Experience:

• 3 - 5 Years
• 3–6 years of software development experience

Qualification:

• Bachelor of Engineering

Role Focus:

• Design, develop, and deploy Generative AI solutions using Large Language Models (LLMs)
• Build AI-powered applications leveraging OpenAI, Azure OpenAI, Gemini, Claude, or similar models
• Develop and optimize Retrieval-Augmented Generation (RAG) frameworks using vector databases
• Create prompts, AI agents, chatbots, and copilots for enterprise use cases
• Integrate GenAI solutions with enterprise applications and APIs
• Fine-tune, evaluate, and monitor LLM performance, accuracy, and security
• Collaborate with business stakeholders and cross-functional teams to identify AI opportunities and deliver solutions
• Ensure adherence to Responsible AI and data security best practices

Additional responsibilities:

• Experience with Agentic AI frameworks and multi-agent systems
• Exposure to MLOps/LLMOps tools
• Knowledge of Azure AI Foundry, Semantic Kernel, or AutoGen

Nice to have:

• Technology->SAP Industry Solution->SAP Ind Machinery & components
• Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Azure Machine Learning
• Technology->AI-Data science->Machine Learning
• Technology->AI-Generative AI->Conversational AI Platform
• Technology->AI-Generative AI->Generative AI - Basic
• Technology->AI-AI Engineering->AI/ML Solution Architecture and Design->generative ai
• Technology->AI-Generative AI->Generative AI for Data Analytics
• Technology->AI-Data science->Databricks Machine Learning
• Technology->AI-AI Engineering->LLMOps

More skills:

Prompt Engineering, AI Agents, REST APIs, Microservices, cloud platforms, Azure, machine learning, NLP concepts