Senior MLOps Engineer

Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt.
Oakland, CA, USA
$150,000 - $215,000
Machine Learning
Staff Software Engineer
Hybrid
101 - 500 Employees
7+ years of experience
AI · Finance

Description For Senior MLOps Engineer

Promise is revolutionizing how utilities and government agencies handle debt management through innovative payment solutions. As a Senior MLOps Engineer, you'll be instrumental in integrating cutting-edge AI and machine learning technologies into their platform. The role combines technical expertise in MLOps, LLMs, and system architecture with a mission-driven approach to help people facing financial difficulties.

The position offers an opportunity to work with a team of experts from prestigious companies like Palantir, Google, and Stripe, focusing on creating impactful solutions that help individuals clear debts faster while improving recovery rates for partners. Promise has secured significant backing from notable investors and has been recognized by Fast Company as one of the World's Most Innovative Companies of 2022.

Your work will directly influence the development of AI-powered solutions that enhance public services and create positive social impact. The role requires extensive experience in software development, particularly in Python and AI technologies, combined with a strong understanding of cloud infrastructure and containerization. You'll be responsible for building and maintaining production-level LLM applications and managing complex AI systems that serve both internal and external products.

The company culture emphasizes high ethical standards, customer success, and a commitment to diversity and inclusion. This is an ideal opportunity for someone who wants to combine technical excellence with meaningful social impact, working in a hybrid environment in Oakland with competitive compensation including equity.

Last updated 3 minutes ago

Responsibilities For Senior MLOps Engineer

  • Design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications
  • Create and manage complex AI systems
  • Integrate LLMs, real-time systems, APIs, and agentic workflows
  • Drive innovation, efficiency, and automation across the platform

Requirements For Senior MLOps Engineer

Python
Kubernetes
  • Minimum of 7 years of professional software development experience
  • Experience with Python, especially for asynchronous applications
  • Expertise with LLMOps, general MLOps, or other closely related AI specializations
  • Experience with cloud infrastructure (Terraform, Pulumi)
  • Experience with scalable, containerized solutions (Kubernetes, GKE, ECS, Docker)
  • Strong proficiency in systems architecture
  • Must be a US person (US citizen or permanent resident)
  • Must reside in the US

Benefits For Senior MLOps Engineer

Equity
  • Equity compensation
  • Backed by over $50 million in funding

Interested in this job?

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