Senior Software Engineer, Full-Stack (Agentic Platform)

About the role

We're hiring senior, product-minded full-stack engineers to build Supio's agentic platform — applied AI at the core, in high-stakes, real-world legal workflows. You build product end-to-end in TypeScript across the stack, from the interfaces customers touch to the services behind them.

Responsibilities

• Build agentic platform capabilities spanning voice calling & transcription, medical/financial records extraction, and legal document drafting
• Develop the agent runtime — prompt/tool architecture, skill and prompt management, and cost/performance optimization
• Design and implement the core full-stack application customers work in every day
• Ship production LLM-driven features, plus the evaluation, tooling, and monitoring that keep them accurate and observable at scale
• Shape the architecture and technical direction of a fast-evolving, AI-native platform, with senior autonomy and end-to-end ownership

Requirements

• True full-stack depth. You own product end-to-end, front to back. This isn't a front-end or backend specialist role; you're comfortable across the whole stack (React/TypeScript on the front end and modern backend services, APIs, and data pipelines).
• Strong product sense. You build customer-facing product and translate real user needs into technical solutions
• Hands-on applied AI/LLM systems experience. You've built real systems end-to-end and can speak to what you owned and what broke in production
• Fluency with coding agents as part of how you build
• Startup background. Comfortable with ambiguity, speed, and greenfield
• Autonomy and ownership. Able to meet in-office/hybrid expectations in Seattle or San Francisco

Qualifications

Nice to have:

• Prior experience at AI-native companies
• Formal ML background (optional — practical AI fluency matters more than credentials)

Skills

Competitive package of base salary, meaningful equity, and benefits. Seattle: $180,000–$255,000 annually San Francisco: $200,000–$255,000 annually Actual comp depends on qualifications, skills, experience, and location.