We are looking for a highly motivated Junior Python Developer with 5-6 years of experience to join our AIOps platform team. The candidate will be responsible for designing, developing, and enhancing AI-powered solutions built on Python, Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise integrations.
Generative AI & LLM Development
Develop and enhance AI-powered applications and intelligent automation solutions.
Build solutions leveraging enterprise LLMs such as Azure OpenAI, OpenAI GPT, Claude, Gemini, and open-source models.
Implement Prompt Engineering techniques to improve AI response quality, accuracy, and reliability.
Design and develop Retrieval-Augmented Generation (RAG) frameworks using enterprise knowledge repositories.
Integrate AI applications with structured and unstructured data sources.
Agentic AI Development
Build and maintain AI Agents capable of executing tasks, making decisions, and interacting with enterprise systems.
Develop multi-agent workflows and orchestration mechanisms for complex business use cases.
Implement tool calling, function calling, memory management, and contextual reasoning capabilities.
Contribute to the design and development of Agentic AI use cases across IT Operations, ITSM, Automation, Customer Support, and Knowledge Management domains.
Evaluate and improve agent performance, reliability, and scalability.
We are looking for a highly motivated Junior Python Developer with 5-6 years of experience to join our AIOps platform team. The candidate will be responsible for designing, developing, and enhancing AI-powered solutions built on Python, Generative AI, Agentic AI, Large Language Models (LLMs), and enterprise integrations.
Generative AI & LLM Development
Develop and enhance AI-powered applications and intelligent automation solutions.
Build solutions leveraging enterprise LLMs such as Azure OpenAI, OpenAI GPT, Claude, Gemini, and open-source models.
Implement Prompt Engineering techniques to improve AI response quality, accuracy, and reliability.
Design and develop Retrieval-Augmented Generation (RAG) frameworks using enterprise knowledge repositories.
Integrate AI applications with structured and unstructured data sources.
Agentic AI Development
Build and maintain AI Agents capable of executing tasks, making decisions, and interacting with enterprise systems.
Develop multi-agent workflows and orchestration mechanisms for complex business use cases.
Implement tool calling, function calling, memory management, and contextual reasoning capabilities.
Contribute to the design and development of Agentic AI use cases across IT Operations, ITSM, Automation, Customer Support, and Knowledge Management domains.
Evaluate and improve agent performance, reliability, and scalability.
BE, BTech