Promise modernizes how government agencies and utilities support people in financial difficulty by building technology that makes it simple for residents to receive benefits, engage with assistance programs, set up flexible payment plans, and stay on track—while helping agencies increase efficiency, recover revenue, and deliver services with dignity. The Software Engineer - AI will design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission.
Requirements
- Design and develop AI-powered applications and services, focusing on generative AI and LLMs.
- Implement services for generative AI integrations, document parsing, model fine tuning, and RAG systems.
- Build AI pipelines and infrastructure for prompt engineering, fine-tuning, document parsing, and RAG systems.
- Experiment with new generative use cases.
- Develop AI products that will be deployed across a variety of complex customer use cases.
- Track and apply advancements in the AI landscape, guiding strategy and adoption.
- Contribute to the vision, goals, and roadmap for AI/ML development at Promise.
Responsibilities
- Design and develop AI-powered applications and services, focusing on generative AI and LLMs.
- Implement services for generative AI integrations, document parsing, model fine tuning, and RAG systems.
- Build AI pipelines and infrastructure for prompt engineering, fine-tuning, document parsing, and RAG systems.
- Experiment with new generative use cases.
- Develop AI products that will be deployed across a variety of complex customer use cases.
- Track and apply advancements in the AI landscape, guiding strategy and adoption.
- Contribute to the vision, goals, and roadmap for AI/ML development at Promise.
Other
- You are energized by big, complex challenges and the opportunity to solve them.
- You want your work to have a real, measurable impact on people’s lives.
- You take ownership and run toward problems, not away from them.
- You value clear, candid, and constructive communication.
- Hybrid work: we deeply value in-person collaboration and are in-office at least 3 days a week, but are flexible on working from home.
