AI Platform Engineer: RAG & LLM Ops Specialist

Tata Consultancy Services Limited; New York (NY); Presencial; USD 90.000 - 100.000; Jornada completa

Descripción de la vacante

Tata Consultancy Services Limited is seeking an Engineer in New York to advance multi-agent orchestration frameworks, RAG-based data solutions, and enterprise knowledge retrieval with strong AI governance. You will collaborate with teams to productionize LLM-powered apps, ensure observability, and drive scalable platform capabilities.

The role demands expertise in Python, Azure/OpenAI APIs, LangChain, vector databases, and modern API stacks.

Formación

• Designing and implementing multi-agent orchestration frameworks and agentic workflows.
• Building Retrieval-Augmented Generation (RAG) solutions leveraging structured and unstructured data.
• Developing enterprise knowledge retrieval platforms across SharePoint, document repositories, databases, and external knowledge sources.
• Implementing AI governance controls including source traceability, explainability, auditability, and human review workflows.
• Productionizing LLM-based applications with observability, monitoring, performance optimization, and security controls.

Conocimientos

Python

Azure OpenAI/ OpenAI APIs/ LangGraph/

Retrieval-Augmented Generation

Vector Databases

REST APIs

FastAPI / Flask

SQL / NoSQL Databases

Git, GitHub, Bitbucket

Multi-Agent Systems

Agent Orchestration Frameworks

Semantic Search

Knowledge Graphs

Educación

Bachelor's degree in Computer Science

Herramientas

Redis

Elasticsearch

Neo4j

Descripción del empleo

Tata Consultancy Services Limited is seeking an Engineer in New York to advance multi-agent orchestration frameworks, RAG-based data solutions, and enterprise knowledge retrieval with strong AI governance. You will collaborate with teams to productionize LLM-powered apps, ensure observability, and drive scalable platform capabilities.

The role demands expertise in Python, Azure/OpenAI APIs, LangChain, vector databases, and modern API stacks.