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