Walker & Dunlop is one of the largest providers of capital to the commercial real estate industry, committed to creating meaningful social, environmental, and economic change. As a Senior AI Software Engineer, you will help shape the future of their Loan Origination and Servicing platform by designing and building scalable applications and intelligent workflows that enhance operational efficiency and deliver real-time insights.
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
Requirements:
- 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
- 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 communicate system design effectively
- Familiarity with Event Sourcing and Domain-Driven Design principles
- Demonstrated ownership mindset with a commitment to continuous improvement and organizational success
- Ability to work independently, provide proactive feedback and adapt to evolving priorities in an agile environment
- Excellent verbal and written communication skills
- Ability to show ownership of your work, take on challenges and acknowledge growth opportunities, and demonstrate patience when learning new processes
- Courtesy, respect, and thoughtfulness in teaming with colleagues and other stakeholders
- Experience within Real Estate, Financial Services or Capital Markets environments