WS Development
real estate
AppliedAIEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“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
Full Job Description
### About the Team & This Opportunity The Data & Analytics team is the engine behind WS Development’s digital transformation. We’re building the data foundation and AI capabilities that power decision-making, automation, and competitive advantage across the organization and we’re doing it from the ground up, which means every technical and architectural decision we make today shapes how WS uses data for years to come. This is a team that moves fast, thinks big, and ships real work. We sit close to senior leadership and partner directly with business teams across leasing, finance, development, legal, and operations. You’ll see the full picture of how a complex, multi-dimensional real estate company operates and you’ll be building the AI systems that make it run better. We’re looking for an Applied AI Engineer who wants to be a core part of this story: someone who combines genuine technical depth with the instincts of a builder, who’s energized by hard problems in a fast-moving field, and who thrives in an environment where the work is ambiguous, the stakes are real, and the impact is visible. This is a hands-on role with real autonomy. You’ll take ideas from concept to production, own the technical delivery, and ship work that meaningfully changes how WS operates day-to-day. ### What You’ll Do * Design and build AI solutions end-to-end from discovery and scoping through production deployment and iteration with clear success metrics tied to real business outcomes. * Partner closely with stakeholders across leasing, finance, operations, development, legal, and other departments to identify inefficiencies and translate them into concrete AI and automation use cases. * Design and deploy agentic systems for business workflows, including orchestration logic, tool and API integrations, retrieval patterns (RAG), guardrails, and human-in-the-loop flows. * Develop internal AI applications that put new capabilities directly in the hands of business teams tools that people actua
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