Applied AI Engineer
Core
Design, prototype, and operationalize AI and analytics solutions to automate work, sharpen decision-making, and improve organizational performance.
Role type
Senior IC Applied AI Engineer
Builds
End-to-end AI/ML proofs of concept and production-ready solutions for operational analytics
Domain
Commercial Real Estate Services / Applied AI & Operational Analytics
Deliverable
production ML models | product features
Required skills
Python, SQL, end-to-end POC development, data wrangling, feature engineering, Databricks, model evaluation, responsible AI practices
Preferred skills
Generative AI/LLM APIs, RAG systems, MLOps tooling, time series analysis, change management
Technologies
Databricks, Python, SQL, OpenAI, Anthropic, MLflow
Responsibilities
Design and build applied AI/ML solutions for operational problems; independently develop end-to-end proofs of concept; partner with data engineering to scale and operationalize solutions; define success metrics and build feedback loops for model monitoring; analyze operational data to identify automation opportunities; translate business challenges into technical solutions and vice versa; prepare datasets and engineer features for AI workflows; drive adoption of AI tools with operational teams; apply responsible AI principles regarding bias, privacy, and hallucinations.
Seniority
Mid-Senior, hands-on IC