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- Design, develop, and maintain scalable fullstack applications using JavaScript, TypeScript, React, and Node.js
- Build and integrate RESTful APIs, ensuring robust data flow and security
- Develop backend services using Python and FastAPI, optimized for performance and scalability
- Implement and manage CI/CD pipelines for automated testing and deployment
- Containerize applications using Docker and orchestrate them with Kubernetes on Azure Kubernetes Service (AKS)
- Work with SQL databases and Cosmos DB for structured and unstructured data storage
- Integrate and fine-tune LLM-based applications using Azure OpenAI, Prompt Engineering, and Embeddings
- Implement Retrieval-Augmented Generation (RAG) patterns using Vector DBs for enhanced contextual responses
- Evaluate model performance and optimize inference pipelines for production readiness
- Leverage Azure AI Search and Azure ML for intelligent search and machine learning workflows
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Maintain code quality and version control using Git, and participate in code reviews
Requirements
Technical Skills
- Proficiency in JavaScript, TypeScript, React, Node.js
- Strong backend development experience with Python and FastAPI
- Hands-on experience with REST APIs, SQL, Docker, Kubernetes, and Git
- Familiarity with CI/CD tools and cloud-native deployment practices
- Experience building and deploying LLM-powered applications
- Knowledge of Prompt Engineering, Embeddings, Vector Databases, and RAG
- Exposure to Azure OpenAI, Azure AI Search, Azure ML, Cosmos DB, and AKS
Soft Skills
- Strong problem-solving and analytical abilities
- Excellent communication and collaboration skills
- Ability to work in a fast-paced, agile environment
Preferred Qualifications
- Experience with model evaluation and optimization techniques
- Prior work on production-grade AI applications
- Contributions to open-source AI or ML projects
Key Skills
Ranked by relevance
ai
machine learning
kubernetes
cloud
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- Posted
- Oct 09, 2025
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Toronto
- Company
- Atos
Industries
IT Services
IT Consulting
Categories
Information Technology
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