Full Stack Developer, Python, React, Azure, AI/ML

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September 24

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Blanc Labs

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B2B • Finance • SaaS

Blanc Labs is a full-service technology consulting firm focused on helping clients realize their full potential through the creative use of technology. They specialize in digital transformation, technology strategy and implementation, API management, AI, analytics, and automation. Their services include systems integration and business process improvement, especially in the financial services and healthcare sectors. Blanc Labs partners with industry leaders to enable innovative customer experiences and achieve measurable business outcomes, with a strong presence in the Canadian market.

51 - 200 employees

🤝 B2B

💸 Finance

☁️ SaaS

💰 Venture Round on 2016-12

📋 Description

• Design, develop, and maintain backend services using Python. • Build responsive and dynamic frontend applications using React, Vite, and TypeScript. • Architect and deploy cloud-native applications on Microsoft Azure. • Design and manage relational databases, primarily PostgreSQL. • Collaborate on LLM development and integrate AI capabilities into applications. • Develop and optimize AI agent workflows using tools like LangChain and LangGraph. • Implement and maintain CI/CD pipelines for automated testing and deployment. • Develop applications using Docker and orchestrate them with Kubernetes. • Work with GraphQL APIs for efficient data querying and manipulation. • Collaborate with cross-functional teams, including data scientists and ML engineers.

🎯 Requirements

• Strong proficiency in Python for backend development. • Solid experience with React, Vite, and TypeScript. • Hands-on experience with Azure Cloud Services (e.g., Functions, App Services, AI Foundry, etc.). • Proficiency in PostgreSQL and relational database design. • Familiarity with LLM development and AI integration workflows. • Understanding of LangChain, LangGraph, or similar frameworks is a plus. • Experience with CI/CD tools (e.g., GitHub Actions, Azure DevOps). • Knowledge of Docker and Kubernetes for container orchestration. • Exposure to GraphQL and its ecosystem. • Background in Data Science or Machine Learning is advantageous.