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Engineer, AI Engineer (Applied​/Software)

Job in Irvine, Orange County, California, 92713, USA
Listing for: Tata Consultancy Services Limited
Full Time position
Listed on 2026-07-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Cloud Engineer - Software, Backend Developer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 90000 - 160000 USD Yearly USD 90000.00 160000.00 YEAR
Job Description & How to Apply Below
  • 5+ years of experience in software engineering,data engineering, or AI/ML engineering
  • Strong proficiency in Python for AI/data workflows and automation
  • Hands-on experience building solutions in AWScloud environments
  • Experience with:
  • Databricks (or similar) and Apache Spark fordistributed data processing
  • Graph databases (Neptune or similar)
  • DynamoDB and Redis/Elasti Cache
  • Experience building backend services and APIs(e.g., Java/Spring Boot, Node.js)
  • Production experience with Docker and Kubernetes
  • Experience with CI/CD pipelines and deploymentautomation
  • Strong understanding of distributed systems, dataarchitecture, and scalable design
Preferred Qualifications
  • Experience with LLM/GenAI architectures (RAG,embeddings, prompt engineering)
  • Familiarity with Lang Graph, Auto Gen, CrewAI, orsimilar agent orchestration frameworks
  • Experience with Lang Chain or Llama Index
  • Experience implementing LLM evaluation andobservability frameworks
  • Familiarity with AI security practices and threatmodels (prompt injection, guardrails)
  • Experience working in regulated environments with strong data governance and compliance requirements
  • AWS:
    Neptune, Open Search, DynamoDB, Elasti Cache(Redis), IAM, Cloud Watch
  • AI: LLM integrations, embeddings, vector search,RAG pipelines
  • Agentic/LLM Tooling:
    Lang Chain, Llama Index,Lang Graph, Auto Gen, CrewAI

Salary Range: $90,000 - $160,000 a year

Location

Irvine, CA

Job Function

TECHNOLOGY

Role

Job

418388

Desired Skills

Artificial Intelligence | Machine Learning

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