AI Senior Engineer

TATA Consulting Services • Oakland, CA

28d • $70,000 - $145,000

About The Position

Strong experience with Large Language Models (LLMs) and agentic workflows Hands-on experience with LangGraph for workflow orchestration Expertise in building Retrieval-Augmented Generation (RAG) pipelines Knowledge of semantic layers and knowledge graphs for structured reasoning Proficient in Python and FastAPI for backend and API development Solid understanding of databases (SQL/NoSQL) and query optimization Design and develop AI-driven applications leveraging LLMs and agentic workflows Build, test, and deploy backend services and APIs using Python and FastAPI Implement workflows using LangGraph and integrate with external services/APIs Ensure code quality, scalability, and reliability in production systems Develop RAG systems, semantic layers, and knowledge graph integrations Ensure code quality, scalability, and reliability in production systems Participate in code reviews, maintain coding standards, and follow best practices Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices Large Language Models (LLMs)

Requirements

• Strong experience with Large Language Models (LLMs) and agentic workflows
• Hands-on experience with LangGraph for workflow orchestration
• Expertise in building Retrieval-Augmented Generation (RAG) pipelines
• Knowledge of semantic layers and knowledge graphs for structured reasoning
• Proficient in Python and FastAPI for backend and API development
• Solid understanding of databases (SQL/NoSQL) and query optimization

Responsibilities

• Design and develop AI-driven applications leveraging LLMs and agentic workflows
• Build, test, and deploy backend services and APIs using Python and FastAPI
• Implement workflows using LangGraph and integrate with external services/APIs
• Ensure code quality, scalability, and reliability in production systems
• Develop RAG systems, semantic layers, and knowledge graph integrations
• Ensure code quality, scalability, and reliability in production systems
• Participate in code reviews, maintain coding standards, and follow best practices
• Stay up-to-date with emerging AI tools, frameworks, and LLMOps best practices

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Professional, Scientific, and Technical Services
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees