1 month ago

Base Salary

$190k - $250k/yr

Responsibilities

  • Own and drive technical architecture for complex cross-team full-stack initiatives across frontend, backend, data, and distributed services.
  • Design, build, and maintain scalable, high-performance web applications and cloud-native systems.
  • Architect and integrate agentic AI workflows, LLM-powered applications, AI copilots, and agent orchestration systems.
  • Set engineering standards for code quality, system design, testing, deployment, and responsible AI-assisted development.
  • Lead technical design reviews and provide architectural guidance to multiple engineering teams.
  • Partner with product, design, and engineering leadership on scalable technical roadmaps and AI-driven product capabilities.
  • Identify and resolve systemic performance, reliability, and scalability issues across the technology stack.
  • Mentor senior and mid-level engineers and raise organizational standards for full-stack and AI engineering.
  • Evaluate and drive adoption of modern frameworks, tools, agentic AI, LLM tooling, and engineering practices.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, MIS, or a related field is preferred.
  • 12+ years of software engineering experience, including architecting full-stack web applications at scale.
  • Expertise with modern JavaScript/TypeScript frameworks such as React and Next.js, plus backend languages such as C#, Node.js, or Java.
  • Deep understanding of distributed systems, microservices architecture, API design, cloud-native architecture, relational and NoSQL databases, CI/CD, infrastructure as code, and DevOps practices.
  • Experience with Azure, AWS, or GCP cloud platforms.
  • Hands-on experience building or integrating agentic AI systems, LLM-powered applications, or AI agent orchestration frameworks such as LangChain, AutoGen, Semantic Kernel, or MCP.
  • Demonstrated leadership of large-scale technical initiatives across multiple teams and ability to influence technical direction without direct reporting authority.
  • Preferred experience with multi-agent systems, tool-calling architectures, RAG pipelines, event-driven architectures, real-time data processing, Docker, and Kubernetes.
  • Preferred background in commercial real estate, fintech, or operations and transaction systems.
  • Preferred technical thought leadership through speaking, writing, or open-source contributions, especially in applied AI.

Benefits

  • Flexible working hours and hybrid work options.
  • Comprehensive health, dental, and vision insurance.
  • Competitive compensation and potential eligibility for discretionary bonuses, deferred cash, equity, and other incentives.
  • Access to world-class learning resources, mentorship, and engineering and AI resources.
  • Growth opportunities within a collaborative, high-caliber engineering culture.
Cantor Fitzgerald / BGC Partners

About Cantor Fitzgerald / BGC Partners

1,001-5,000 employees
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