Experience : 8 - 17 Yrs
Work Mode : Hybrid
Mandatory Skills : Python, Fast API, AWS, SDK, React.JS, Gen AI, Langchain, RAG, Docker and CI / CD.
About The Role
We are looking for a highly skilled Python Full-Stack Engineer with strong backend expertise in Python, FastAPI, and AWS, along with exposure to modern GenAI technologies. The ideal candidate has hands-on experience in system design, design patterns, and scalable architecture.
Mandatory Skills
- Strong Python development experience (8+ years).
- Deep understanding of OOP concepts and software design patterns.
- Hands-on experience with FastAPI for building RESTful / async backend services.
- Proficiency in AWS deployment, cloud-native architectures, and DevOps workflows.
- Hands-on experience with containerization (Docker, Kubernetes).
- Experience building or integrating SDKs.
- Understanding of RAG workflows, embeddings, vector databases.
- Experience in scalable system architecture and design.
Key Responsibilities
Design, develop, and maintain robust and scalable backend services using Python and FastAPI.Implement OOPs principles and design patterns for high-quality, maintainable code.Lead the technical design, architecture discussions, and decision-making for complex systems.Build and integrate SDKs, APIs, and microservices.Own deployment workflows and CI / CD pipelines on AWS.Contribute to front-end features using ReactJS (good-to-have).Develop and deliver GenAI / LLM-based atleast 2 POCs, leveraging modern AI tools and technologies.Experience or willingness to work with RAG (Retrieval Augmented Generation), semantic search, vector stores, and frameworks like LangChain.Provide technical leadership, mentor team members, and drive best engineering practices.Collaborate cross-functionally with product managers, architects, and stakeholders.Skills : rag,design patterns,restful apis,gen ai,fastapi,react.js,aws,docker,python,semantic analysis,architecture,poc,sdk,lang chain,kuberbetes
Skills Required
Docker, FastAPI, react.js , Python, Aws