Overview
Skills
Job Details
(W2) Agentic AI Consultant
St. Louis location & 4 days onsite
Need // EAD
System Design and Architecture: Defining the architecture of agentic AI systems, selecting frameworks (e.g., LangChain), and integrating them with existing infrastructure.
AI Agent Development: Building and deploying AI agents for complex tasks involving reasoning, planning, and tool execution.
Integration and Deployment: Integrating agentic AI solutions with existing systems for seamless functionality and scalability across cloud platforms.
Data Pipelines and Infrastructure: Designing and overseeing data pipelines and infrastructure to support agentic AI workflows.
Evaluation and Refinement: Implementing evaluation frameworks and feedback loops to assess AI agent performance and iterating on designs based on results.
Collaboration and Communication: Working with cross-functional teams (e.g., product, engineering, research) to identify use cases, prototype solutions, and ensure alignment with organizational goals.