Junior Python Developer

Manager - Python with Gen AI

Job Requirements

Total Experience: 10+ years

Responsibilities:

• Collaborate with product owner and cross-functional teams to translate business goals into GenAI based solution
• 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
• Implement best practice related to code version control, integration testing, build and deployment using GitHub Actions
• Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliability
• Conduct code reviews, offering constructive feedback to improve code quality and maintainability
• 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 fine-tuning LLM models 
• Experience in setting up data pipelines for model training and real-time inference.

Education Qualification:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech 

Job Requirements

Total Experience: 10+ years

Responsibilities:

• Collaborate with product owner and cross-functional teams to translate business goals into GenAI based solution
• 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
• Implement best practice related to code version control, integration testing, build and deployment using GitHub Actions
• Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliability
• Conduct code reviews, offering constructive feedback to improve code quality and maintainability
• 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 fine-tuning LLM models 
• Experience in setting up data pipelines for model training and real-time inference.

Education Qualification:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech 

Job Requirements

Total Experience: 10+ years

Responsibilities:

• Collaborate with product owner and cross-functional teams to translate business goals into GenAI based solution
• 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
• Implement best practice related to code version control, integration testing, build and deployment using GitHub Actions
• Troubleshoot and resolve backend issues, optimizing application performance and ensuring reliability
• Conduct code reviews, offering constructive feedback to improve code quality and maintainability
• 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 fine-tuning LLM models 
• Experience in setting up data pipelines for model training and real-time inference.

Education Qualification:

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech 

Experience Level

Mid Level