GenAI Engineer, Associate

Huron•Chicago, IL

21h•$85,000 - $110,000•Remote

About The Position

The Associate, GenAI Engineer is an emerging technical contributor who leads component development, designs new AI Store solutions, and manages small-scale implementation projects. This role builds on foundational experience, offering opportunities to take ownership of technical deliverables and collaborate with cross-functional teams.

Requirements

Bachelor's degree in Technology, Business, Communications, or related field.
2–4 years of experience in technology support, AI implementation, or related roles.
Proficiency with Generative AI tools, APIs, and automation concepts.
Hands-on experience with AWS generative AI tooling, such as Amazon Bedrock, AgentCore, and related services.
Experience using agentic coding tools, such as Claude Code, Codex, OpenCode, or similar.
Experience designing and implementing agentic AI workflows.
Familiarity with MCP (Model Context Protocol) evaluation and management.
Experience with model evaluation and model tuning techniques.
Strong documentation and organizational skills.
Experience with Microsoft Office 365 and documentation/version control tools.
Ability to work independently and manage multiple priorities.

Nice To Haves

Experience with the Anthropic, OpenAI, and Google Gemini platforms.
Familiarity with Microsoft Copilot or similar AI platforms.
Exposure to agile methodologies and product management concepts.
Interest in technical implementation and user experience.

Responsibilities

Design and develop agent components and templates for the organization.
Build and orchestrate agentic AI workflows that coordinate multiple tools, models, and data sources.
Lead small-scale implementation projects, coordinating with stakeholders and team members.
Create and maintain standardized documentation and "recipe cards" for AI solutions.
Conduct quality assurance testing and debugging of agent components.
Evaluate, configure, and manage Model Context Protocol (MCP) servers and integrations.
Perform model evaluation and tuning to optimize solution performance, accuracy, and cost.
Analyze usage metrics and user feedback to improve solution offerings.
Facilitate user training sessions and support enablement events.
Maintain version control documentation and update logs for Collaboratory items.
Assist in packaging common support requests into reusable agent components.
Support junior analysts and contribute to team knowledge sharing.