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Senior AI Engineer

Tek Leaders Inc


Job Location:

Columbus, OH - USA

Monthly Salary: Not provided by the employer
Posted: 18 July 2026 (30+ days ago)
Application Deadline: 15 October 2026
Vacancies: 1 Vacancy

Job Summary

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 Bachelors 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.


Required Skills:

AI Engineer