Software Engineer role at Promise focused on building AI-powered solutions for government agencies and utilities. Engage with partners to integrate technology improving public aid experiences.
Responsibilities
Deploy with purpose: Work hand-in-hand with public agencies and utilities to integrate Promise’s technology into real-world systems.
Build AI-powered tools: Contribute to features that use large language models (LLMs), automation, and intelligent data parsing to simplify government workflows.
Solve problems in the wild: Dive into customer environments, debug in production, and creatively adapt solutions to unique partner needs.
Collaborate across teams: Partner with engineering, product, and delivery teams to make deployments smoother and smarter over time.
Own outcomes: Learn how to manage customer relationships, document solutions, and continuously improve our deployment processes.
Requirements
Must have graduated (or be on track to graduate) with a Bachelor’s or Master’s degree in Computer Science or a related field by June 2026
Strong fundamentals: Solid foundation in computer science and software development, with familiarity in Python, JavaScript/TypeScript, or similar languages
AI-curious (and capable): You’ve experimented with generative AI or built small projects using LLMs, APIs, or automation tools—and you’re eager to go deeper
Customer-first: You’re energized by real-world challenges and comfortable communicating with non-technical stakeholders
Builder mindset: You love figuring things out—quickly. Whether it’s debugging an integration or wiring up an AI prototype, you’re scrappy, curious, and persistent.
Collaborative: You thrive in cross-functional teams and aren’t afraid to ask questions or offer ideas.
Benefits
100% paid health coverage
Generous PTO and sick leave
Lunch, snacks, and coffee provided
Company retreats
Opportunities to travel and see the impact of your work
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
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