Advanced AI Infrastructure Specialist

3 days ago


Palo Alto, California, United States Qualified Health Full time

**Job Overview:**

Qualified Health is seeking an exceptional MLOps Engineer to design, implement, and maintain infrastructure for deploying and managing advanced gen-AI agents and workflows powered by large language models.

**Estimated Salary:** $185,000 - $205,000 per year

Job Responsibilities:

  • Create production-ready infrastructure and scalable deployment strategies for LLM-enabled agents and workflows.
  • Implement and optimize continuous integration and continuous deployment (CI/CD) processes for AI applications.
  • Develop and manage version control systems for AI agents, workflows, datasets, LLM models, and their associated artifacts.
  • Implement governance and safety mechanisms for AI agent deployments.
  • Design tooling for testing and performance evaluation of LLM models.
  • Develop comprehensive logging and tracing systems for AI workflows.
  • Ensure compliance with data privacy, security, and governance standards.
  • Collaborate with data scientists and engineers to translate experimental AI workflows into production-ready solutions.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Machine Learning, Software Engineering, or related field.
  • 5+ years of experience in software engineering, with a strong background in machine learning and LLMs.
  • Proficiency in programming languages such as Python, with strong coding skills.
  • Expert-level proficiency in Python and LLM frameworks (Hugging Face, LangChain, OpenAI API, LlamaIndex, etc.).
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Advanced understanding of machine learning model deployment, monitoring, and management.
  • Strong experience with CI/CD tools (GitHub Actions).
  • Familiar with ML versioning tools (DVC, MLflow).
  • Experience with infrastructure as code (Terraform, CloudFormation).

Benefits:

  • Competitive salary and equity packages.
  • Health, dental, and vision insurance.
  • Flexible working hours and hybrid work options.
  • An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
  • A vibrant and inclusive work environment that fosters creativity and innovation.


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