Job Information
NTT America, Inc. Systems Integration Senior Analyst in Noida, India
AI Engineer (3+ Years Experience)
What you’ll do
As an AI Engineer, you will design, build, and implement AI-powered applications, intelligent agents, and LLM-driven solutions that address real business problems. You will work hands-on developing AI workflows, building conversational AI systems, implementing RAG pipelines, integrating enterprise APIs, and optimizing model outputs for performance and usability. This role focuses on engineering and development rather than operations — translating product requirements into scalable AI architectures, writing production-grade code, and delivering AI-powered features that integrate seamlessly into enterprise systems. You will collaborate closely with product, UX, backend, and frontend teams to deliver impactful AI capabilities.
What you’ll bring
3+ years of hands-on software development experience
At least 3+ years working directly with AI/ML or LLM-based applications
Strong programming background in building scalable applications
Experience designing and shipping AI-powered products or features
Ability to independently translate requirements into AI solutions
Familiarity with cloud platforms (Azure preferred)
Degree in Computer Science, Engineering, Data Science, or equivalent practical experience
Skill Requirements
Strong experience building AI agents, conversational AI, or LLM-powered applications
Hands-on experience with agentic AI frameworks such as LangChain, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or similar frameworks
Experience designing RAG pipelines and integrating enterprise knowledge sources
Experience working with foundation models such as GPT-4, Claude, Llama, or similar LLMs
Understanding of prompt engineering, embeddings, context handling, and function calling
Experience with vector databases such as Pinecone, Weaviate, FAISS, or Azure AI Search
Strong Python development skills (FastAPI, async programming, ML libraries preferred)
Experience with Typescript/JavaScript and React for AI-integrated applications
API design and integration experience (REST, GraphQL, enterprise APIs)
Familiarity with Azure AI services including Azure OpenAI and related tooling
Strong understanding of software architecture, modular design, and clean coding practices
Experience with Git, version control, and collaborative engineering workflows
Strong testing, debugging, and performance optimization skills
Typical AI Engineer Roles and Responsibilities
Build AI agents and AI-powered applications from product requirements
Develop prompts, evaluation frameworks, and optimization strategies
Implement RAG pipelines and integrate enterprise data sources
Build backend services supporting AI workflows and APIs
Test AI systems across real-world use cases and edge scenarios
Optimize model performance, response quality, and latency
Collaborate with frontend/backend teams to integrate AI features
Experiment with emerging AI frameworks, tools, and models
Maintain reusable AI components, documentation, and code quality standards