Experience:

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

Qualification:

• Bachelor of Engineering

Responsibilities:

• Design, develop, and deploy Generative AI solutions using Large Language Models
• Build AI-powered applications leveraging OpenAI, Azure OpenAI, Gemini, Claude, or similar models
• Develop and optimize Retrieval-Augmented Generation 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
• Strong problem-solving and communication skills

Nice to have:

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

More skills:

Python programming, OpenAI APIs, Pinecone, ChromaDB, FAISS, Azure AI Search, REST APIs, Microservices, Cloud platforms, Azure, Machine learning, NLP concepts