Backend Developer – Python

As a highly skilled Python Backend Engineer, your role will involve developing, optimizing, and maintaining backend services using Python and FastAPI. You will be applying OOPs principles and design patterns to build clean, scalable, and reusable code. Your responsibilities will include deploying and managing backend applications on AWS using SDKs and cloud services. Additionally, you will build and integrate GenAI components, implement RAG pipelines with semantic search, LangChain, embeddings, and vector stores, and collaborate with cross-functional teams to design APIs and ensure high-quality deliverables.

Key Responsibilities:
– Develop, optimize, and maintain backend services using Python and FastAPI.
– Apply OOPs principles and design patterns to build clean, scalable, and reusable code.
– Deploy and manage backend applications on AWS using SDKs and cloud services.
– Build and integrate GenAI components, including 2+ POCs or hands-on projects.
– Implement RAG pipelines with semantic search, LangChain, embeddings, and vector stores.
– Collaborate with cross-functional teams to design APIs, integrate services, and ensure high-quality deliverables.

Qualifications Required:
– Strong programming skills with expertise in Python.
– Excellent understanding of OOPs concepts and design patterns.
– Experience with FastAPI and building production-ready APIs.
– AWS deployment experience (SDK, Lambda, EC2 S3 etc.).
– Hands-on exposure to GenAI, RAG, semantic search, and LangChain.

In addition to the technical qualifications mentioned above, it is beneficial to have exposure to Generative AI, RAG pipelines, and semantic search. As a highly skilled Python Backend Engineer, your role will involve developing, optimizing, and maintaining backend services using Python and FastAPI. You will be applying OOPs principles and design patterns to build clean, scalable, and reusable code. Your responsibilities will include deploying and managing backend applications on AWS using SDKs and cloud services. Additionally, you will build and integrate GenAI components, implement RAG pipelines with semantic search, LangChain, embeddings, and vector stores, and collaborate with cross-functional teams to design APIs and ensure high-quality deliverables.

Key Responsibilities:
– Develop, optimize, and maintain backend services using Python and FastAPI.
– Apply OOPs principles and design patterns to build clean, scalable, and reusable code.
– Deploy and manage backend applications on AWS using SDKs and cloud services.
– Build and integrate GenAI components, including 2+ POCs or hands-on projects.
– Implement RAG pipelines with semantic search, LangChain, embeddings, and vector stores.
– Collaborate with cross-functional teams to design APIs, integrate services, and ensure high-quality deliverables.

Qualifications Required:
– Strong programming skills with expertise in Python.
– Excellent understanding of OOPs concepts and design patterns.
– Experience with FastAPI and building production-ready APIs.
– AWS deployment experience (SDK, Lambda, EC2 S3 etc.).
– Hands-on exposure to GenAI, RAG, semantic search, and LangChain.

In addition to the technical qualifications mentioned above, it is beneficial to have exposure to Generative AI, RAG pipelines, and semantic search.