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.