Senior AI Engineer

An Oklahoma City based company is seeking an AI Engineer to help design and deliver AI-powered solutions that proactively solve business challenges and extend the capabilities of our teams. As an AI Engineer, you will help design, build, deploy, and support AI-powered systems that solve real business problems and scale our teams’ capabilities. This includes intelligent agents, copilots, retrieval systems, and machine learning solutions. This is an exciting opportunity for someone who is passionate about artificial intelligence, curious about emerging technologies, and motivated by building solutions that have both operational and environmental impact. Ready to make an impact? Apply today if you are authorized to work in the U.S.

 

Responsibilities

• Design AI solutions with a strong focus on user needs and business outcomes
• Build and support AI-powered applications, intelligent workflows, and automation solutions
• Contribute to the development of agents, copilots, retrieval systems, and machine learning capabilities
• Integrate internal and external systems into AI workflows and applications
• Write reliable, maintainable, and well-tested code in a CI/CD environment
• Participate in testing, evaluation, monitoring, and continuous improvement of AI systems
• Collaborate with cross-functional teams including software, data, product, and business partners
• Apply software engineering and AI best practices to improve reliability, scalability, and security
• Use Jira to track work items, defects, and project progress

 

Qualifications:

• Bachelor’s degree in computer science, Engineering, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience
• Exposure to AI technologies such as LLMs, prompt engineering, agent frameworks, or machine learning systems
• Experience with at least one modern programming language such as Python, C#, or Java
• Familiarity with APIs and modern software development practices
• Experience with source control and collaborative development workflows
• Strong learning mindset and desire to grow in AI engineering
• Strong communication, organization, and time management skills
• Exposure to vector databases or retrieval-based systems
• Exposure to cloud platforms and AI services such as AWS

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