Senior AI Engineer

Senior AI Engineer

Location: Columbus, Ohio (Onsite)

Rate - Only on w2

Role Overview

This role focuses on the hands-on development of integrations, connectivity, prompt engineering, and event-driven flows, with solutions deployed on cloud platforms. It involves establishing a scalable support model and rapidly translating ideas into reusable solutions in a fast-paced, regulated environment. The position entails building and maintaining AI agents, leveraging prompt engineering, and collaborating with governance, innovation, architecture, and cloud teams to deliver secure and scalable solutions.

Key Responsibilities

• Build AI-enabled applications, APIs, and automation solutions end-to-end.
• Develop agent workflows, prompt patterns, and evaluation frameworks.
• Create prototypes and reusable components for various applications.
• Design scalable backend services, APIs, and integrations.
• Implement event-driven solutions and CI/CD pipelines for deployment.
• Integrate with enterprise systems and ensure secure coding practices are followed.
• Collaborate with cross-functional teams to deliver high-quality innovation solutions.

Required Qualifications

Education: A Bachelor’s degree in a technical field is required.

Experience: A minimum of 8-12 years of software engineering experience is required.

Technical Skills:

• Prompt Engineering & AI Model Integration
• Agentic AI development and testing
• API Development & Integration
• Cloud Engineering experience (GCP, Azure, or AWS).
• Experience with event-driven architecture such as Pub/Sub.
• Proficiency with CI/CD pipelines.
• Experience in Java, Python, or JavaScript.

Preferred Qualifications

• Strong full-stack development experience (API, backend, UI).
• Experience building AI-enabled applications.
• Direct experience with GCP platforms like Vertex AI and Cloud Run.
• Familiarity with Kubernetes, cloud deployments, and DevOps practices.
• Ability to work independently in fast-paced environments.
• Strong communication skills.