Full Stack Engineer

7 days ago


Mysuru, India COZZERA INTERNATIONAL LLP Full time

Position: Full Stack Engineer (ReAct, Python, AWS, LLM APIs) Experience: 5+ Years Location: Remote – India Shift: 2 PM – 11 PM IST We are seeking a highly skilled Full Stack Engineer with strong expertise in React (ReAct pattern), Python backend development, AWS cloud services, and SQL . You will build scalable, high-performance, cloud-native applications while integrating frontier LLM APIs into modern workflows. This is a hands-on engineering role where you’ll work across the entire stack — from UI/UX to backend services, cloud infrastructure, and AI-driven features. Key Responsibilities Develop high-performance frontend applications using React with modern patterns and architecture. Build scalable backend services using Python (FastAPI / Flask / Django) . Design and optimize SQL queries and schemas in RDS databases (PostgreSQL/MySQL). Deploy and manage services on AWS EC2, RDS, S3, API Gateway, Lambda . Integrate frontier LLM APIs (OpenAI, Anthropic, Gemini, Llama APIs) into product features. Build reusable components, APIs, and microservices with secure coding best practices. Work with CI/CD pipelines, Git workflows, and cloud-native deployment patterns. Collaborate with product, design, and AI teams to ship features end-to-end. Ensure performance, reliability, scalability, and observability across services. Write clean, maintainable, and well-documented code following best practices. Required Skills 5+ years of experience as a Full Stack Engineer. Strong hands-on experience with React (hooks, context, component design, state management). Expertise in Python backend frameworks and API development. Strong SQL skills: schema design, query optimization, indexing. Deep knowledge of AWS EC2, RDS, S3, IAM, VPC . Experience working with frontier LLM APIs (OpenAI, Claude, Gemini, Llama). Understanding of modern architectural patterns: MVC, microservices, event-driven systems. Strong debugging and performance optimization skills. Nice to Have Experience with serverless (AWS Lambda). Familiarity with LangChain, LlamaIndex, or vector DBs. Docker and Kubernetes experience. Experience with authentication frameworks (OAuth2, JWT). Knowledge of caching systems (Redis). Soft Skills Excellent communication and remote collaboration skills. Ability to work independently and own features end-to-end. Problem-solving mindset with attention to detail. Strong adaptability to AI-first development workflows


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