Responsibilities:

· Design, develop, test and maintain robust and scalable backend applications using Flask/ Django delivering high performance APIs.

· Experienced Python Developer with experience in integrating ML workflows.

· Familiarity with advanced Python frameworks, libraries, and development tools.

· Design, develop, and deploy Generative AI applications using LLMs (GPT-4, Claude, Gemini, open-source models) for enterprise use cases

·  Build and orchestrate multi-agent systems using frameworks like LangGraph, LangChain, CrewAI, or AutoGen with function calling and tool use

· Implement Retrieval-Augmented Generation (RAG), Graph RAG, and hybrid retrieval pipelines using vector databases (Pinecone, Weaviate, Chroma, pgvector)

· Integrate third-party APIs and services

· Optimize applications for maximum speed and scalability

Mandatory skill sets:

• Strong proficiency in Python 3.x & ML Frameworks PyTorch, TensorFlow, Scikit-learn, XGBoost; fine-tuning (LoRA / QLoRA / PEFT)

•  Integrate with various databases (e.g., Cosmos DB,) and message queues (e.g., Kafka, eventhub) for seamless backend operations.

•  Experience in one or more Python frameworks (Django, Flask, FastAPI)

• Develop and maintain unit and integration tests using frameworks like pytest and unit test to ensure code quality and reliability.

• Experience with Docker, Kubernetes, and cloud environments (AWS, GCP, or Azure) for deploying and managing Python services.

• Familiarity with asynchronous programming (e.g., asyncio, aiohttp) and event-driven architectures.

•  Strong skill in PySpark for large-scale data processing will get priority.

• Solid understanding of Object-Oriented Programming and design principles

•  Proficient in using version control systems like Git

• Must have:

Python, Python frameworks (Django, Flask, or FastAPI), RESTful APIs, relational and NoSQL databases, Knowledge of DevOps practices, CI/CD pipelines, and containerization (Docker, Kubernetes)

Preferred skill sets:

RESTful API design and implementation, testing tools: pytest or similar, understanding of microservices architecture and distributed systems, Exposure to machine learning frameworks like Scikit-learn, PyTorch, TensorFlow.

Years of experience required:

5-8years

Education qualification:

       BTEC/MTEC/MCA degree in computer science/electrical/ETCE