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The IT Engineering team builds AI-first enterprise systems that power critical business workflows across the company. This role will focus on advancing finance-related initiatives, partnering closely with Finance stakeholders to modernize and automate high-impact processes. We operate at the intersection of full-stack application development, cloud-native automation, and applied AI. The role requires strong software engineering fundamentals combined with the ability to design scalable systems, integrate AI responsibly, and deliver measurable business impact. You will work across modern web development (TypeScript, NestJS, React), cloud-native services on GCP, and AI-driven architectures (Vertex AI, RAG pipelines, agent orchestration). At the Staff level, you will shape technical direction, define architectural standards, and drive AI-first engineering practices while contributing reusable patterns across the broader team.
Job Responsibility:
Architect and lead the design of scalable full-stack enterprise applications supporting finance initiatives using TypeScript, NestJS, React, and SQL
Define system architecture, data models, service boundaries, and integration patterns for finance-critical platforms
Establish and standardize AI patterns including RAG pipelines, structured LLM workflows, evaluation frameworks, and guardrails
Drive end-to-end delivery of complex initiatives from architecture through production rollout
Ensure strong reliability, security, observability, and performance across systems
Influence cross-functional technical decisions with Finance stakeholders and engineering partners
Identify opportunities to modernize finance workflows through automation and applied AI
Serve as a technical escalation point for complex production or architectural challenges
Mentor senior engineers and elevate engineering standards across the team
Requirements:
Bachelor’s or Master’s in Computer Science, Engineering, or related field (or equivalent experience)
Dual major in Finance or demonstrated domain exposure in Finance is a plus
7+ years of software engineering experience
Strong full-stack development experience
Demonstrated experience leading architectural design for complex systems
Experience deploying and scaling cloud-native applications (GCP preferred)
Practical experience designing and implementing AI-integrated systems (RAG, embeddings, tool/function calling, evaluation patterns)
Strong understanding of system reliability, observability, and production operations
Proven ability to influence technical direction and multiply team impact