Senior AI Software Engineer
Department:
WDTech - R&D
We are Walker & Dunlop. We are one of the largest providers of capital to the commercial real estate industry, enabling real estate owners and operators to bring their visions of communities — where people live, work, shop, and play — to life. We are committed to creating meaningful social, environmental, and economic change in our communities.
WDTech is W&D’s in-house technology team – a group of collaborative and highly skilled technology professionals, all of whom are leading experts in real estate data, data science, and technology.
WDTech Engineering builds solutions that impact not only our products but also the people and processes across our organization. A commitment to innovation and a passion for disrupting the old-fashioned real estate industry are our highest priorities.
The Impact You Will Have
As a Senior AI Software Engineer on our AI Dev Team, you will help shape the future of our Loan Origination and Servicing platform and the AI systems that support how we build, ship and operate software across the business. You will design and build scalable applications, intelligent workflows and agentic systems that deliver real-time insights and operational efficiency for our teams and clients. You will also contribute to Atlas, our AI collaboration platform that powers reusable skills, agents and AI capabilities across WDTech. In this role, you will help transform complex, data-rich systems into intuitive and high-performing experiences through thoughtful engineering and applied AI.
Primary Responsibilities
- Design, build and maintain agentic workflows that support business-critical processes and operational efficiency
- Contribute to Atlas by authoring reusable skills, maintaining agent definitions and improving the context and evaluation infrastructure that supports scalable AI adoption
- Establish evaluation, observability and reliability standards for agentic systems, including regression testing, tracing and guardrail implementation
- Collaborate with Product Management, Product Design and business stakeholders to translate complex requirements into scalable technical solutions
- Own features end-to-end, including architecture, development, testing, deployment and ongoing iteration
- Drive continuous improvement across the engineering stack, including performance optimization, reliability, testing and CI/CD practices
- Mentor engineers and contribute to a culture of engineering excellence, accountability and responsible AI usage
- Support architectural discussions and technical decision-making across AI and platform engineering initiatives
- Perform other duties as assigned.
Education and Experience
- 8+ years of software development experience
- Bachelor’s or master’s degree in Computer Science or a related field
- Experience delivering production AI/ML systems, including LLM-powered applications and agentic workflows
- Experience with modern agent frameworks, retrieval architectures and AI system evaluation practices
- Hands-on experience using AI coding assistants and developer tools within engineering workflows
- Experience with Amazon Web Services, event-driven architecture, Docker, Kubernetes and containerized deployments
- Experience within Real Estate, Financial Services or Capital Markets environments preferred
Knowledge, Skills and Abilities
- Deep proficiency in Python and modern backend frameworks such as FastAPI, with a focus on scalable and maintainable architecture
- Strong expertise with SQL databases, including schema design, query optimization and performance tuning
- Experience designing efficient, well-structured backend systems and distributed services
- Experience with queues, background task processing, scheduled jobs and caching strategies for scalable systems
- Strong understanding of testing methodologies, including unit, integration and end-to-end testing
- Working knowledge of UML and technical documentation practices to com