLang Platform & Infra Azure Container Apps, Azure Container Registry (ACR),
Docker
Development Python, Ray
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, @nttdatafed.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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