Role & responsibilities

• Experience with Generative AI, LLMs (Large Language Models) & Transformer Models.
• Proficiency in Python programming
• Experience with any of the Cloud Platforms (AWS, Google, Azure)
• Experience in developing RAG based solutions
• Experience in integrating the AI solution with Enterprise applications
• Proficiency in data analysis tools (SQL, Pandas etc)
• Experience in building Guardrails/applying Responsible AI principles
• Experience in AI performance and cost optimization
• Experience of deploying AI applications into production
• Good to have understanding of Agentic AI and AI Agents
• Very good experience in preparing low level design/build documents
• Very good analytical and communication skills
• Knowledge in any of the below
• Generative AI Technologies:
• AWS - Bedrock, Sage Maker, App Studi
• Google Vertex AI, GenAI App Builder, Gemini etc
• Azure Open AI Service, AI Cloud Foundry, AI Studio, Machine Learning
• Experience with any one Cloud Platforms (AWS, Google, Azure)
• Proficiency in data analysis tools (SQL, Pandas etc)
• Experience with deep learning frameworks (Tensor Flow, PyTorch etc)
• Python Programming
• Prompting Techniques
• Integrating AI models into applications via APIs
• Understanding of AI Design patterns (RAG, Orchestration patterns, Event Driven)
• Guardrails & Safety implementation
• Expertise in machine learning, deep learning, NLP, statistical modelling, data visualization, experience with large datasets