Senior Software Engineer

• Own and drive the technical architecture for complex, cross-team full-stack initiatives spanning front-end, backend, and data layers.


• Design, build, and maintain scalable, high-performance web applications and distributed services in a cloud-native environment.


• Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into engineering and product systems to drive efficiency and new capabilities.


• Set engineering standards and best practices for code quality, system design, testing, and deployment across the organization, including responsible use of AI-assisted development tools.


• Lead technical design reviews and provide architectural guidance to multiple engineering teams.


• Partner with product, design, and engineering leadership to translate business strategy into scalable technical roadmaps, including AI-driven product capabilities.


• Identify and resolve systemic performance, reliability, and scalability issues across the stack.


• Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on both full-stack and AI engineering practices.


• Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve developer velocity and system resilience.


• Maintain awareness of emerging technologies and industry trends, particularly in agentic AI and automation, and assess their applicability to the business.

Responsibilities

• Own and drive the technical architecture for complex, cross-team full-stack initiatives spanning front-end, backend, and data layers.


• Design, build, and maintain scalable, high-performance web applications and distributed services in a cloud-native environment.


• Architect and integrate agentic AI workflows (autonomous agents, LLM-driven automation, AI copilots) into engineering and product systems to drive efficiency and new capabilities.


• Set engineering standards and best practices for code quality, system design, testing, and deployment across the organization, including responsible use of AI-assisted development tools.


• Lead technical design reviews and provide architectural guidance to multiple engineering teams.


• Partner with product, design, and engineering leadership to translate business strategy into scalable technical roadmaps, including AI-driven product capabilities.


• Identify and resolve systemic performance, reliability, and scalability issues across the stack.


• Mentor and coach senior and mid-level engineers, raising the technical bar across the organization on both full-stack and AI engineering practices.


• Drive adoption of modern frameworks, tools, and engineering practices, including agentic AI and LLM tooling, to improve developer velocity and system resilience.


• Maintain awareness of emerging technologies and industry trends, particularly in agentic AI and automation, and assess their applicability to the business.

Qualifications

• Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred.


• 12+ years of experience in software engineering, with demonstrated experience architecting full-stack web applications at scale.


• Expert-level proficiency in modern JavaScript/TypeScript frameworks (e.g., React, Next.js) and backend languages (e.g., C#, Node.js, Java, or similar).


• Deep understanding of distributed systems design, microservices architecture, and API design (REST/GraphQL).


• Strong experience with cloud platforms (Azure, AWS, or GCP) and cloud-native architecture patterns.


• Hands-on experience building or integrating agentic AI systems, LLM-powered applications, or AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP).


• Proven track record of leading large-scale technical initiatives across multiple teams.


• Strong background in database design, including both relational (SQL) and NoSQL data stores.


• Deep understanding of CI/CD pipelines, infrastructure as code, and DevOps practices.


• Demonstrated ability to mentor engineers and influence technical direction without direct reporting authority. Preferred Qualifications


• Experience designing multi-agent systems, tool-calling architectures, or retrieval augmented generation (RAG) pipelines.


• Experience with event-driven architectures and real-time data processing (e.g., Kafka, Event Hubs, Kinesis).


• Familiarity with containerization and orchestration technologies (Docker, Kubernetes).


• Prior experience in commercial real estate, fintech, or operations/transaction systems.


• Track record of speaking, writing, or open-source contributions that demonstrate technical thought leadership, especially in applied AI.

Why Join Us?

• Shape the technical direction of business-critical platforms at enterprise scale, including next-generation agentic AI initiatives.


• Be part of a high-impact team where ownership, innovation, and technical excellence drive success.


• Competitive compensation, growth opportunities, and access to world-class engineering and AI resources.


• Collaborative Culture: Join a high-caliber team with deep expertise across full-stack development, cloud, agentic AI, and distributed systems.


• Growth & Learning: Access world-class learning resources and mentorship to advance your career.


• Work-Life Balance: Flexible working hours and hybrid options.


• Benefits: Comprehensive health, dental and vision insurance.

If you're passionate about architecting scalable systems, building agentic AI-driven solutions, and shaping engineering culture, we'd love to hear from you!