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About the Role
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.
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.
- Set engineering standards and best practices for code quality, system design, testing, and deployment across the organization.
- 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.
- 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.
- Maintain awareness of emerging technologies and industry trends, particularly in agentic AI and automation, and assess their applicability to the business.
Requirements
- 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.
- 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.
Skills
- Modern JavaScript/TypeScript frameworks (e.g., React, Next.js)
- Backend languages (e.g., C#, Node.js, Java, or similar)
- Distributed systems design
- Microservices architecture
- API design (REST/GraphQL)
- Cloud platforms (Azure, AWS, or GCP)
- Cloud-native architecture patterns
- Agentic AI systems
- LLM-powered applications
- AI agent orchestration frameworks (e.g., LangChain, AutoGen, Semantic Kernel, MCP)
- Database design (SQL and NoSQL)
- CI/CD pipelines
- Infrastructure as code
- DevOps practices
- Multi-agent systems
- Tool-calling architectures
- Retrieval augmented generation (RAG) pipelines
- Event-driven architectures
- Real-time data processing (e.g., Kafka, Event Hubs, Kinesis)
- Containerization technologies (Docker)
- Orchestration technologies (Kubernetes)
Work Type
- Hybrid
Experience Level
- 12+ years of experience in software engineering
- Senior
- Mid-level
Education Level
- Bachelor's degree in Computer Science, Engineering, MIS, or related field preferred
Benefits
- Competitive compensation
- Growth opportunities
- Access to world-class engineering and AI resources
- Comprehensive health, dental and vision insurance
About the Company
- We are a company focused on redefining the future of technology at scale.