Software Engineer - AI

Promise
San FranciscoPosted 11 March 2026

Tech Stack

Job Description

Software Engineer - AI Company Overview Promise modernizes how government agencies and utilities support people in financial difficulty. We build 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. Our mission is to transform public systems so they work better for everyone, especially the most vulnerable. Our team includes experts from companies like Palantir, Google, Stripe , and esteemed government leaders. We work hard and believe deeply in what we do. We're looking for excellent people to build innovative, resilient technology. Backed by over $50 million in funding from top investors – such as Reid Hoffman, Howard Schultz, Michael Seibel, Y Combinator, 8VC, The General Partnership, First Round Capital, Kapor Capital, XYZ Ventures, and Bronze Investments – Promise has been recognized as one of Fast Company's "World's Most Innovative Companies of 2022,” “Forbes Next Billion-Dollar Startups 2024,” and Y Combinator’s #1 GovTech startup. ABOUT THE ROLE At Promise, we’re transforming how people in financial difficulty connect with public services—using technology to make systems simpler, faster, and more human. As a Software Engineer - AI, you’ll design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission. You’ll build AI pipelines and infrastructure for prompt engineering, fine-tuning, document parsing, and RAG systems, and help bring new AI capabilities from early concept into real-world deployment. You’ll be developing AI products that will be deployed across a variety of complex customer use cases. This role requires comfort operating in ambiguity and strong technical judgment about what to build now versus what to scale over time. Your work will drive innovation, automation, and efficiency across our platform—helping government services reach people more effectively and with greater dignity. This is a chance to be on the frontier of applied AI: shaping systems that not only push technical boundaries but also make a real-world impact at scale. WHAT YOU’LL DO Build with purpose: Design and develop AI-powered applications and services, focusing on generative AI and LLMs. Create pipelines: Implement services for generative AI integrations, document parsing, model fine tuning, and RAG systems, ensuring they are reliable and production-ready. Drive automation: Partner across teams to identify opportunities where AI reduces friction, increases efficiency, and solves real-world challenges. Stay ahead: Track and apply advancements in the AI landscape, guiding strategy and adoption. Shape strategy: Contribute to the vision, goals, and roadmap for AI/ML development at Promise as an individual contributor with meaningful ownership over technical decisions. BONUS POINTS While not required, we’re especially excited about candidates who: - Have taken a product or major feature from 0→1. - Have experience building in early-stage or high-growth environments. - Have founded or co-founded something — even if it didn’t succeed. - Have scaled AI-powered systems beyond initial prototypes. - Bring strong product instincts alongside technical depth. WHO THRIVES AT PROMISE You’ll love it here if: - 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’re energized by building in environments where not everything is fully defined yet. - You value clear, candid, and constructive communication. Promise is not for you if: - You prefer hierarchy and rigid structures. We operate with freedom and responsibility. - You are uncomfortable with change. We move fast, adapt often, and expect agility. - You want ... (truncated, view full listing at source)
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