Full stack engineer

About The Role

RadixArk is building the infrastructure layer for frontier AI systems - unified inference, training, and evaluation stacks powering next-generation LLM applications at scale. Our platform integrates high-performance model serving, RL pipelines, and large-scale distributed systems across GPUs, TPUs, and emerging accelerators. We work at the intersection of systems engineering, AI research, and developer experience. We are looking for a world-class Full Stack Engineer who thrives in high-ambiguity environments and wants to build foundational tools for the next decade of AI.

Requirements

Technical Excellence

4+ years of professional full stack engineering experience

Based in Palo Alto, CA (Hybrid) / Remote (U.S.)

Deep experience in:

Frontend: React / Next.js / TypeScript

Backend: Python (FastAPI / Django) or Node.js

RESTful and/or gRPC API design

Strong understanding of distributed systems concepts

Experience building systems that handle real-time streaming or high-throughput workloads

Strong database design skills (Postgres, Redis, etc.)

Familiarity with containerized environments (Docker, Kubernetes)

Strong software engineering fundamentals: testing, CI/CD, version control, design reviews

Bonus (High Impact)

Experience building developer tools or infrastructure platforms

Experience in ML infrastructure, model serving, or AI tooling

Familiarity with observability stacks (Prometheus, Grafana, OpenTelemetry)

Experience with WebSockets or streaming architectures

Performance optimization at scale

Experience building internal platforms used by engineers

Responsibilities

You will own end-to-end product surfaces across our developer platform:

Design and implement high-performance web applications for AI infrastructure tooling

Build scalable backend systems that interact with distributed inference and training services

Architect APIs and service layers that serve enterprise and research customers

Develop observability dashboards, experiment tracking UIs, and performance analytics tools

Optimize real-time streaming interfaces for model inference workflows

Work closely with ML engineers and infra teams to expose complex systems through intuitive product surfaces

Lead architectural decisions for frontend-backend communication, state management, and performance tuning

Ship production-grade features in fast iteration cycles

You will not just "write UI."

You will build the control plane for frontier AI systems.

Your work will directly power:

Large-scale LLM inference systems

Reinforcement learning training platforms

Evaluation and experimentation frameworks

Developer-facing AI infrastructure products

This is not CRUD dashboard engineering.

This is building the operating system for AI builders.

About RadixArk

RadixArk is building the infrastructure layer for frontier AI systems - unified inference, training, and evaluation stacks powering next-generation LLM applications at scale.

Our platform integrates high-performance model serving, RL pipelines, and large-scale distributed systems across GPUs, TPUs, and emerging accelerators. We work at the intersection of systems engineering, AI research, and developer experience.

Compensation

Competitive base salary

Meaningful equity ownership

Full benefits

Access to top-tier AI tooling (enterprise Claude, Codex, etc.)

Work alongside world-class AI systems engineers

Equal Opportunity

Competitive salary and equity package.

Work with a world-class team from xAI, Google, and leading research labs.

Directly impact the future of open AI infrastructure.

The most compelling perk in Silicon Valley isn't 401(k) matching.

It's working on systems that define the next computing paradigm.

If you want to build the infrastructure layer behind frontier AI - and ship fast - we want to talk.