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About 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.
Responsibilities
- 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
- 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.
- AI research, LLM evaluation, or human-in-the-loop systems.
- AI agents or reinforcement-learning environments.
- Founder or early engineering experience.
- 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.
Skills
- Next.js
- Python
- Node.js
- TypeScript
- Go
- AWS
- GCP
- Redis
- Elasticsearch
- Kafka
- RabbitMQ
- Kubernetes
- APIs
- NoSQL databases
- AI research
- LLM evaluation
- Human-in-the-loop systems
- AI agents
- Reinforcement-learning
Location
- San Francisco, CA
Work Type
- Full-time
- In person
Experience Level
- Early engineering experience
Salary/Compensations
- $260,000–$290,000 + equity
Benefits
- Equity grant vesting over four years
- Health insurance
- Covered daily lunch and dinner
- Gym membership