AI Engineer

Responsibilities

• Design, develop, and implement AI-powered features and applications
• Research, fine-tune, and deploy machine learning and large language models to support business and product initiatives
• Integrate AI models into existing applications and backend systems through APIs and scalable architectures
• Build and maintain data pipelines, including collecting, cleaning, preparing, and validating datasets for model training and evaluation
• Monitor, evaluate, and maintain model performance through testing, benchmarking, and performance metrics
• Optimize AI systems for scalability, latency, reliability, and cost efficiency
• Collaborate cross-functionally with Product, Design, and Engineering teams to translate business needs into practical AI-driven solutions
• Contribute to continuous improvement efforts surrounding AI development processes, tooling, and best practices
• Communicate AI capabilities, limitations, and recommendations clearly to both technical and non-technical stakeholders
• Promote responsible AI practices by considering model bias, ethical implications, and system transparency throughout development

Requirements

• 5+ years of professional software engineering experience, including hands-on experience building and deploying production AI or machine learning systems
• Demonstrated experience delivering at least one AI-powered product or feature to end users in a production environment
• Strong programming skills, particularly in Python
• Experience with machine learning and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Familiarity with large language model ecosystems and tools including prompt engineering, embeddings, vector databases, and Retrieval-Augmented Generation (RAG) pipelines
• Experience fine-tuning and evaluating machine learning or large language models
• Knowledge of cloud platforms and deploying AI/ML solutions within scalable environments
• Strong analytical and problem-solving skills with the ability to navigate ambiguity and rapidly evolving technologies
• Excellent written and verbal communication skills, including the ability to explain AI concepts and model behavior to non-technical audiences
• Understanding of AI limitations, bias mitigation, and ethical considerations related to machine learning systems
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent practical experience

Pay

This position does not specify a pay range.

Schedule

This role follows a hybrid schedule requiring two days per week in our Lincoln, Nebraska office. Onsite requirements may be adjusted based on business needs and company or departmental policy.