Remote Full-Stack Engineer — Decentralized AI Platform & Infra
Kubelt
San Francisco (CA)
Hybrid
USD 120,000 - 160,000
Full time
14 days+
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Benefits offered by this job
Competitive compensation with equity and token incentives
Flexible work arrangement
Full visa sponsorship and relocation support
Professional development budget
Job summary
Kubelt is seeking a skilled developer to build and enhance their decentralized AI development platform in San Francisco. This hybrid role involves working on the developer platform for AI workload management and the underlying distributed infrastructure. Successful candidates will have strong skills in Python, modern frontend development, and systems programming with Rust, alongside a passion for democratizing AI. The position offers competitive compensation, flexibility in work arrangement, and professional development opportunities.
Qualifications
5+ years of experience in software engineering or a related field.
Strong understanding of distributed systems and AI infrastructure.
Experience with real-time systems and observability tools.
Responsibilities
Develop and maintain the AI workload management platform.
Design and manage distributed training infrastructure.
Implement monitoring and debugging tools for system performance.
Skills
Strong Python backend development (FastAPI, async)
Modern frontend development (TypeScript, React/Next.js, Tailwind)
Systems programming experience with Rust
Infrastructure automation (Ansible, Terraform)
Container orchestration (Kubernetes)
Tools
GCP (Google Cloud Platform)
Prometheus
Grafana
Job description
Kubelt is seeking a skilled developer to build and enhance their decentralized AI development platform in San Francisco. This hybrid role involves working on the developer platform for AI workload management and the underlying distributed infrastructure. Successful candidates will have strong skills in Python, modern frontend development, and systems programming with Rust, alongside a passion for democratizing AI. The position offers competitive compensation, flexibility in work arrangement, and professional development opportunities.