Core Technical ResponsibilitiesThis hybrid role spans across our AI platform software engineering and infrastructure. You'll be instrumental in:
Platform Development- Build intuitive web interfaces for AI workload management and monitoring
- Develop REST APIs and backend services in Python
- Create real-time monitoring and debugging tools
- Implement user-facing features for resource management and job control
Infrastructure Development, Automation & Reliability- Design and implement distributed training infrastructure in Rust
- Build high-performance networking and coordination components
- Create infrastructure automation pipelines with Ansible
- Manage cloud resources and container orchestration
- Implement scheduling systems for heterogeneous hardware (CPU, GPU, TPU)
Backend & Feature Development- New Feature Engineering: Collaborate with the engineering team to design and implement backend features.
- API and Service Development: Enhance our platform's REST APIs and backend services to support new capabilities and improve overall performance.
- System Integration: Ensure seamless integration of new features into our existing infrastructure, maintaining high reliability and security standards.
Development & Infrastructure Skills- Backend Engineering: Proficiency in Python for developing automation scripts, REST APIs, and backend support tools.
- Container & Cloud Technologies: Hands-on experience with Kubernetes and cloud platforms (GCP preferred).
Technical RequirementsPlatform Skills- Strong Python backend development (FastAPI, async)
- Modern frontend development (TypeScript, React/Next.js, Tailwind)
- Experience building developer tools and dashboards
- RESTful API design and implementation
Infrastructure Skills- Systems programming experience with Rust
- Infrastructure automation (Ansible, Terraform)
- Container orchestration (Kubernetes)
- Cloud platform expertise (GCP preferred)
- Observability tools (Prometheus, Grafana)
Nice to Have- Experience with GPU computing and ML infrastructure
- Knowledge of AI/ML model architecture and training
- High-performance networking implementation
- Open-source infrastructure contributions
- WebSocket/real-time systems experience
Growth OpportunityYou'll join a team of experienced engineers and researchers working on cutting-edge problems in AI infrastructure. We believe in open development and encourage team members to contribute to the broader AI community through research and open-source contributions.
We value potential over perfection - if you're passionate about democratizing AI development and have experience in either platform or infrastructure development (ideally both), we want to talk to you.
