Lead and own the product roadmap, manage stakeholders, and drive architecture and infrastructure development for GenAI software. Responsibilities include full-stack GenAI development, mentoring teams, integrating AI-powered enterprise applications, leading PoCs on GenAI initiatives, and ensuring data privacy. Experience with scaling GenAI solutions, cost optimization, model fine-tuning, and big data tools is crucial. Expertise in cloud-native architectures, LLMs, LangChain, vector databases, and AI API integrations is required. The role involves designing resilient architectures for multi-tenant systems.
Must Have:- Expert in Python
- Capable in React
- Experience with RAG
- AWS experience
- GenAI application deployment on cloud
- GenAI solution scaling
- Cost optimization in model selection and deployment
- Data privacy expertise
- Mentoring team on architecture and LLM frameworks
- Model fine-tuning and training
- Big Data tools (Spark etc.) experience
- Hands-on AWS experience
- Strong Python & statistical skills
- Cloud-native architectures, LLMs, LangChain expertise
- Backend development, distributed systems, and integrations