Staff Full Stack Engineer

GoodParty.org
$200,000 - $235,000Remote

About The Position

GoodParty.org is seeking a Staff Full Stack Engineer to contribute to scaling frontier AI technologies. This role is for an engineer passionate about AI, focused on practical application, and driven to create high-impact features for users. The engineer will lead technical projects, influencing architecture, establishing patterns, developing across the full stack, and deploying AI-native products to civic leaders. GoodParty.org aims to empower Independent candidates to run, win, and serve by providing an AI-powered platform with free tools for campaigns, voter connection, and community service, thereby making people matter more than money in democracy. Founded by Farhad Mohit, the organization is building solutions for a representative democracy.

Requirements

  • Up for the audacious challenge of driving money out of politics and democratizing democracy.
  • Thrive in a remote, fast-paced environment, balancing strategic thinking with a strong bias toward action.
  • 10+ years of engineering experience, with at least 3 years at Staff level or equivalent scope owning full stack product delivery.
  • Genuinely full stack — comfortable and productive in Next.js/React on the frontend and NestJS/TypeScript on the backend.
  • Use AI-native approaches (e.g. AI writes the code) yourself for coding, including Claude Code, Cursor, and MCPs.
  • Deep working knowledge of building cloud infrastructure (especially on AWS) and using infrastructure-as-code tools.
  • Shipped production LLM-powered features as a full stack engineer and understand the UI challenges of agentic systems: latency, streaming, uncertainty, and failure states.
  • Working familiarity with agent patterns — Claude Agent SDK, OpenAI tool use, LangChain, or equivalent — sufficient to design frontend and API contracts that serve them.
  • Treat staying current as part of the job, not a side hobby. Keep up with where AI engineering is heading, deep dive into the technology behind headlines and big claims, and fold the durable parts into your work.
  • Contributed to eval pipelines, golden datasets, or CI quality gates for LLM features.
  • Shipped features where content safety and output quality were not optional, and design UIs that handle model errors and edge cases gracefully rather than silently.
  • Strong opinions loosely held and expect engineering excellence.
  • Communicate clearly, directly, and respectfully, and be open to delivering and receiving candid feedback that helps the team grow.
  • Physically located in the US.

Nice To Haves

  • Shipped LLM features in high-trust or regulated domains where UI-level error handling and responsible output presentation were explicitly designed, not bolted on.
  • Experience building agent-facing UI patterns: streaming responses, structured tool results surfaced progressively, and confidence or uncertainty signals presented to non-technical users.
  • Contributed to open-source projects or developer communities.
  • Professional or volunteer experience in civic tech, democracy reform, political campaigns, or social impact initiatives.
  • Tired of sitting on the sidelines while democracy fails to meet its potential — and ready to act.

Responsibilities

  • 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.

Benefits

  • 100% coverage of health, dental, and vision benefits for you and your dependents.
  • Unlimited PTO (sick and vacation) policy.
  • 401(k) program available.
  • Individual learning & development budget.
  • Workspace setup stipend.
  • $50/month to help with internet and other expenses for remote workers.
  • Option to discuss co-working.
  • Innovative Bitcoin denominated deferred bonus plan.
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