Software Engineer, Enterprise
Core
Build core infrastructure and scalable backend systems that power enterprise Generative AI products, enabling production-grade reliability and performance for large-scale AI deployments.
Role type
Senior Backend Engineer (GenAI Infrastructure)
Builds
Scalable APIs, distributed data systems, and deployment pipelines for enterprise GenAI workloads
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python, TypeScript, Distributed Systems, Cloud Infrastructure (AWS/Azure), Kubernetes, Docker, Terraform, PostgreSQL, DynamoDB, CI/CD, Observability
Preferred skills
GenAI application experience, Model integration, Multi-cloud environments
Technologies
FastAPI, Flask, Express, NestJS, AWS, Azure, GCP, Kubernetes, Docker, Terraform, PostgreSQL, DynamoDB
Responsibilities
Design and scale backend systems for enterprise GenAI products; Develop core services and APIs integrating AI models and enterprise data; Architect scalable distributed systems for data processing and inference; Optimize backend performance for latency, throughput, and cost; Manage and evolve cloud infrastructure with automation and security; Collaborate with ML and product teams to deploy GenAI models; Improve reliability and scalability of AI systems.