AI Engineer

Ringside Talent Acquisition Partners; Columbus (OH); Hybrid; USD 95,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Hybrid work schedule

Cutting-edge AI tools

Culture of innovation

Generous paid time off

Job summary

Ringside Talent Acquisition Partners is seeking an AI Engineer for a hybrid role in Columbus, OH. This hands-on opportunity drives adoption of cutting-edge AI tools within a growing technology team.

You will design, build, and deploy AI-powered features, leverage Copilot, Claude and Cursor, and collaborate with engineering to integrate AI/LLM solutions. You’ll evaluate new tools and document best practices.

Qualifications

• 2–3 years of AI engineering experience.
• Hands-on with AI coding tools such as GitHub Copilot, Claude, and Cursor.
• Strong programming skills in Python or JavaScript.
• Familiarity with LLMs, prompt engineering, and AI-assisted development workflows.
• Excellent communication and collaboration across teams.
• Experience with hybrid work environments.

Responsibilities

• Design, build, and deploy AI-powered features to boost engineering productivity and product capabilities.
• Leverage AI coding tools to accelerate development workflows.
• Collaborate with engineering teams to integrate AI solutions into systems.
• Evaluate and prototype emerging AI tools and models.
• Develop and maintain prompt engineering best practices and docs.
• Partner with stakeholders to identify AI use cases for efficiency or innovation.
• Monitor performance, reliability, and output quality of AI tools.
• Stay updated on generative AI and LLM advancements.
• Troubleshoot AI tool integration and performance issues.

Skills

AI engineering

Python/JavaScript

Prompt engineering

LLMs familiarity

Cross-functional collaboration

Tools

GitHub Copilot

Claude

Cursor

Job description

We are looking for an AI Engineer to work for our client. The ideal candidate aligns with the responsibilities and qualifications outlined below.

This is an exciting opportunity for a hands-on AI practitioner to help drive the adoption of cutting-edge AI tools and engineering practices within a growing technology team, based in a hybrid role in Columbus, OH.

Responsibilities

• Design, build, and deploy AI-powered features and tools to improve engineering productivity and product capabilities
• Leverage AI coding assistants such as GitHub Copilot, Claude, and Cursor to accelerate development workflows
• Collaborate with engineering teams to integrate AI/LLM-based solutions into existing systems and processes
• Evaluate and prototype emerging AI tools, models, and frameworks to identify opportunities for adoption
• Develop and maintain prompt engineering best practices and internal documentation
• Partner with cross-functional stakeholders to identify use cases where AI can drive efficiency or innovation
• Monitor the performance, reliability, and output quality of AI-driven tools and systems
• Stay current on advancements in generative AI and large language models, sharing knowledge with the broader team
• Troubleshoot and resolve issues related to AI tool integration and performance

Qualifications

• 2-3 years of demonstrated AI engineering experience
• Hands‑on experience with AI coding tools such as GitHub Copilot, Claude, and Cursor
• Strong programming skills in one or more languages (e.g., Python, JavaScript, or similar)
• Familiarity with large language models (LLMs), prompt engineering, and AI‑assisted development workflows
• Strong problem-solving skills and ability to quickly learn and evaluate new tools and technologies
• Excellent communication skills and ability to collaborate across technical and non‑technical teams
• Comfortable working in a hybrid environment with occasional in‑office collaboration

What Our Client Offers

• Competitive salary with opportunities for performance‑based bonuses
• Hybrid work schedule based in Columbus, OH
• Access to cutting‑edge AI tools and technologies
• Strong culture of innovation and continuous learning
• Generous paid time off and flexible scheduling