Description

Design and build intelligent AI agent systems, LLM-based applications, and autonomous workflow solutions within enterprise environments.

This role is remote.

Responsibilities

• Architect and implement multi-agent architectures and RAG systems for enterprise applications.
• Integrate Large Language Models with external systems, vector databases, and knowledge graphs.
• Manage AI system architecture documentation and ensure seamless deployment across multiple environments.
• Advise on best practices for AI agent development and enterprise AI integration processes.
• Communicate AI capabilities, limitations, and project timelines to stakeholders, including risk management.

Required Skills

• 5+ years of hands-on experience as a Senior AI/ML Developer.
• At least three complete agentic AI system implementations.
• Proficiency in Python and AI/ML frameworks including LangChain, LlamaIndex, Transformers, and PyTorch.
• Experience with cloud AI services: Azure OpenAI, AWS Bedrock, and Google Vertex AI.
• Strong understanding of deploying AI models in multiple environments.
• Ability to manage stakeholder communication regarding project timelines and risks.

Preferred Skills

• Experience with knowledge graphs and complex enterprise integration patterns.

Key Skills

Education

Any Graduate