The role involves architecting and building core backend systems for a highly scalable media intelligence platform that processes large volumes of multimedia content
Job Summary
The role involves architecting and building core backend systems for a highly scalable media intelligence platform that processes large volumes of multimedia content.
Candidates will lead the optimization of AI/ML inference workflows to ensure low latency, high throughput, and cost efficiency across real-time and batch processing paths.
The team is a global talent powerhouse working remotely, offering an opportunity to collaborate with top minds in the fintech space on innovative digital finance solutions.
Matching Summary
The role involves architecting and building core backend systems for a highly scalable media intelligence platform that processes large volumes of multimedia content.
Skills & Requirements
Must-have
5-7+ years backend engineering experience
3+ years AI/ML inference integration
Python or Node.js expertise
Distributed system architecture design
Vector search and semantic retrieval
Media processing pipeline development
Cloud infrastructure deployment (AWS/GCP/Azure)
Nice-to-have
Experience mentoring junior engineers
Knowledge of vLLM or Triton model serving
Background in fintech or blockchain
Familiarity with PyTorch and TensorFlow
Experience with HuggingFace transformers
Key Requirements
Bachelor's degree in Computer Science or equivalent
5-7+ years of backend engineering experience
3+ years integrating AI/ML into production workflows