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About the Role

We are 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 will own the customer experience end-to-end, from signing up and authentication to billing and the user interface. This role involves close collaboration with product, infrastructure, and design teams to create high-performance, developer-friendly, and enterprise-ready tools. The ideal candidate is a hands-on engineer eager to work across authentication, access control, billing, usage, and model deployment features, with experience in backend systems where correctness is critical and a passion for developer workflows and the future of AI adoption.

Responsibilities

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

Requirements

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
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

Skills

Python
TypeScript
React/Next.js
FastAPI
PostgreSQL
gRPC
REST
GraphQL
Cloud-native development
OpenTelemetry
Stripe
SAML
SCIM provisioning
Auth0/WorkOS
LLM-based workflows
Tool invocation
Agentic systems
Kubernetes
Developer-facing SDKs/CLIs

Experience Level

4+ years of industry experience

Education Level

Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent

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 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.