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Senior AI Engineer

TekLeaders, IncColumbus, OH🇺🇸United StatesPosted 17 Jul 2026

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

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 (Google Cloud Platform, 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 Google Cloud Platform 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.

Skills

AWS
Azure
Google Cloud
Java
JavaScript
Kubernetes
Python

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