Staff Machine Learning Operations Engineer

Summary

Join Housecall Pro as a Staff MLOps Engineer and contribute to the development and optimization of AI-driven applications. You will lead the development of scalable LLM agent-based applications, build and maintain data pipelines, design CI/CD pipelines, and collaborate with cross-functional teams. This remote position offers flexible work hours, self-managed PTO, and a competitive salary starting at $7000 USD. Housecall Pro provides a supportive and innovative work environment with opportunities for professional growth and impact. The company is committed to improving the lives of its users and offers a diverse and inclusive culture.

Requirements

• 6+ years of experience in Python development, DevOps, or MLOps roles
• Proven experience deploying large language models and AI applications into production environments
• Deep proficiency with Kubernetes and containerized application development
• Strong background in building and maintaining CI/CD pipelines for ML or data systems
• Experience with cloud platforms (i.e. AWS, GCP, or Azure) and Infrastructure as Code tools (i.e. Terraform, Terragrunt)
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field, or equivalent work experience

Responsibilities

• Lead the development of scalable LLM agent-based applications using Python and modern agent architecture patterns
• Build, maintain, and optimize automated data pipelines for ingesting and transforming large-scale datasets
• Design and manage CI/CD pipelines and container orchestration platforms such as Kubernetes for LLM workflows
• Integrate Infrastructure as Code (IaC) tools like Terraform or Terragrunt to provision and manage cloud infrastructure
• Collaborate with data scientists, engineers, and product teams to deploy and scale machine learning models
• Evaluate and implement new technologies and practices to improve the performance and reliability of MLOps systems
• Monitor and troubleshoot operational issues across the AI infrastructure stack
• Document system designs, workflows, and engineering processes for cross-team visibility and collaboration
• Contribute to internal knowledge sharing and guide junior engineers in best practices
• Maintain a continuous improvement mindset by proposing optimizations to current tools and systems

Preferred Qualifications

• Adaptability in fast-changing technical environments
• Collaborative mindset with a passion for mentoring and knowledge sharing
• Curiosity and drive to stay current with the latest in AI/ML and infrastructure trends
• Strong communication skills and ability to influence cross-functional teams
• Passion for scalable systems and elegant architecture

Benefits

• Remote environment
• Self Managed PTO
• Flexible work hours
• Work in your own time zone
• Newest MacBook (or PC if you prefer!) + Setup Fee ($500)
• Salary starting at $7000 USD