Design, develop, and enhance applications based on foundation models (e.g., LLMs, multimodal models) for specific business needs
Job Summary
Design, develop, and enhance applications based on foundation models (e.g., LLMs, multimodal models) for specific business needs.
Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems.
Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP).
Matching Summary
Design, develop, and enhance applications based on foundation models (e.g., LLMs, multimodal models) for specific business needs.
Skills & Requirements
Must-have
foundation models development
generative AI techniques
autonomous agents
agentic frameworks
Model Context Protocol
full-stack AI applications
cloud platforms (AWS, Azure, GCP)
LLMOps/MLOps practices
Nice-to-have
graph-based knowledge systems
GenAI tools and frameworks
insurance or financial services experience
Key Requirements
5+ years software development experience
Proven generative AI model deployment
Expertise in agentic AI systems
Solid understanding of Model Context Protocol
Consistent full-stack application development experience