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# Senior AI Software Engineer

- **Company:** Walker & Dunlop
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $160,000.0 - $190,000.0
- **Contract:** Permanent contract
- **Skills:** 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, 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
- **Published:** August 15, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pbyuc87s2j

## About the Role

* 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

## 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.


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