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

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.