Applied AI Engineer

Job Title: Applied AI Engineer

Location: Greenville, NC

Reports To: Senior Director of Research & Game Development

Status: Exempt

WHO WE ARE: Headquartered in Greenville, North Carolina, with a dedicated game studio in Wilmington, Valicy represents a bold new chapter in gaming innovation. Formerly known as Grover Gaming, we have rebranded to reflect our renewed commitment to exploring new possibilities in land-based gaming.

As a developer and distributor of engaging electronic gaming experiences, Valicy is driven by our Mission, Vision and Values with a focus on being relational, excellent, and innovative in all we do.

At the heart of our culture are the values represented by our CARE triangle—People, Company, and Work—which continue to guide everything we do. These principles are deeply rooted in who we are and remain central as we grow and evolve.

With a focus on collaboration, creativity, and long-term partnerships, Valicy is proud to be part of an industry that is constantly moving forward—and we are excited to grow alongside it.

SUMMARY: We are looking for an applied AI/ML engineer who enjoys solving practical problems with modern machine learning tools. This role is hands-on, focused on building, testing, and deploying AI solutions that improve workflows, products, and processes across the organization. You’ll collaborate with peers and leadership to translate requirements into working systems, contribute to model experimentation, and ensure deployments are reliable and scalable.

QUALIFICATIONS: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Responsibilities

• Stay current with AI/ML techniques, frameworks, and tools relevant to applied business use cases.
• Collaborate with teams to understand requirements and turn them into technical solutions.
• Build, test, and deploy machine learning models, APIs, and integrations.
• Assist with data pipeline development and MLOps practices to support training and deployment.
• Document work clearly and share findings with both technical and non-technical peers.
• Contribute to code reviews, model evaluations, and iteration cycles to improve solution quality.
  
  

Requirements

• Strong programming skills (Python preferred) and familiarity with ML frameworks (e.g., PyTorch, TensorFlow).
• Experience training, fine-tuning, and deploying models in real applications.
• Understanding of data pipelines, versioning, and cloud services (AWS, Azure, or GCP).
• Ability to communicate effectively with peers and stakeholders.
• 1–3 years of applied AI/ML engineering or software engineering experience with ML focus.
• Resourceful, curious, and eager to learn new techniques and apply them to real problems.
  
  

WORK ENVIRONMENT: The usual work environment is typical of an office environment. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate with no material or weather-related hazards except those associated with travel.

This Job Description is to be used as a guide for accomplishing Company objectives. The description incorporates the most typical duties performed and covers only the primary functions and responsibilities of the position. It is recognized that other related duties not specifically mentioned may also be performed. The inclusion of those duties would not alter the overall evaluation of this position.