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.
Responsibilities
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.