AI Senior Engineer at Tata Consultancy Services

Date: 6 hours ago
City: Alameda, CA
Salary: $70,000 - $145,000 per year
Contract type: Full time
Job Description

  • 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)

Salary Range:$70,000-$145,000 a year

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