About this role
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