Go Local Interactive
AI

AI Engineer

Go Local Interactive · Overland Park, KS, US · $401k

Actively hiring Posted 13 days ago

Role overview

Description:

What we're looking for

Job Description

As the AI Engineer, you’ll drive the integration of artificial intelligence across both our digital marketing services and our proprietary SaaS platform. Your work will enhance internal operational efficiency and unlock new intelligent features that elevate the value we provide to clients.

You’ll work hands-on with large language models (LLMs) and other AI technologies to automate manual processes, build internal tools, and deliver smarter, data-driven marketing solutions. This is an opportunity to have a direct and visible impact on a rapidly evolving business by embedding AI into its core.

Job Expectations

  • Design and build scalable AI-powered services and tools to streamline internal workflows across teams (e.g., SEO, content, sales, support).
  • Develop intelligent features that enhance the capabilities of Go Local’s SaaS platform.
  • Integrate and manage multiple LLMs and AI APIs (e.g., OpenAI, Anthropic, Google) to support both internal and client-facing use cases.
  • Mentor and lead a team of AI engineers, providing guidance, technical oversight, and performance coaching.
  • Create and maintain backend systems and APIs for delivering AI functionality across products and services.
  • Build infrastructure for model serving, orchestration, performance monitoring, and lifecycle management.
  • Develop fallback strategies and model routing for performance, reliability, and cost optimization.
  • Work cross-functionally with engineering, product, and marketing teams to identify opportunities to apply AI effectively.
  • Implement best practices in AI privacy, data handling, and regulatory compliance.
  • Stay up-to-date on advancements in AI and MLOps, continuously introducing new ideas and technologies to improve Go Local's offerings.

Job Qualifications

  • 6+ years of experience designing and building AI/ML applications or infrastructure in production environments.
  • Proven experience applying LLMs or similar AI models to solve real business or product challenges.
  • Strong backend engineering skills, with experience in Python or TypeScript.
  • Experience with modern AI/ML orchestration and deployment tools (e.g., LangGraph, Airflow, Kubeflow, Ray, n8n, Make, FlowAI).
  • Familiarity with cloud platforms like AWS, GCP, or Azure, and containerization tools like Docker or Kubernetes.
  • Understanding of MLOps practices including model deployment, monitoring, logging, and evaluation.
  • Knowledge of privacy, security, and ethical considerations in AI systems.
  • Experience working in or with marketing technology or SaaS platforms is a plus.
  • Excellent communication and collaboration skills; able to partner effectively across diverse teams.
  • Passion for exploring and applying new AI technologies to create practical, high-impact solutions.

Physical Requirements

  • While performing the duties of this job, the employee is regularly required to stand, walk, sit, and talk or hear.
  • The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Travel

  • 0-5%

Schedule

  • Full-time; Monday through Friday

Benefits/Perks:

Go Local Interactive is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.

Need Assistance? If you require assistance or reasonable accommodation for any part of the application or hiring process, please submit your request by email to careers@golocalinteractive.com. This contact information is for accommodation requests only, and should not be used to inquire about the status of applications.

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