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AI​/ML Engineer; Gen AI, LLM, RAG

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Karwell Technologies Inc
Full Time position
Listed on 2026-10-09
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 190000 USD Yearly USD 150000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: AI/ML Engineer (Gen AI, LLM, RAG)

#W2 Reqirement

Job Title:

AI/ML Engineer (Gen AI, LLM, RAG)

Location:

Remote
Job Description

Responsibilities
  • Architect and develop production-grade Generative AI and LLM-powered solutions.
  • Design and implement Retrieval-Augmented Generation (RAG) systems, vector search, and knowledge retrieval platforms.
  • Build scalable APIs, AI services, and cloud-native ML/LLM infrastructure.
  • Establish evaluation frameworks to measure model quality, accuracy, groundedness, and safety.
  • Lead Responsible AI practices, including bias mitigation, hallucination reduction, security, privacy, and compliance controls.
  • Partner with product, business, and engineering teams to identify and deliver high-value AI use cases.
  • Evaluate emerging AI technologies and recommend innovative solutions that drive business value.
Required Skills
  • Bachelor's degree in Computer Science, Engineering, Data Science, or related field.
  • 10+ years of software engineering, machine learning, or AI engineering experience.
  • 5+ years of experience building and deploying LLM or Generative AI solutions.
  • Strong proficiency in Python and modern software engineering practices.
  • Experience with cloud platforms (Azure or AWS).
  • Hands-on experience with RAG, vector databases, prompt engineering, and AI application development.
  • Proven ability to lead complex technical initiatives and influence cross-functional teams.
Preferred Skills
  • Hands-on AI engineering leadership experience.
  • Successfully delivered production-scale LLM and Generative AI solutions.
  • Strong understanding of Responsible AI and governance.
  • Experience operating effectively in regulated environments.
  • Strong understanding of privacy and security.
  • Technical depth and leadership skills to build platforms and mentor teams.
  • Ability to drive enterprise AI strategy.
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