Software Engineer - Full Stack

The role

You will design, build, and scale a web platform for deploying multimodal models, observing workloads, and building agent workflows. You will own the end-to-end customer experience including authentication, organization management, and billing.

What you will do

• 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

Required qualifications

• 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

Nice to have

• 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

Benefits

• Flexible working hours
• Daily lunch and dinner provided
• unlimited snacks and beverages
• Supportive and highly collaborative work environment
• Health check-up support
• top-tier equipment/hardware support
• A front-row seat to the generative AI infrastructure revolution
• Competitive compensation
• startup equity
• health insurance

About the company

FriendliAI is the fastest inference cloud for agents, built to run frontier open-weight models at scale in production. It is a small, fast-moving team building a platform with a world-class inference stack.