Full Stack Engineer - San Francisco (Financial District)

Job Description

Description

Our client has built and published award-winning research on the frontier of AI. They have built and worked on deep learning, reinforcement learning, multi-agent systems, economics, robotics, automated experiment design, program synthesis, formal verification, and more. Their mission is to build intelligence to co-invent the future. They envision a future where people and powerful AI agents interact and collaborate in unseen ways to create and discover. To achieve this, they build AI that plans, abstracts, verifies, and discovers new skills and knowledge. They are backed by top-tier investors and partners including Eric Schmidt (former CEO of Google and former Executive Chairman of Alphabet), Caltech, Jeff Dean (Chief Scientist, Google DeepMind and Google Research), and JP Millon.

Description

Join our client as a Full-Stack Engineer and play a critical role in shaping cutting-edge AI applications. We seek world-class engineers with a track record of exceptional achievement and the potential to grow into top-tier technical leaders. You’ll work across the stack to build scalable, intelligent systems, remove bottlenecks, and accelerate innovation.

Key Responsibilities

Own end-to-end development of core features, from frontend UI to backend services and databases.

Design, build, and maintain scalable, high-performance web applications that integrate seamlessly across the stack.

Work with modern frontend frameworks (e.g., React, Vue, or Svelte) to build dynamic and responsive user interfaces.

Develop and optimize RESTful, WebSocket, and GraphQL APIs to support real-time and batch data processing.

Architect and implement efficient database schemas and data storage solutions.

Ensure code quality, reliability, and security through automated testing, code reviews, and CI/CD best practices.

Optimize performance at both frontend and backend levels, ensuring smooth user experiences.

Collaborate with product, design, and engineering teams to deliver intuitive and high-quality features quickly.

Maintain and enhance cloud infrastructure (e.g., AWS, GCP, or Azure) to ensure scalability and reliability.

Stay up to date with emerging technologies and best practices to keep our tech stack cutting-edge.

Familiarity with AI/ML is a plus but not required. If interested, you’ll have opportunities to work on AI-driven features.

Skills, Knowledge and Expertise

You are a world-class engineer with a proven track record of building and scaling complex software systems.

You have 4+ years of experience in full-stack development, with expertise in both frontend and backend technologies.

You have strong software engineering fundamentals—data structures, algorithms, system design, and performance optimization.

You write clean, maintainable, and efficient code with a focus on scalability, security, and reliability.

You have deep knowledge of modern web frameworks (React, Vue, or similar), backend architectures (Node.js, Python, Go, or similar), and cloud infrastructure (AWS, GCP, or Azure).

You can architect and optimize database schemas for high-performance applications, working with SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Cassandra) databases.

You are proficient in cloud-native and distributed computing frameworks such as Kubernetes, Docker, Apache Kafka, Spark, and Redis, ensuring scalable and resilient architectures.

You have experience leading technical projects, mentoring engineers, and making high-impact architectural decisions.

You can break down complex problems systematically and communicate solutions clearly to both technical and non-technical audiences.

You take ownership, thrive in fast-paced environments, and execute with speed and precision.

You are collaborative, value feedback, and have a bias for action and a drive for excellence.

You have experience with the latest AI applications and tools, e.g., code assistants.

Contributions to open-source projects or published research.

Experience with applying deep learning, reinforcement learning, or large-scale ML systems.

Expertise in distributed computing and handling large datasets.

Benefits

Wellness benefits (e.g., gym, fitness classes, physical therapy).

Competitive base salary (160k to 200k) + stock options

100% covered premium health, dental, and vision insurance.

Retirement 401k: 100% match of your 401k deferrals up to 4% of your compensation.

Commuter benefits

Daily meals in the office

Training and development budget, e.g., for domestic conferences.

Flexible working hours

Unlimited PTO (with manager approval)

Team-building events and celebrations

Full-time