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LeadFull-timePythonKubernetesDockerPostgreSQLRedisMicroservicesAIAPIML
Salary Range
$153,000 - $207,000 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are looking for a backend engineer to join GenPeach AI, a company building next-generation multimodal foundation models for creative freedom and human-centered AI experiences. This role involves building and scaling services that power ML inference and internal ML tooling, with direct impact on latency, throughput, reliability, and developer velocity.
Key Responsibilities
- →Build and own Python backend services powering ML inference and internal ML tooling
- →Design and operate high-performance async APIs (FastAPI, asyncio), deployed on Kubernetes
- →Develop and run task queues and background processing for inference and batch workloads (NATS)
- →Shape a scalable microservices architecture: service boundaries, routing, and APIs
- →Partner closely with ML engineers to productionize models: service wrapping, inference pipelines, scalability
- →Improve observability across services: logging, metrics, dashboards, alerting
- →Debug and resolve performance bottlenecks across Python, networking, and storage
- →Own services end-to-end: design → deploy → monitor → operate
Requirements
- ✓3+ years of professional backend experience with Python
- ✓Strong proficiency with FastAPI and asyncio (async programming, concurrency patterns)
- ✓Experience with PostgreSQL and Redis/Valkey in production environments
- ✓Solid understanding of microservices architecture and API design
- ✓Hands-on experience with Docker, Kubernetes, S3 storage and core DevOps practices
- ✓Ability to own services end-to-end: design, implementation, deployment, monitoring, and incident response
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