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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** ITA Group Inc - **Location:** Clive, IA, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Computer Vision, Microsoft Azure, Business Software, Software Documentation, Computer Programming, R (Programming Language), Python (Programming Language), Machine Learning, Automation of Marketing, Natural Language Processing, OpenAI, Tensorflow, SQL Databases, Data Processing, Chatbots, Pytorch, Large Language Models, Prompt Engineering, Agentic-AI, Scikit Learn, Information Technology, Data Management - **Published:** October 8, 2026 - **Apply:** https://www.disabledperson.com/jobs/75866289-ai-engineer ## About the Role * Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field, * 1-5 years of experience developing and implementing AI/ML solutions in an applied or enterprise environment. * Experience working with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and/or large language models (e.g., OpenAI, Anthropic, Azure OpenAI). * Familiarity with AI tools and APIs for automation, NLP, computer vision, or data processing. * Understanding of data management principles, prompt engineering, and AI model evaluation. Skills * Strong programming skills (Python, SQL, R, or similar). * Ability to manage multiple AI projects with attention to accuracy, performance, and business alignment. * Strong problem-solving, analytical thinking, and communication skills. * Interest in human-AI collaboration, ethics, and responsible AI development. Preferred Qualifications * Hands-on experience deploying AI models in production environments. * Prior experience supporting AI tools or agents used by business teams. * Exposure to innovation or digital transformation initiatives within an enterprise. Key Attributes * Curious and continuously learning about emerging AI technologies. * Comfortable working in ambiguity and exploring new, unstructured problem areas. * Collaborative mindset with the ability to bridge technical and business perspectives. * Self-starter who thrives in fast-paced, evolving environments. To perform this job successfully, an individual must be able to complete each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill and/or ability required. ## Description The AI Engineer is an individual contributor responsible for driving the development, implementation, and optimization of AI-powered solutions across the enterprise. This role will play a key part in identifying opportunities to leverage Artificial Intelligence (AI) and Machine Learning (ML) to enhance operations, improve decision-making, and deliver innovation projects. The AI Engineer will also support the "care and feeding" of AI systems - maintaining, improving, and monitoring AI tools, agents, and models to ensure ongoing value creation and ethical, responsible use of AI across the organization., * Design, develop, and deploy AI models, tools, and workflows to address identified business challenges and innovation opportunities. * Collaborate with business stakeholders to translate functional requirements into AI-driven solutions. * Evaluate and integrate third-party AI tools or APIs (e.g., large language models, predictive analytics, automation platforms). * Build and fine-tune AI models to support data analysis, customer insights, operational efficiency, and innovation initiatives. AI Operations, Maintenance & Optimization * Oversee the lifecycle of deployed AI solutions, ensuring consistent performance, accuracy, and compliance. * Monitor AI agents, chatbots, and automation tools for output quality, model drift, and user adoption. * Conduct regular retraining, tuning, and improvement of AI models and workflows. * Implement governance and documentation standards for AI projects to ensure transparency and repeatability. Cross-Functional Collaboration * Partner with data engineers, business analysts, and innovation leaders to identify use cases and prioritize AI opportunities. * Serve as an internal AI subject matter expert, advising teams on potential AI use and practical applications. * Communicate complex AI concepts to non-technical stakeholders in an accessible way. * Participate in project teams and proof-of-concept initiatives exploring new AI technologies or tools. Continuous Learning & Innovation * Stay current on emerging AI trends, technologies, and best practices. * Experiment with new AI models, frameworks, and methodologies to identify potential business applications. * Support internal knowledge-sharing initiatives and contribute to the development of an enterprise AI capability framework.