Senior AI Software Engineer

Walker & Dunlop
United States
21 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$160,000.0 - $190,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Amazon Web Services Continuous Integration Programming Tools Python (Programming Language) Performance Tuning Query Optimization Regression Testing E2e Testing Software Engineering SQL Databases UML
+13 more
Large Language Models Multi-Agent Systems Caching Backend Fastapi Event Driven Architecture Containerization Kubernetes Information Technology Machine Learning Operations Event Sourcing Domain Driven Design Docker

Job description

  • 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
  • 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 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

Benefits & conditions

This position has an estimated base salary of $160,000 - $190,000 plus a discretionary bonus. An employment offer is based on the applicant’s relevant work experience, applicable knowledge, skills, abilities, internal equity, and alignment with market data.

What We Offer

  • The opportunity to join one of Fortune Magazine’s Great Places to Work winners
  • Comprehensive benefit options* that have earned Walker & Dunlop the gold level of the 2025 Cigna Healthy Workforce Designation , some of which include:
  • Up to 83% subsidized medical payroll deductions
  • Competitive dental and vision benefits
  • 401(k) + match
  • Pre-tax transit and commuting benefits
  • A robust health and wellness program - earn cash rewards and gain access to resources that

promote health, engagement, and balance

  • Paid maternity and parental leave, as well as other family paid leave programs
  • Company-paid life, short and long-term disability insurance
  • Health Savings Account and Healthcare and Dependent Care Flexible Spending
  • Career development opportunities
  • Empowerment and encouragement to give back - volunteer hours and donation matching
  • Eligibility may vary based on average number of hours worked

About the company

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.

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:13 min

Evaluating UML, block diagrams, and the C4 model

Simon Lasselsberger · World Congress 2022

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

4:36 min

Visualizing system architecture with Mermaid UML diagrams

Jakov Semenski · LIVE

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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