Company: KPMG India
Salary: $80,000 - $100,000
Type: Onsite
Employment: Full Time
Description: Mandatory Skills Overall experience of 4+ years using Python with API development and 2+ years of experience in integrating LLM Hands-on experience in developing RESTful APIs and WebSockets using Python frameworks preferably using FastAPI/Flask Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data processing Hand-on experience in designing. implementing and deploying micro service architecture based application Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliabilityl9iu Stay updated with industry trends and best practices in backend development. Leverage GenAI libraries like LangChain, LangGraph, CrewAI, AutoGen etc to build Agentic AI Applications Integrate various LLM like Gemini, OpenAI, Claude etc. Experience in implementing RAG based architecture Monitor and optimize the performance of application Good to Have Skills Experience in containerizing the application and hosting on Kubernetes Ability to fine-tune base LLM Experience in setting up data pipelines for model training and real-time inference Experience with Azure/AWS/GCP Cloud Primary Roles and Responsibilities The role is responsible for designing, building, and maintaining the AI integrated Python Application. This includes creating Enterprise APIs and containerizing the application. Collaborate with a cross-functional team to design, develop, and implement web applications using React, Python, Flask/Django, SQL, Azure OpenAI, and RAG implementation - Azure Open AI. Write clean, maintainable, and well-documented code. Conduct code reviews and provide constructive feedback to other developers. Troubleshoot and fix bugs in existing applications. Optimize application performance and ensure scalability. Collaborate with UX/UI designers to implement visual elements and enhance user experience. Keep up to date with industry trends and best practices in web development. Preferred Skills Experience working in Cloud environment with tools such as Microsoft Visual Studio Code. Mandatory Skills Overall experience of 4+ years using Python with API development and 2+ years of experience in integrating LLM Hands-on experience in developing RESTful APIs and WebSockets using Python frameworks preferably using FastAPI/Flask Implement event-driven architectures (e.g., Kafka, Pub/Sub) for low-latency data processing Hand-on experience in designing. implementing and deploying micro service architecture based application Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliabilityl9iu Stay updated with industry trends and best practices in backend development. Leverage GenAI libraries like LangChain, LangGraph, CrewAI, AutoGen etc to build Agentic AI Applications Integrate various LLM like Gemini, OpenAI, Claude etc. Experience in implementing RAG based architecture Monitor and optimize the performance of application Good to Have Skills Experience in containerizing the application and hosting on Kubernetes Ability to fine-tune base LLM Experience in setting up data pipelines for model training and real-time inference Experience with Azure/AWS/GCP Cloud Primary Roles and Responsibilities The role is responsible for designing, building, and maintaining the AI integrated Python Application. This includes creating Enterprise APIs and containerizing the application. Collaborate with a cross-functional team to design, develop, and implement web applications using React, Python, Flask/Django, SQL, Azure OpenAI, and RAG implementation - Azure Open AI. Write clean, maintainable, and well-documented code. Conduct code reviews and provide constructive feedback to other developers. Troubleshoot and fix bugs in existing applications. Optimize application performance and ensure scalability. Collaborate with UX/UI designers to implement visual elements and enhance user experience. Keep up to date with industry trends and best practices in web development. Preferred Skills Experience working in Cloud environment with tools such as Microsoft Visual Studio Code. B. TECH/BE or higher
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