Principal AI Software Engineer

Walker & Dunlop

. Own complex AI and platform initiatives end-to-end, delivering business-facing capabilities while strengthening the underlying context and agent platform .

Posted 9/29/2026full-timeRemote • United StatesLead💰 $250,000 - $300,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in delivering production AI/ML systems, particularly LLM-powered applications and agentic workflows, while showcasing deep proficiency in Python and modern backend frameworks. Capable of establishing evaluation practices and collaborating effectively with teams to enhance engineering standards.

Highest-signal resume keywords

AI/ML Systems DeliveryPython ProficiencyAgent Frameworks ExperienceModel Evaluation ExpertiseEvent Sourcing Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software DevelopmentAI/ML SystemsPythonSQL DatabasesPrompt EngineeringModel EvaluationAgentic Development ToolsEvent SourcingDomain-Driven DesignPerformance Tuning

Soft Skills

Communication SkillsOwnershipCollaborationProblem-SolvingPatience

Tools & Technologies

Claude Agent SDKLangGraphPydantic AIMCPA2AFastAPI

Industry Keywords

Real EstateFinancial ServicesCapital Markets

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Own complex AI and platform initiatives end-to-end, delivering business-facing capabilities while strengthening the underlying context and agent platform
Design, build, and maintain agentic workflows for loan intake, document review, and servicing
Establish new platform patterns and capabilities by defining approaches, proving them through production use cases, and scaling them for broader adoption
Lead model selection and routing based on cost, latency, and quality
Evolve solutions as new models and capabilities become available
Design interfaces and capabilities for other teams, including MCP tool servers, agent handoffs, subagents, long-running state, and human-in-the-loop checkpoints
Establish evaluation and reliability practices, including evaluation sets, LLM-as-judge approaches, regression testing, and ongoing performance measurement
Identify risks, make technical trade-offs, and escalate when needed
Collaborate with and mentor colleagues to raise the engineering bar
Contribute to Atlas, WDTech’s AI collaboration platform powering reusable skills, agents, and AI capabilities
Perform other duties as assigned

Requirements

What you’ll need

12+ years of software development experience, including senior individual contributor experience delivering production systems
Bachelor’s or master’s degree in Computer Science or a related field, or equivalent experience
Extensive experience delivering production AI/ML systems, including LLM-powered applications and agentic workflows
Deep experience with modern agent frameworks and SDKs such as Claude Agent SDK, LangGraph, Pydantic AI, MCP, and A2A
Experience with prompt and context engineering, including RAG, embeddings, hybrid search, and reranking
Experience with model evaluation, observability, and guardrails for production AI systems
Experience using agentic development tools, including skills, subagents, and harness configurations
Experience in Real Estate, Financial Services, or Capital Markets preferred
Deep proficiency in Python and modern backend frameworks such as FastAPI
Strong expertise with SQL databases, including schema design, query optimization, and performance tuning
Experience testing non-deterministic systems, including LLM call fixtures, evaluation suites, and strategies for controlling flaky behavior
Strong judgment in determining which capabilities belong within a shared platform versus individual applications
Ability to operate effectively in ambiguity, establish emerging patterns, and independently move from business problem definition through solution delivery
Experience with Event Sourcing and Domain-Driven Design principles
Excellent verbal and written communication skills
Ability to show ownership of work, take on challenges, acknowledge growth opportunities, and demonstrate patience when learning new processes
Courtesy, respect, and thoughtfulness when teaming with colleagues and stakeholders

Benefits

Comp & perks

Up to 83% subsidized medical payroll deductions
Competitive dental and vision benefits
401(k) + match
Pre-tax transit and commuting benefits
Robust health and wellness program with cash rewards and health, engagement, and balance resources
Paid maternity and parental leave
Other family paid leave programs
Company-paid life, short-term disability, and long-term disability insurance
Health Savings Account
Healthcare and Dependent Care Flexible Spending Accounts
Career development opportunities
Volunteer hours and donation matching
Opportunity to join one of Fortune Magazine’s Great Places to Work winners