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.