Job Description

Supio is 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.

Responsibilities

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

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.

Benefits

• No benefits