Senior Applied Artificial Intelligence Engineer

Responsibilities

• Design, develop, and deploy production models, services, and pipelines that are reliable, scalable, and maintainable

• Partner with data science, product, data engineering, and platform teams to translate business problems into technical solutions

• Build and optimize model training, evaluation, deployment, monitoring, and retraining workflows

• Monitor deployed models for performance degradation, bias, drift, and operational issues

• Mentor engineers and contribute to technical standards, best practices, and architecture decisions

Requirements

• A university degree required (i.e. Bachelors degree) or equivalent relevant work experience

• 5–10+ years of hands‑on experience in software, AI, or data engineering with strong Python proficiency

• Experience designing and delivering end‑to‑end AI workflows and applications

• Hands‑on experience with LLM/GenAI technologies

• Experience with AI/LLM frameworks and tools (e.g., LangChain, LlamaIndex, Semantic Kernel)

• Experience working with messy, unstructured enterprise data

• Strong engineering and product judgment including API/application development

Hard Skills

• Python

• AI workflows

• Data engineering

• Model training

• Model evaluation

• Model deployment

• Model monitoring

• Model retraining

• API development

• Application development

Soft Skills

• Mentoring

• Technical standards

• Best practices

• Architecture decisions

• Engineering judgment

• Product judgment

Certifications & Qualifications

• Bachelor's degree

Industry Keywords

• Production models

• Scalable services

• Reliable pipelines

• Performance monitoring

• Bias detection

• Data science

• Product teams

• Data engineering teams

• Enterprise data

• Unstructured data

Tools & Technologies

• LLM technologies

• GenAI technologies

• LangChain

• LlamaIndex

• Semantic Kernel