Platform Engineer – LLM Infrastructure & Backend Systems
Skills
- Backend development experience using Python, TypeScript, or Node.js.
- Hands-on experience with production PyTorch models, model checkpoints, and inference logic.
- Strong knowledge of scalable, stable, and secure API and service building.
- Familiarity with FastAPI, Postgres, Redis, Kubernetes, and React.
- Passion for bridging backend engineering with ML systems, especially infrastructure.
Responsibilities
- Build and maintain backend services for LLM integration, inference orchestration, and data flow.
- Write clean, reliable Python code for model integration and production systems.
- Collaborate with ML researchers to iterate rapidly on product features.
- Design and implement infrastructure for scalable inference workloads and enterprise use cases.
- Own system components ensuring reliability, observability, and maintainability.
Education
- Relevant degree in Computer Science, Engineering, or related field preferred.
Benefits
- Diverse medical, dental, and vision insurance options.
- 401k matching program.
- Unlimited paid time off.
- Parental leave and flexibility for parents and caregivers.
- Support for country-specific visa needs for international employees.
Average salary estimate
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