ashby
Product Engineer
Collinear AI
Remote, IND
Full-time
Mid
Remote
USD 150000-300000 yearly / year
Discovered 3 weeks ago
PythonFastAPIReactNext.jsCeleryRedis
Free
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Role Overview
We are looking for a talented Product Engineer to build the scalable features, interactive environments, and user-facing capabilities. 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.
Key Skills for This Role
PythonFastAPIReactNext.jsCeleryRedis
Full Job Posting
About the Role
We are looking for a talented Product Engineer to build the scalable features, interactive environments, and user-facing capabilities. 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.
Key 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.
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