Software Engineer, Enterprise
Core
Building 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 (Infrastructure & GenAI)
Builds
Scalable APIs, distributed data systems, and deployment pipelines for Generative AI workloads.
Domain
Enterprise AI / Generative AI / Cloud Infrastructure
Deliverable
production ML models
Required skills
Python or TypeScript, distributed systems design, cloud infrastructure (AWS/Azure), container orchestration (Kubernetes/Docker), Infrastructure-as-Code (Terraform), relational and NoSQL databases, GenAI model integration and deployment, observability, CI/CD pipelines.
Preferred skills
Experience with FastAPI, Flask, Express, or NestJS; multi-cloud environments; hybrid cloud architectures.
Technologies
AWS, Azure, Kubernetes, Docker, Terraform, PostgreSQL, DynamoDB, FastAPI, Flask, Express, NestJS.
Responsibilities
Design, build, 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 bring GenAI models into production.
Seniority
Senior, hands-on IC