Orchestrate multimodal workflows with Go microservices for AI generations.
Performance engineering: optimize ConnectRPC and Kafka/SQS pipelines.
Build the Creative Engine: backend logic for multimodal orchestration.
Data & Infrastructure: manage data throughput with AWS and high-perf storage.
Collaborate with AI researchers: bridge model outputs to a polished One Person Studio UX.

🎯 Requirements

Advanced Go engineering: scale Go services in high-traffic SaaS.
Distributed systems: Kafka/SQS async processing; low-latency RPC (gRPC/GraphQL).
Cloud architecture: AWS (EKS, S3, Lambda) and compute management.
Product rigor: building professional-grade creative tools.
Software best practices: code reviews, testing, observability.
Nice to have: media processing, AI infra, entrepreneurial mindset.

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