Software Engineer - Platform / Applied AI (Full-Stack)Software Engineer - Platform / Applied AI (Full-Stack)

Position: Software Engineer - Platform / Applied AI (Full-Stack) Location: San Francisco, CA | Full-time | In person Compensation: $260,000-$290,000 + equity THE ROLE Our client is looking for a Software Engineer to join their team to own core platform and data infrastructure alongside the founding team. The work spans full-stack product surfaces, desktop data-capture workflows, high-throughput pipelines, and foundational architecture. The engineer will have direct founder access and substantial responsibility for decisions that shape the growing engineering team. WHAT YOU WILL OWN • Build and scale data-capture workflows across Next.js web applications and Python desktop systems • Improve reliability, throughput, and performance under heavy production loads • Architect data pipelines and make greenfield decisions about storage, caching, search, and message queues • Establish engineering practices and scalable system patterns • Work directly with the founders on product strategy and ship features quickly • Take ideas from design through production and balance delivery speed with reliability Requirements REQUIRED TECHNICAL EXPERIENCE • Full-stack JavaScript/Next.js and Python application development • Strong coding fundamentals in Node.js/TypeScript, Python, and/or Go • Serverless architecture and cloud functions for substantial data processing on AWS or GCP • Distributed systems, scalability, system design, and clear reasoning about technical trade-offs • Hands-on experience with Redis caching, Elasticsearch indexing, and Kafka, RabbitMQ, or comparable message queues • Familiarity with Kubernetes, APIs, and NoSQL databases • Evidence of personally getting ideas into production NICE TO HAVE • AI research, LLM evaluation, or human-in-the-loop systems • AI agents or reinforcement-learning environments • Founder or early engineering experience STRONG CANDIDATE SIGNALS • An active GitHub showing sustained building • Ownership of production systems with measurable reliability or throughput results • Experience with both user-facing software and demanding data infrastructure • Proactive decisions in ambiguous, fast-moving startup work • Clear motivation to work in AI operations and at an early-stage company • Willingness to work the intense hours described in the hiring brief Benefits Compensation $260,000-$290,000 + equity Benefits Equity grant vesting over four years, health insurance, covered daily lunch and dinner, and a gym membership.