Collinear AI

Collinear AI

Product Engineer

Sunnyvale, California

Sponsorship not specifiedDetected 28 days ago
PythonReactNext.jsFastAPIBackend DevelopmentFull-Stack DevelopmentSQLNoSQLRedisCI/CDAPI DevelopmentMachine LearningData EngineeringNLPLLMsTest AutomationAdaptability

About the role

  • In this role, you will bridge the gap between high-performance backends and intuitive user experiences, allowing our customers to seamlessly configure, simulate, and analyze complex workflows.
  • Your primary focus will be on engineering robust, user-centric product features that translate advanced AI/ML capabilities into a seamless, high-performance web application.

Responsibilities

  • End-to-End Quality Ownership: Implement comprehensive automated testing strategies across the entire feature lifecycle-including rigorous unit, integration, and end-to-end (E2E) testing-to guarantee that complex simulation UI and backend states never regress.
  • Scalable Product Features: Architect, build, and maintain robust, user-facing features using Python (FastAPI) and modern frontend frameworks (React/Next.js) to deliver a seamless end-to-end user experience.
  • High-Performance Backends: Design and optimize asynchronous backend services capable of handling intensive workloads, coordinating heavy simulation tasks, and managing real-time data streaming.
  • SimLab Core Workflows: Own the execution and orchestration layer, ensuring that user-configured simulation environments and data pipelines run deterministically, resiliently, and at scale.
  • Data & State Management: Design and optimize both SQL and NoSQL data layers to manage complex user configurations, log high-volume simulation metrics, and retrieve historical telemetry data efficiently.
  • API Design & Integration: Build clean, versioned, and intuitive APIs that connect SimLab's frontend with core AI/ML orchestration engines and external data sources.
  • Product Engineering Mindset: Proven experience in a Full-Stack or Product Engineering role, with a passion for building highly interactive, reliable, and user-facing SaaS products (ideally in the developer tool, simulation, or AI space).

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

Benefits

  • Instrument deep telemetry, logging, and error-tracking across the application stack to monitor feature health in production, quickly isolating and resolving quality bottlenecks before they impact users.

Company info

  • A strong champion of clean code, comprehensive testing (TDD), CI/CD best practices, and building highly maintainable, scalable architectures.
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