Senior Python Backend / AI Engineer

About the job

We are seeking an experienced Senior Python Backend / AI Engineer to design, develop, and scale high-performance backend systems and AI-driven solutions. The ideal candidate will have strong expertise in Python-based frameworks, cloud-native architectures, and modern AI/LLM technologies, with a proven ability to build distributed, scalable applications on Azure. Key Responsibilities • Design, develop, and maintain robust backend services using FastAPI, Django, and Flask • Build and optimize microservices-based architectures with scalable and fault-tolerant designs • Develop data processing and analytics solutions using Pandas, NumPy, SciPy, and Scikit-learn • Implement LLM/AI solutions including LangChain, RAG (Retrieval-Augmented Generation), and Vector Databases • Design and manage NoSQL data models using Azure Cosmos DB • Develop distributed and asynchronous systems for high-throughput applications • Containerize applications using Docker and orchestrate deployments with Kubernetes (AKS) • Build and maintain CI/CD pipelines using Git and Azure DevOps tools • Monitor and troubleshoot applications using Azure Monitor and Application Insights • Collaborate with cross-functional teams to define system architecture, performance benchmarks, and security standards • Ensure best practices in code quality, scalability, performance, and reliability Required Skills & Qualifications • 8+ years of experience in Python backend development • Strong hands-on experience with FastAPI, Django, and/or Flask • Solid experience in Azure Cloud and cloud-native application development • Expertise in Microservices Architecture, Docker, and Kubernetes (AKS) • Strong understanding of Distributed Systems and Asynchronous Programming • Experience working with Cosmos DB and NoSQL databases • Hands-on experience with LLMs, LangChain, RAG, and Vector Databases • Proficiency in CI/CD, Git, and DevOps best practices • Experience with application monitoring and observability tools Good to Have • Exposure to AI/ML model deployment and optimization • Experience with event-driven architectures • Knowledge of security best practices in cloud and microservices environments Why Join Us? • Work on cutting-edge AI and cloud-native solutions • Opportunity to architect and scale enterprise-grade systems • Collaborative and innovation-driven work culture • Hybrid work flexibility.

Requirements

• Python
• FastAPI
• Django
• AI
• Azure

Preferred Technologies

• Python
• FastAPI
• Django
• AI
• Azure

Benefits

• Work on cutting-edge AI and cloud-native solutions
• Opportunity to architect and scale enterprise-grade systems
• Collaborative and innovation-driven work culture
• Hybrid work flexibility.