Founding Engineer - AI and Full Stack

Location: San Francisco, CA (onsite) Employment: Full-Time Experience: 0-6 years Compensation: $170K-$250K + Equity Equity: 0.5%-1.5% Openings: 3 We're working with an early-stage AI startup building intelligent software that automates complex, high-volume customer workflows across voice, SMS, and email. This is a true founding-level engineering opportunity for someone who wants significant ownership, moves quickly, and enjoys solving problems where there isn't an established playbook. You'll work across the full stack while helping build and scale production AI agents, integrations, and workflow systems. What You'll Do: As a Founding Engineer, you'll have end-to-end ownership across product and infrastructure, including: Build and scale production AI agents across voice, SMS, and emailDesign systems that maintain context and consistency across multi-channel interactionsDevelop full-stack product experiences and internal toolsBuild complex API integrations and custom adaptersWork with external systems that may have limited or inconsistent APIsDevelop scheduling and workflow orchestration systemsBuild infrastructure for scaling LLM-powered applicationsImprove agent state, memory, personalization, and reasoningOwn features from problem definition → design → implementation → deployment → iterationTroubleshoot production issues and make architectural decisions as the product evolvesWork closely with the founding team to turn ambiguous problems into working products Requirements We're looking for a high-slope, highly ambitious engineer who wants substantial ownership early in their career. Required: 1-6 years of software engineering experienceStrong TypeScript and Python experienceFull-stack development experienceExperience shipping real production softwareStrong software engineering and computer science fundamentalsExperience owning projects or systems end-to-endAbility to make sound technical decisions with limited directionComfortable working through ambiguous, technically challenging problemsStrong understanding of the systems you've built and the architectural decisions behind themDemonstrated ability to learn quickly and take on new technologiesWillingness to work in-person in San Francisco 6 days/weekComfortable working in a highly demanding, fast-paced startup environment Strongly Preferred: AI agents or production LLM applicationsLLM orchestrationVoice AISMS/email automationConversational AIAgent state and memoryComplex API integrationsReverse-engineering or integrating with legacy systemsScheduling or workflow systemsHealthcare or other highly regulated industriesHigh-volume communication platformsAWSNext.jsTypeScriptPythonOpen-source or significant personal projectsEarly-stage or founding startup experience What Makes This Role Different: This isn't a role where you'll simply receive tickets and implement predefined requirements. You'll be expected to figure things out, build, ship, break things, fix them, and improve them. The ideal candidate can walk through something substantial they've built and clearly explain: What was the problem? → What did you build? → What did you personally own? → What were the hardest technical decisions? → What broke? → How did you fix it? → How did you scale it? We're particularly interested in engineers who can demonstrate real-world impact, regardless of whether that experience came from a startup, previous employer, open-source project, or something they built independently. Ideal Background - You might be a: Founding or early engineer at a startupEngineer #1-10 at an early-stage companyFull-stack engineer building AI-powered productsNew or recent CS graduate with exceptional technical projectsSoftware engineer who has independently built and shipped productsEngineer with experience integrating complex or difficult external systemsYears of experience are less important than demonstrated ability to buildA candidate with 1-2 years of experience who has genuinely owned and shipped a difficult production system may be a strong fit Technology: TypeScript Python AWS Next.js LLMs AI Agents APIs Voice SMS Email Full-Stack Work Environment: This is an in-person, high-intensity startup environment in San Francisco. The team moves quickly, expects a high degree of ownership, and is looking for engineers who are excited by ambitious goals and a demanding pace. Schedule: 6 days/week Weekdays: 10 AM-9 PM Sixth day: 12 PM-7 PM Interested? If you're excited about building AI products from the ground up and want a role where you can have significant technical ownership early in your career, we'd love to hear from you. Please include: ResumeLinkedInGitHubCurrent locationBrief overview of the most meaningful production system or project you've personally built Benefits Compensation: $170K-$250K + EquityEquity: 0.5%-1.5%Comprehensive health, dental, and vision insurancePTO401(k) retirement planHigh-ownership environment with direct access to leadershipOpportunity to make a significant impact at an early-stage AI startup