Backend Developer-Python, GenAI

Role & Responsibilities Key Responsibilities Web Development Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database And Backend Integration Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Ideal Candidate Strong Python Backend Engineer Profile with hands-on GenAI capabilitiesMandatory (Experience 1) Must have 3+ years of experience in application development using Python (Django) with atleast 6 months of hands on experience building GenAI applications in productionMandatory (Tech skill 1) Must have strong proficiency in Python with a backend framework (Django, Flask or FastAPI) and developing/consuming RESTful APIs.Mandatory (Tech skill 2) Must have hands-on experience integrating LLMs (OpenAI GPT-4, Claude, Llama or similar) into production and orchestrating LLM workflows (LangGraph, LangChain)Mandatory (Tech skill 3) Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.Mandatory (Tech skill 4) Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.Mandatory (Tech skill 5) Must have a good understanding of software design principles, code modularity and version control (Git).Mandatory (Education) Must have a full-time B.E./B.Tech degree, with a minimum of 60% throughout (10th, 12th and B.E./B.Tech). Only B.E./B.Tech is considered; however, the 60% benchmark can be relaxed for candidates with strong technical skills (Kindly mention in resume)Mandatory (Communication) Must have good communication skills in both English and Hindi.Mandatory (Company): IT services/IT consultingMandatory (Stability)) Must have a stable career history, with a consistent tenure across previous companies; frequent job-hopping will not be considered.Preferred (Cloud) Experience with AWS, GCP or Azure.Preferred (DevOps) Familiarity with CI/CD and Git-based deployment workflows (GitHub/GitLab, Jenkins, Docker).Preferred (API Security) Familiarity with implementing API authentication and authorization mechanisms such as OAuth2, JWT, or session-based approaches. Skills: git,python,authentication,aws,gen ai,api,databases,django Role & Responsibilities Key Responsibilities Web Development Design, develop, and maintain scalable RESTful APIs using Django, Flask, or FastAPI. Build and deploy modern web applications that are performant, modular, and secure. Implement API authentication and authorization using OAuth2, JWT, or session-based approaches. Work with frontend teams to integrate APIs and ensure smooth end-to-end flows. Follow CI/CD and Git-based deployment workflows using tools like GitHub/GitLab, Jenkins, or Docker. GenAI Application Development Build intelligent applications using LangGraph and LangChain for orchestrating LLM workflows Integrate OpenAI, Anthropic, HuggingFace, or custom LLMs into production workflows. Design and optimize RAG (Retrieval Augmented Generation) pipelines using vector databases such as Pinecone, PGVector etc Database And Backend Integration Work with relational databases like PostgreSQL and MySQL. Write efficient and scalable queries for large-scale datasets. Experience with AWS/GCP/Azure is a plus. Ideal Candidate Strong Python Backend Engineer Profile with hands-on GenAI capabilitiesMandatory (Experience 1) Must have 3+ years of experience in application development using Python (Django) with atleast 6 months of hands on experience building GenAI applications in productionMandatory (Tech skill 1) Must have strong proficiency in Python with a backend framework (Django, Flask or FastAPI) and developing/consuming RESTful APIs.Mandatory (Tech skill 2) Must have hands-on experience integrating LLMs (OpenAI GPT-4, Claude, Llama or similar) into production and orchestrating LLM workflows (LangGraph, LangChain)Mandatory (Tech skill 3) Must have experience building RAG pipelines using vector databases such as Pinecone or PGVector.Mandatory (Tech skill 4) Must have experience with relational databases (PostgreSQL, MySQL) and writing efficient, scalable queries.Mandatory (Tech skill 5) Must have a good understanding of software design