Distyl AI

Distyl AI

Software Engineer - Back End

San Francisco

Sponsorship not specified$150k-$250kDetected 84 days ago
PythonJavaGoC++FastAPIDistributed SystemsBackend DevelopmentAWSGCPAzureCloud PlatformsKubernetesCI/CDDevOpsMachine LearningSupply ChainResearchCollaborationMentoring

About the role

  • ABOUT DISTYL AI Distyl is an applied AI technology company partnering with the world's most ambitious institutions to rearchitect critical operations for the frontier of AI.
  • As a result, Distyl's technologies affect some of the world's largest operations - from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.

Responsibilities

  • Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows. Define how AI automation integrates into traditional enterprise infrastructure.
  • Develop Cloud-Native Microservices & Scalable AI Systems: Design and build secure, high-performance backend services deployed across AWS/GCP/Azure or on-prem Kubernetes environments.
  • Build using Python, FastAPI, SQLAlchemy, Alembic, and modern DevOps tools to develop scalable, reliable AI infrastructure.
  • Optimize System Performance & Reliability: Ensure high-availability, security, and observability of AI-native workflows. Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.
  • Collaborate with Cross-Functional Teams: Partner with Forward-Deployed Engineers (FDEs), AI Researchers, and business SMEs to translate real-world operational needs into platform capabilities.
  • Build & Scale AI-Native Infrastructure: Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows.
  • Develop and refine a platform where AI builds, optimizes, and operates AI-powered workflows.
  • Implement best practices for ML/AI Ops, distributed computing, and scalable service orchestration.

Requirements

  • Travel: Ability to travel 10-20%

Nice to have

  • Proficiency in Backend & Systems Engineering.
  • Hands-on experience with Kubernetes, CI/CD, cloud platforms (AWS, GCP, or Azure), and infrastructure as code
  • Strong interest in AI-native development, leveraging tools like ChatGPT, Claude, Perplexity, and Cursor in engineering workflows
  • Experience with security, distributed systems, storage, ML/AI Ops, and large-scale observability is a plus

Skills

  • Advocate for strong software engineering and DevOps practices, driving high coding standards and scalable architectures.

Compensation

  • The base salary range for this role is $150K - $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package

Benefits

  • In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package
  • 100% coverage of medical, dental, and vision insurance for employee and dependents
  • Flexible time off
  • Retirement and financial planning benefits, including access to pre-tax HSA, FSA, and commuter accounts, 401(k), and financial coaching resources

Company info

  • a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.
  • We are hiring multiple roles across different levels of seniority (3-10+ years of software engineering experience)
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This listing is sourced directly from Distyl AI's careers page and normalized into a canonical job model.