Software Engineer - Full Stack
friendliai · San Francisco ·
- Work mode
- Hybrid
- Category
- Fullstack
- Experience
- 4+ years
friendliai · San Francisco ·
FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models at scale in production. It delivers up to 7x faster output token speed, up to 90% lower inference costs, and 99.99% uptime across the most demanding agent workloads — long-context inference, real-time streaming, and accurate tool calling.
We are a small, fast-moving team doing work that matters at one of the most exciting moments in the history of technology. With our world-class inference stack, we are building the platform teams can actually rely on.
We're seeking a Full-Stack Software Engineer to design, build, and scale our web platform, which serves as the core interface for deploying multimodal models, observing workloads, and building agent workflows. You'll own how customers experience the platform end-to-end- signing up, authenticating, managing access across an organization, and understanding what they're being billed for - from the services and data models through to the interface. In this role, you'll work closely with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools.
We are looking for a hands-on engineer who is eager to work across the surfaces of our application — authentication and access control, billing and usage, and the model deployment and inference features customers use every day. The ideal candidate has built backend systems where correctness matters, is comfortable carrying a feature all the way to the UI, cares deeply about developer workflows, and is excited to help define the future of AI adoption.
Design, build, and maintain web applications and tools for AI model deployment, monitoring, and performance optimization
Own authentication, organization management, and billing end-to-end.
Develop clean, scalable, and robust APIs powering AI agents, workflows, and user-facing systems
Collaborate with infrastructure engineers to integrate backend systems with deployment and orchestration pipelines
Drive code quality through automated testing, CI/CD, and code reviews
Contribute to architecture and design decisions that shape our platform's long-term direction
Identify and resolve technical debt and improve system reliability in production systems
4+ years of industry experience in backend or full-stack engineering, with meaningful time spent on backend systems
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent
Production experience with authentication and authorization — SSO/OAuth2/OIDC, RBAC, API keys, and multi-tenant isolation
Experience building billing or usage-metering systems: usage-based or subscription pricing, entitlements, quotas, or payment integration
Fluent in Python and TypeScript; proficient with React/Next.js
Strong backend experience with FastAPI or similar Python frameworks
Proficiency in designing data models, writing SQL, and working with PostgreSQL; familiarity with OLAP systems such as ClickHouse
Strong API design experience across gRPC/REST/GraphQL in production systems
Solid foundation in cloud-native development
Familiarity with OpenTelemetry tracing, metrics, and structured logging
Experience with payment processors (e.g., Stripe) and usage-based or subscription SaaS billing
Familiarity with enterprise identity requirements — SAML, SCIM provisioning, or providers like Auth0/WorkOS
Familiarity with LLM-based workflows, tool invocation, or agentic systems
Familiarity with Kubernetes for container orchestration, including deploying, scaling, and managing containerized applications in production environments
Have worked in a startup or fast-paced environment with ownership
Built developer-facing SDKs/CLIs
Passion for developer experience and enabling AI adoption
Flexible working hours
Daily lunch and dinner provided; unlimited snacks and beverages
Supportive and highly collaborative work environment
Health check-up support and top-tier equipment/hardware support
A front-row seat to the generative AI infrastructure revolution
Competitive compensation, startup equity, health insurance, and other benefits.