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

Codetech•Eden Prairie, MN

About The Position

We are seeking a Lead AI/ML Engineer to design, build, and deploy enterprise-scale Generative AI solutions powered by Large Language Models (LLMs). This role combines hands-on engineering, technical leadership, and Responsible AI governance to deliver secure, scalable, and business-impacting AI capabilities. The successful candidate will work with a cross-functional team of Data Scientists, AI/ML Engineers, Data Engineers, Web/Application Developers, and business stakeholders. The team designs, builds, and deploys analytics, machine learning, and Generative AI solutions that deliver business value. The stated team breakdown is 1 PM, 1 Senior Lead, and 3 developers. Healthcare experience is preferred but not required. The highest priority is a technically strong Lead AI/ML Engineer with deep LLM and Generative AI expertise, production-scale delivery experience, and a strong understanding of Responsible AI, governance, privacy, and security in regulated environments.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a 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 such as 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.

Nice To Haves

  • Healthcare experience.
  • Experience delivering production-scale LLM and Generative AI solutions.
  • Understanding of Responsible AI and governance, including work in regulated environments.
  • Technical depth and leadership skills to build platforms, mentor teams, and drive enterprise AI strategy.

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.
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