Staff Full Stack Engineer

GoodParty.org is looking for a Staff Full Stack Engineer to help scale frontier AI to empower tens of thousands of Independent candidates and elected officials who are putting people over parties. This is a role for an engineer who nerds out about the latest in AI, tests what actually works, and turns the best ideas into durable, high-impact features for our users. You will lead technical projects without needing to be a people manager: shaping architecture, setting patterns, building across the stack, and pushing our AI-native products into the hands of civic leaders who are solving real problems for their communities. About GoodParty.org: A majority of voters, including more than half of Millennials and Gen Z, say that neither major party represents them. GoodParty.org is the solution. We're on a mission to make people matter more than money in our democracy by empowering Independent candidates to run, win, and serve. Since 2024, 13,000+ Independent candidates have won their races across all 50 states using our tools, training, and support. Our AI-powered platform provides free tools to launch and run campaigns, connect with voters, and serve their communities effectively — without needing a political party or big donors. What our users have in common is that they prioritize people over parties and community over special interests. We're not a political party, we're a platform and a movement to democratize democracy. Founded by serial entrepreneur Farhad Mohit ($1B+ in exits, including Flipagram/TikTok and Shopzilla), GoodParty.org is building solutions so we can have a truly representative democracy where society's biggest problems are solved. What you'll do: • Own features end-to-end across the stack — from the Next.js frontend through the NestJS backend and into the Python AI services that power them. • Set the frontend quality bar for AI-native product surfaces, defining component patterns and UI interaction models for agent-driven, conversational experiences. • Embed in a product squad as a key voice, partnering with product and design to take features from prototype to production. • Build and maintain the integration layer between the user-facing product and our Civic Agent Platform — owning the contracts, data shapes, and API boundaries that connect what users see to what agents compute. • Contribute to the evaluation and quality layer for user-facing AI features, including eval pipelines, golden datasets, and CI gates that catch model failures before they reach users. • Raise the engineering bar by turning repeated problems and slowdowns into shared infrastructure, reusable patterns, stronger tooling, and better development practices for the team. • Lead technical conversations across the stack with enough fluency in infrastructure, deployment, and observability to make sensible tradeoffs and escalate the right things. • Report to the CTO and partner closely with our Principal Engineer and squad Tech Leads. Who we're looking for: • You're up for the audacious challenge of driving money out of politics and democratizing democracy. • You thrive in a remote, fast-paced environment, balancing strategic thinking with a strong bias toward action. • You bring 10+ years of engineering experience, with at least 3 years at Staff level or equivalent scope owning full stack product delivery. • You are genuinely full stack — comfortable and productive in Next.js/React on the frontend and NestJS/TypeScript on the backend, and you don't have a preference layer you silently avoid. • You walk the talk by using AI-native approaches (e.g. AI writes the code) yourself for coding, including Claude Code, Cursor, and MCPs. • You have deep working knowledge of building cloud infrastructure (especially on AWS) and using infrastructure-as-code tools. • You have shipped production LLM-powered features as a full stack engineer and understand the UI challenges of agentic systems: latency, streaming, uncertainty, and failure states. • You have working familiarity with agent patterns — Claude Agent SDK, OpenAI tool use, LangChain, or equivalent — sufficient to design frontend and API contracts that serve them. • You treat staying current as part of the job, not a side hobby. You keep up with where AI engineering is heading, you deep dive into the technology behind headlines and big claims, and fold the durable parts into your work. • You have contributed to eval pipelines, golden datasets, or CI quality gates for LLM features. • You've shipped features where content safety and output quality were not optional, and you design UIs that handle model errors and edge cases gracefully rather than silently. • You bring strong opinions loosely held and expect engineering excellence. • You communicate clearly, directly, and respectfully, and you're open to delivering and receiving candid feedback that helps the team grow. Bonus if: • You've shipped LLM features in high-trust or regulated domains where UI