Lead the development of GenAI and Agentic AI systems to build intelligent conversational AI and workflow automation for specific business domains
Job Summary
Lead the development of GenAI and Agentic AI systems to build intelligent conversational AI and workflow automation for specific business domains.
Design and develop Full-Stack Multi Agentic AI systems using frameworks like LangGraph, CrewAI, and Google ADK while integrating with back-end systems.
Apply context engineering techniques such as caching and compression to improve LLM performance and implement guardrails for safety and security compliance.
Matching Summary
Lead the development of GenAI and Agentic AI systems to build intelligent conversational AI and workflow automation for specific business domains.
Skills & Requirements
Must-have
GenAI and Agentic AI frameworks
Python or Java or GoLang programming
LLM model integration and prompt engineering
Cloud native services AWS Azure GCP
REST-API MCP A2A protocols
Context engineering techniques
Agentic AI back-end development
Nice-to-have
Model fine-tuning techniques
Banking financial products knowledge
Reinforced Learning experience
Legacy code transformation skills
Cross-functional stakeholder collaboration
Key Requirements
Bachelor's degree in computer science or related field
Experience developing software applications on cloud platforms
Hands-on experience with GenAI and Agentic AI frameworks