Applied AI Engineer — End-to-End Production AI Systems

WS Development; Massachusetts; On-site; USD 140,000 - 210,000; Full time

Job summary

WS Development is seeking an Applied AI Engineer to join the Data & Analytics team in Massachusetts. You will own the technical delivery of AI solutions from discovery to production, partnering across leasing, finance, operations, development, and legal.

The role emphasizes building usable AI tools and governance practices that scale across the organization. You will design agentic architectures, implement RAG, ensure observability, and ship real AI capabilities that drive measurable business

Qualifications

• Bachelor's or Master's degree in Engineering, Computer Science, Mathematics, or related field or equivalent experience.
• 3+ years building and deploying software, data, or AI/ML solutions in production environments.
• Strong Python skills and comfort integrating APIs and external services.
• Hands-on experience using modern LLMs and AI frameworks 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 to accelerate development and build more effective solutions.
• A builder's mindset: energized by hard problems, comfortable with ambiguity, excited about what's possible in this field.
• Excellent communication and stakeholder partnership skills – you know how to work directly with non-technical business teams, scope problems well, and deliver solutions that land.

Responsibilities

• 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 with stakeholders across 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 and that change how they work.
• Build robust evaluation and observability into AI systems, ensuring they stay reliable and performant in production across quality, latency, and cost dimensions.
• Help WS scale AI responsibly on proprietary data by contributing to governance frameworks, guardrails, and responsible use practices.
• Communicate clearly with both technical and non-technical audiences, making AI systems understandable, trustworthy, and well-used across the organization.
• Create reusable patterns, templates, and shared infrastructure that enable business units to prototype safely and accelerate AI adoption company wide.

Skills

Python

LLMs

RAG patterns

Agentic architectures

Observability

Stakeholder comms

Education

Bachelor's or Master's in Engineering/CS/Math

Tools

Anthropic

OpenAI

LangGraph

Claude Code

Job description

WS Development is seeking an Applied AI Engineer to join the Data & Analytics team in Massachusetts. You will own the technical delivery of AI solutions from discovery to production, partnering across leasing, finance, operations, development, and legal.

The role emphasizes building usable AI tools and governance practices that scale across the organization. You will design agentic architectures, implement RAG, ensure observability, and ship real AI capabilities that drive measurable business