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Senior MLOps Engineer

Promise helps utilities and government agencies create flexible payment solutions for individuals struggling with debt, backed by $50M in funding.
$150,000 - $215,000
Machine Learning
Staff Software Engineer
Hybrid
7+ years of experience
AI · Finance · Enterprise SaaS

Description For Senior MLOps Engineer

Promise is revolutionizing how individuals manage debt with government agencies and utilities through innovative payment solutions. As a Senior MLOps Engineer, you'll be instrumental in integrating cutting-edge AI and machine learning technologies into their mission-driven platform. With backing from notable investors like Reid Hoffman and Y Combinator, and recognition as one of Fast Company's "World's Most Innovative Companies," Promise offers an exciting opportunity to make a real social impact.

The role demands expertise in LLMOps and MLOps, with a focus on building and maintaining production-grade AI systems. You'll be responsible for designing and implementing end-to-end generative AI applications, working with LLMs, and creating scalable solutions using technologies like Python, Kubernetes, and cloud infrastructure tools. With a minimum requirement of 7 years of software development experience, you'll be expected to bring strong technical expertise and systems architecture knowledge.

Promise offers an attractive compensation package ranging from $150K to $215K, plus equity, making you a true stakeholder in the company's success. The comprehensive benefits include 100% covered medical, dental, and vision insurance for employees and dependents. The hybrid work environment, requiring at least three days in the office, promotes collaboration while maintaining flexibility.

This is an opportunity to join a mission-driven company that's making a real difference in people's lives while working with cutting-edge AI technologies. You'll be part of a team that includes alumni from prestigious companies like Palantir, Google, and Stripe, working together to transform how public services are delivered and making them more accessible to those in need.

Last updated 2 days 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 7 years of professional software development experience
  • Experience with Python, especially for asynchronous applications
  • Expertise with LLMOps, general MLOps, or other AI specializations
  • Experience with testing and maintaining production LLM applications
  • Experience with self-hosting ML models
  • 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

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • 100% coverage of base medical, dental, and vision insurance plans for employees and their dependents
  • Stock options for all full-time employees
  • Flexible hybrid work with minimum 3 days in office

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