Artificial Intelligence (AI) Engineer

Description

We are looking for an Artificial Intelligence (AI) Engineer to create and deliver intelligent applications that strengthen operations, streamline manual work, and support better business decisions. This contract opportunity with permanent potential is based in Oklahoma City, Oklahoma, and offers the chance to partner with technical teams and business leaders on practical AI solutions using machine learning, generative AI, and cloud-based services. The ideal candidate brings strong software engineering fundamentals along with hands-on experience building scalable AI products for real-world use.

Responsibilities:
Build, test, and launch AI and machine learning solutions that are ready for production use and aligned with business goals.
Develop generative AI applications powered by large language models and adapt them to support enterprise needs.
Create retrieval-based AI experiences that connect language models with internal data sources and business systems.
Design agent-driven architectures and coordinated workflows that automate tasks across platforms and operational processes.
Develop APIs and backend components that enable reliable integration between AI capabilities and existing applications.
Work closely with stakeholders to evaluate opportunities, define priorities, and deliver high-impact AI initiatives.
Implement intelligent automation and decision-support tools that improve efficiency, reduce risk, and enhance day-to-day operations.
Monitor deployed AI solutions for quality, scalability, security, and performance while continuously refining outputs and user value.
Maintain documentation for solution design, implementation standards, and technical practices to support long-term adoption and supportability.
Research emerging AI frameworks, tools, and methods to identify innovations that can provide measurable organizational benefit.

Requirements

At least 3 years of experience in software engineering and 2 years building AI or machine learning solutions.
Strong programming ability in Python for application development, model integration, and automation.
Hands-on experience with machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with large language models and generative AI platforms used to build business applications.
Proven ability to design, deploy, and support AI applications in production environments.
Experience developing APIs, microservices, and integrations that connect AI services with broader technology ecosystems.
Working knowledge of cloud platforms such as Azure, AWS, or Google Cloud, along with Git, CI/CD practices, and Agile delivery methods.
Exposure to agentic AI, retrieval-augmented generation, or AI orchestration frameworks is strongly valued.

Technology Doesn't Change the World, People Do.

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