Senior Software Engineer - Back End

SupioSeattle, WA
75d$180,000 - $220,000

About The Position

We are seeking a dedicated Senior Software Engineers to architect and implement the backend systems powering our large language model (LLM) workflows. You'll build evaluation pipelines and feature-construction services in Python, collaborate with ML scientists to productionize models, and optimize systems for scalability and reliability. Occasional front-end work - such as lightweight UIs or dashboards - will help you navigate and monitor our environment.

Requirements

  • 6+ years of professional software development experience focusing on backend systems.
  • Expert-level Python skills; strong coding ability in application development.
  • Exposure to statistics, mathematics, and machine-learning concepts.
  • Experience building data pipelines or evaluation frameworks for ML/LLM workloads.
  • Proficiency with testing frameworks, CI/CD tools, and code-review processes.
  • Solid collaboration and communication skills in agile environments.

Nice To Haves

  • Hands-on experience with large language models or advanced AI frameworks.
  • Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Prior experience in startups or fast-paced tech settings.
  • Backend expertise in microservices, RESTful APIs, and database technologies.

Responsibilities

  • Design, build, and maintain Python-based services for LLM evaluation, data preprocessing, and feature construction.
  • Embed statistical, mathematical, and machine-learning methods into production pipelines; collaborate closely with research and data-science teams to translate prototypes into robust applications.
  • Optimize throughput and latency of backend systems; ensure high availability and fault tolerance.
  • Write comprehensive unit and integration tests; maintain CI/CD pipelines; perform code reviews and enforce best practices.
  • Partner with ML engineers, product managers, and analysts to define requirements and deliverables.
  • Create clear API documentation, system diagrams, and runbooks; implement monitoring and alerting for critical workflows.
  • Develop simple dashboards or tooling to visualize model outputs, metrics, and pipeline health.

Benefits

  • Base salary range of $180,000-$220,000 annually + equity.
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