Job Overview
Location
Remote (United States)
Job Type
Full-time
Category
Software Engineering
Date Posted
July 4, 2026
Full Job Description
📋 Description
- • Own end-to-end development of AI-native features across the full stack, including Next.js/React frontend, NestJS/TypeScript backend, and Python-based AI services.
- • Define and enforce frontend quality standards for agent-driven, conversational UIs, establishing component patterns and interaction models for AI-powered interfaces.
- • Embed directly in product squads to collaborate with product and design teams, translating prototypes into production-ready features with technical ownership.
- • Build and maintain the integration layer between the user-facing application and the Civic Agent Platform, owning API contracts, data schemas, and system boundaries.
- • Contribute to evaluation pipelines, golden datasets, and CI gates that detect and prevent LLM failures before they reach users.
- • Elevate engineering standards by transforming recurring technical challenges into reusable infrastructure, shared tooling, and improved development practices.
- • Lead technical discussions across infrastructure, deployment, and observability domains, making informed tradeoffs and escalating critical issues appropriately.
- • Report directly to the CTO and collaborate closely with the Principal Engineer and squad Tech Leads to align technical direction with product goals.
- • Ship production-grade LLM-powered features with deep understanding of UI challenges including latency, streaming, uncertainty, and failure states in agentic systems.
- • Apply AI-native coding practices using tools like Claude Code, Cursor, and MCPs as part of daily development workflows.
- • Design UIs that gracefully handle model errors, edge cases, and output uncertainty — prioritizing content safety and responsible presentation for non-technical users.
- • Maintain up-to-date knowledge of advancements in AI engineering, deeply researching emerging technologies and integrating durable innovations into the product.
- • Have hands-on experience with agent frameworks such as Claude Agent SDK, OpenAI tool use, LangChain, or equivalent, and design frontend/API contracts to support them.
- • Contribute to the development and maintenance of eval pipelines and quality gates specifically for LLM features in production environments.
- • Work in a fully remote, fast-paced environment with a bias toward action, balancing strategic architecture with rapid execution.
- • Demonstrate strong opinions loosely held, with a commitment to engineering excellence and a culture of candid, respectful feedback.
🎯 Requirements
- • 10+ years of engineering experience with at least 3 years at Staff level or equivalent scope owning full stack product delivery
- • Proficiency in Next.js/React for frontend and NestJS/TypeScript for backend, with no avoided layers in the stack
- • Deep working knowledge of AWS cloud infrastructure and infrastructure-as-code tools
- • Shipped production LLM-powered features as a full stack engineer with understanding of agentic UI challenges
- • Experience with agent patterns (e.g., Claude Agent SDK, OpenAI tool use, LangChain) and designing frontend/API contracts for them
- • Demonstrated contribution to eval pipelines, golden datasets, or CI quality gates for LLM features
🏖️ Benefits
- • 100% coverage of health, dental, and vision benefits for employee and dependents
- • Unlimited PTO (sick and vacation) policy with emphasis on work-life balance
- • $50/month stipend for home internet or co-working expenses
- • Individual learning & development budget to support professional growth
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About GoodParty.org
GoodParty.org is a nonpartisan civic technology platform that helps independent and third-party candidates run for office without corporate money. It offers free tools for ballot access, voter outreach, campaign finance compliance, and volunteer coordination. The organization also curates an open database of local races and provides AI-driven insights to level the playing field against traditional party machines, aiming to reduce the influence of big donors and increase citizen participation in U.S. elections.
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