Senior Full Stack AI Engineer (VP)

Quick Facts

• Role: Senior Full Stack AI Engineer (VP)

Description

You will design, develop, and improve software to support business, platform, and technology capabilities, including financial models and mission-critical trading tools. You will build scalable backend services and event-driven architectures, apply AI/LLMs to business workflows with responsible, validated production integration, and ensure security, performance, and maintainability. You will collaborate with product, designers, and engineering partners while providing technical leadership and governance-aligned execution.

Responsibilities

• Deliver high-quality, scalable, maintainable, performance-optimized software solutions

• Collaborate cross-functionally to define requirements, solution strategies, and integration aligned to business objectives

• Participate in code reviews and promote knowledge sharing and code quality culture

• Stay current with technology trends and contribute to technical communities

• Follow secure coding practices to mitigate vulnerabilities and protect sensitive data

• Implement effective unit testing to ensure readability and reliability

• Provide VP-level strategy input: drive requirements, recommend changes, and support resource/budget/policy planning

• Lead or guide engineers (team leadership expectations or SME technical direction)

• Advise stakeholders on functional and cross-functional impact, alignment, and risks

• Manage and mitigate risks and strengthen controls in the team’s work

• Produce solutions via analytical evaluation of complex alternatives and incorporate outcomes of extensive research

• Build trusted partnerships with internal and external stakeholders to achieve business objectives

Requirements

• Considerable hands-on experience building production-grade backend applications in Java 17+ (OOP, concurrency, collections, unit testing, code reviews, live production troubleshooting)

• Proven experience designing and delivering Spring Boot microservices and RESTful APIs, including security, configuration management, data access, observability, and scalable service architecture

• Experience building event-driven platforms with Kafka (producers/consumers, topic design, partitioning, consumer groups, retries, idempotency, error handling)

• Solid understanding of AWS cloud services for resilient, secure, high-availability deployment, scaling, monitoring, and troubleshooting

• Practical experience applying AI and LLMs to business use cases (document extraction/classification, prompt engineering, output validation, responsible production integration with human-in-the-loop)

• Strong secure coding and unit testing practices

Benefits

• Medical, dental and vision coverage

• 401(k)

• Life insurance

• Paid leave for qualifying circumstances

• Eligible for an incentive award