What are the responsibilities and job description for the Senior MLOps Engineer position at Promise?
Company Overview
Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt. Our innovative approach to payment plans and relief distribution significantly improves enrollment and recovery rates, helping individuals clear debts faster and reducing delinquencies for our partners.
We treat people facing financial difficulties with respect and dignity, providing the tools and resources they need to thrive. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders.
Backed by over $50 million in funding from top investors such as 8VC, Kapor Capital, XYZ Ventures, and Howard Schultz, we've been recognized as one of Fast Company's "World's Most Innovative Companies of 2022."
Role Overview
As an MLOps Engineer at Promise, you'll be at the forefront of integrating artificial intelligence and machine learning into our mission of transforming the way individuals facing financial difficulty receive and interact with essential public services. Your primary responsibility will be to design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications and services for both internal and external products. This will include creating and managing complex AI systems, integrating LLMs, real-time systems, APIs, and agentic workflows in a robust, scalable, and powerful manner. Your expertise in AI technologies will drive innovation, efficiency, and automation across our platform.
Join us in a dynamic, growth-oriented environment where your work will directly impact people's lives and shape the future of government services. This is an exceptional opportunity to be a key player in leveraging AI to enhance our product offerings and drive positive social impact.
What Will Enable You
Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.
Promise empowers utilities and government agencies to create flexible, affordable solutions for individuals struggling with debt. Our innovative approach to payment plans and relief distribution significantly improves enrollment and recovery rates, helping individuals clear debts faster and reducing delinquencies for our partners.
We treat people facing financial difficulties with respect and dignity, providing the tools and resources they need to thrive. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders.
Backed by over $50 million in funding from top investors such as 8VC, Kapor Capital, XYZ Ventures, and Howard Schultz, we've been recognized as one of Fast Company's "World's Most Innovative Companies of 2022."
Role Overview
As an MLOps Engineer at Promise, you'll be at the forefront of integrating artificial intelligence and machine learning into our mission of transforming the way individuals facing financial difficulty receive and interact with essential public services. Your primary responsibility will be to design, develop, test, and manage end-to-end generative AI and large language model (LLM) applications and services for both internal and external products. This will include creating and managing complex AI systems, integrating LLMs, real-time systems, APIs, and agentic workflows in a robust, scalable, and powerful manner. Your expertise in AI technologies will drive innovation, efficiency, and automation across our platform.
Join us in a dynamic, growth-oriented environment where your work will directly impact people's lives and shape the future of government services. This is an exceptional opportunity to be a key player in leveraging AI to enhance our product offerings and drive positive social impact.
What Will Enable You
- A minimum of 7 years of professional software development experience.
- Passionate drive for our mission and relentless pursuit of customer success.
- Intolerance for mediocrity and high commitment to doing everything necessary to achieve your goals.
- High moral and ethical standards, seeking open and honest communication, and rejecting manipulation, dishonesty, and intolerance.
- Demonstrated dedication and commitment to our customers, shareholders, employees, and local communities.
- Experience with Python, especially for asynchronous applications.
- Expertise with LLMOps, general MLOps, or other closely related AI specializations, especially experience with testing and maintaining production LLM applications and 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.
Promise engages in US government contracts and restricts hiring to US persons, which includes US citizens and permanent residents (e.g., Green Card holders). Additionally, candidates must reside in the US.