WS Development
real estate
AppliedAIEngineer
“Applied AI Engineer at WS Development. Skills: AI, LLMs, Agentic systems, RAG. Design and build AI solutions end-to-end. Partner closely with stakeholders”
What You'll Achieve.
clear success metrics tied to real business outcomes; meaningfully changes how WS operates day-to-day; measurable difference
Industry & Context.
identify inefficiencies; energized by hard problems
What They're Looking For.
Must Have
3+ years building and deploying software, data, or AI/ML solutions in production environments, Python skills, comfort integrating APIs and external services, Hands-on experience using modern LLMs and AI frameworks (e. g. , Anthropic, OpenAI, LangGraph, or similar) to build production applications, Experience implementing Retrieval-Augmented Generation (RAG) patterns, Experience designing and deploying agentic architectures, including multi-step workflows, tool use, and orchestration logic, Experience with evaluation pipelines, observability tooling, and feedback loops to measure AI system quality and performance, Comfort working with enterprise data realities: permissions, sensitive data, messy inputs, and governance requirements, Fluency with AI coding assistants (e. g. , Claude Code) to accelerate development and build more effective solutions, A builder’s mindset, Excellent communication and stakeholder partnership skills
Nice to Have
Kubernetes a plus
What You'll Do.
Design and build AI solutions end-to-end
Partner closely with stakeholders
Design and deploy agentic systems
Develop internal AI applications
Build robust evaluation and observability
Help WS scale AI responsibly
Create reusable patterns
How You'll Work.
Team & Collaboration
Partner closely with stakeholders across leasing, finance, operations, development, legal, and other departments; Communicate clearly with both technical and non-technical audiences
Communication Scope
Communicate clearly with both technical and non-technical audiences; Excellent communication and stakeholder partnership skills
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