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Distyl AI

Software Engineer - Back End

San Francisco (Remote)$150k–$250kfulltimemidAdded 1 month ago

About this role

Distyl AI seeks backend software engineers to build and scale Distillery, an AI-native platform powering enterprise workflows for Fortune 500 companies. You'll develop cloud-native microservices, optimize AI infrastructure reliability, and collaborate with cross-functional teams to solve complex AI deployment challenges.

What you'll do

  • Design and build scalable AI-native infrastructure where AI automates and optimizes enterprise workflows
  • Develop secure, high-performance backend services using Python, FastAPI, and SQLAlchemy on Kubernetes environments
  • Ensure system reliability, security, and observability across distributed AI-powered systems
  • Collaborate with Forward-Deployed Engineers and AI Researchers to translate operational needs into platform features
  • Implement best practices for ML/AI Ops and distributed computing at scale

What they're looking for

  • Python, Java, Golang, or C++
  • Kubernetes and container orchestration
  • Cloud platforms (AWS, GCP, Azure)
  • CI/CD pipelines and infrastructure as code
  • Distributed systems and microservices architecture
  • ML/AI Ops and observability tools
  • Database design (SQLAlchemy, Alembic)
  • AI-native development practices

Benefits

  • Salary range $150K–$250K plus equity
  • 100% medical, dental, and vision coverage for employees and dependents
  • 401(k) with commuter benefits and in-office lunch
  • Access to state-of-the-art AI models and modern development tools
  • Ownership of high-impact projects across enterprise clients
  • Hybrid work (3+ days/week in-office in San Francisco or New York)
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Distyl AI

Distyl AI builds Distillery, an AI-native platform that powers enterprise workflows for Fortune 500 companies across industries like telecom, healthcare, and insurance. The company is hiring backend engineers, forward-deployed AI engineers, and evaluation engineers to develop scalable cloud infrastructure, deploy production AI systems, and build evaluation frameworks that drive continuous improvement.

View all jobs at Distyl AI

Likely interview questions

  • Can you walk us through your experience building and deploying microservices in production? What cloud platforms have you worked with, and how did you handle scaling?
  • Describe your experience with Python and FastAPI. Have you built high-performance APIs that needed to handle significant load?
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