Python Developer

Senior Backend Python Developer (AWS & AI) Responsibilities • Design, develop, and maintain scalable backend applications, APIs, and microservices using Python. • Build and deploy cloud-native applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, and Step Functions, Bedrock etc. • Design, develop, and maintain AI-enabled applications by leveraging Large Language Models (LLMs) and Generative AI technologies. • Integrate applications with AI platforms and services such as OpenAI, Anthropic Claude, Amazon Bedrock, and Google Gemini. • Collaborate with product owners, architects, and cross-functional teams to translate business requirements into scalable technical solutions. • Ensure application security, reliability, observability, and scalability in production environments. • Develop automated testing frameworks and participate in CI/CD implementation and deployment automation. • Conduct code reviews, enforce engineering best practices, and mentor junior developers. • Troubleshoot and resolve application, cloud infrastructure in a timely manner. • Monitor and improve application performance, cloud resource utilization. What You Will Need • Strong programming skills using Python. • 7+ years of software development experience using Python. • Strong experience building REST APIs and microservices using frameworks such as FastAPI, Flask, or Django. • Hands-on experience developing and deploying applications on AWS using services such as Lambda, ECS/EKS, API Gateway, S3, DynamoDB, RDS, SQS/SNS, IAM, CloudWatch, and Secrets Manager. • Practical experience building AI-powered applications, products, or enterprise solutions. • Experience working with Generative AI technologies, LLMs, prompt engineering, and AI application development. • Strong understanding of software architecture, distributed systems, and cloud native design principles. • Experience with relational and NoSQL databases such as PostgreSQL, MySQL, DynamoDB, MongoDB, or similar technologies. • Good to have hands-on experience with frameworks such as LangChain, LangGraph, LlamaIndex, and Model Context Protocol (MCP). • Good to have experience implementing Retrieval-Augmented Generation (RAG), vector databases, embeddings, and semantic search solutions. • Familiarity with containerization and orchestration technologies such as Docker and Kubernetes. • Experience with version control systems (Git) and CI/CD pipelines. • Experience with observability and monitoring tools. • Ability to mentor junior developers and provide technical leadership. • Excellent problem-solving skills and ability to work in a fast-paced environment. • Excellent communication and collaboration skills. Education and Experience • Bachelor’s degree in Computer Science, Information Systems, Information Technology, Engineering, or a related discipline, or equivalent practical experience. • 7+ years of software development experience using Python. • 3+ years of experience building and deploying cloud-native applications on AWS. • Hands-on experience designing and delivering production-grade AI-enabled applications and products.