AI Engineer

Aim4Hire LLC

$135K — $160K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • 8+ years backend engineering experience in Python.
  • 3+ years experience in building and deploying machine learning systems.
  • Experience with large-scale enterprise data solutions.

Responsibilities

  • Lead creation and implementation of Retrieval-Augmented Generation (RAG) systems.
  • Architect multi-agent systems for effective operation within the platform.
  • Build highly scalable LLM-powered systems for enterprise workloads.
  • Conduct LLM fine-tuning for specific business domains.
  • Optimize LLM performance, cost, and reliability in production.
  • Mentor junior engineers in AI/ML best practices.
  • Evaluate and propose emerging AI technologies for adoption.

Benefits

  • Remote work flexibility.
  • Opportunity to mentor and develop others.
  • Access to the latest AI technologies and tools.
  • Participation in a VC-backed innovative environment.
Full Job Description
Our VC-backed Client based in TX is seeking an AI Engineer (open to Remote).

Key Responsibilities
  • Lead creation & implementation of RAG systems
  • Architect multi-agent systems that operate effectively within our platform
  • Build highly scalable LLM-powered systems that can handle enterprise-level workloads
  • LLM fine-tuning initiatives to customize models for specific business domains and use cases
  • Optimize LLM performance, cost, and reliability in production environments
  • Mentor and develop junior engineers in AI/ML best practices
  • Evaluate emerging AI technologies for potential adoption

Experience
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 8+ years of backend engineering experience in Python
  • 3+ years of hands-on experience building and deploying machine learning systems
  • Experience building solutions at scale with large enterprise data

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