Atos

Compensation

Full Description

• 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