Software Engineer - Back End

Supio • Seattle, WA

75d • $135,000 - $180,000

About The Position

We are seeking a dedicated Software Engineer 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

• 3+ 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 $135,000 - $180,000 annually + equity.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Publishing Industries
• Number of Employees: 11-50 employees