Member of Technical Staff, Full Stack, LLM Applications
Location: Bay Area
Department: Platform
Location Type: IN_OFFICE
Employment Type: FULL_TIME
- Design and develop scalable web applications and APIs for our models, building both frontend interfaces and backend services.
- Build systems for internal experimentation and monitoring that provide observability across our entire tech stack.
- Develop RESTful APIs to expose model capabilities to external applications.
- Implement authentication, authorization, and security best practices for enterprise deployments.
- Collaborate with ML engineers to integrate model serving infrastructure with the application layer.
- Design infrastructure as code, deployment automation, and CI/CD pipelines.
- BS/MS/PhD in Computer Science, Machine Learning, or a related field (or equivalent experience).
- 5+ years of experience building production web applications.
- Strong proficiency in modern JavaScript/TypeScript and Python.
- Experience with frontend frameworks (e.g., React) and state management solutions.
- Solid understanding of backend development, including API design, database management, and microservices architecture.
- Experience with SQL and NoSQL databases (e.g., Neon).
- Familiarity with Kubernetes, CI/CD pipelines, and cloud infra (AWS and/or Azure).
- Experience with version control (Git) and collaborative development workflows.
- Strong problem-solving skills and the ability to work in a fast-paced startup environment.
- Experience building applications that integrate with AI/ML systems.
- Knowledge of streaming architectures and real-time data processing.
- Experience with monitoring and observability tools (Prometheus, Grafana).
- Understanding of ML concepts and experience with ML frameworks (PyTorch, TensorFlow).
- Experience with infrastructure as code tools (Terraform).
- Experience with testing frameworks and test-driven development.
- Experience with UI/UX design and Framer.
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