Senior Full Stack Developer

November 27

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CoLab Software

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Software • Productivity • Enterprise

CoLab Software is a company focused on improving the design collaboration process for engineering teams. They provide tools that facilitate efficient CAD reviews and automate issue tracking, helping teams design better products faster. CoLab integrates with major PLM and CAD systems and supports a variety of use cases including supplier collaboration, cost reduction, new product development, and design for manufacturability. Their platform, featuring tools such as ReviewAI, enables users to generate feedback, collaborate in real-time, and capture performance data to drive continuous improvement. CoLab aims to streamline design processes, reduce decision-making errors, and enhance product quality.

51 - 200 employees

⚡ Productivity

🏢 Enterprise

📋 Description

• Build and maintain user-facing features and APIs that integrate LLM and ML capabilities • Design and scale backend systems to support vector search, agent workflows, and human-AI collaboration • Collaborate closely with product and design to shape intelligent, intuitive user experiences • Prototype, prompt, and evaluate LLM solutions using tools like OpenAI, Anthropic, and Hugging Face • Mentor teammates through code reviews, design sessions, and paired debugging • Contribute to technical direction and best practices across the stack • Measure and optimize performance and reliability at scale

🎯 Requirements

• 5+ years full-stack development experience • Proficient in Python and its libraries, with hands-on experience in designing, developing, and maintaining robust and scalable APIs. • Proficient in React, TypeScript and front-end tools such as Webpack, Vite, npm and ESLint • Hands-on experience with relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g.: DynamoDB), vector databases (e.g., OpenSearch, Pinecone, FAISS) and querying frameworks/APIs (e.g.: SQLAlchemy). • Experience writing robust automated tests, including unit, as well as end-to-end (E2E) tests using Cypress or Playwright. • AI/ML Experience: • Libraries: PyTorch, Hugging Face, Scikit-Learn • Agent workflows: pydantic-ai • Experience integrating and prompting large language models (LLMs) via APIs (e.g., OpenAI, Anthropic, Google Gemini) • Experience working with ML services in the cloud infrastructure, e.g. Sagemaker, Bedrock, etc. • Solid Git workflow knowledge and test-driven development practices • Self-directed, curious, and collaborative • GraphQL experience • Familiarity with observability tools (e.g., DataDog, Retool)

🏖️ Benefits

• Extended health and dental • RRSP matching • Unlimited paid vacation