This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role offers an exciting opportunity to lead the development of next-generation AI systems at scale, transforming how millions of users interact with intelligent financial services. As Lead Software Engineer, you will:

• Define and implement AI architectures.
• Orchestrate agentic workflows.
• Integrate LLMs and Generative AI into production-grade systems.
• Collaborate closely with product, design, and data teams to ensure AI features deliver safe, personalized, and high-impact experiences.
• Provide technical leadership and hands-on engineering.
• Shape AI standards, mentor teams, and influence strategic decisions across multiple markets.
• Work remotely from the U.S., with occasional travel to build relationships and align on initiatives.

Accountabilities:

• Lead the AI architecture and technical roadmap, ensuring LLM integrations are scalable, reliable, and cost-effective.
• Design and implement agentic workflows and retrieval-augmented generation (RAG) patterns that enhance customer experiences.
• Establish and promote engineering standards for AI development, creating reusable components and best practices.
• Collaborate across teams, including Product, Design, and Data Science, to embed AI capabilities across web, mobile, and internal tools.
• Define and monitor quality, safety, and evaluation practices for AI outputs, ensuring human-in-the-loop integrity.
• Mentor engineers and participate in hiring, fostering high performance and knowledge sharing within technical guilds and AI learning programs.
• Balance short-term delivery with platform stability, making informed strategic trade-offs on model selection, system complexity, and operational efficiency.

Qualifications

• Proven experience as a technical leader delivering large-scale software systems in production environments.
• Hands-on experience implementing LLMs, Generative AI, or RAG workflows at scale.
• Proficiency in full-stack development, including maintainable codebases and API design bridging AI inference layers with user-facing surfaces.
• Strong problem-solving skills, with experience managing complex, ambiguous projects across multiple teams and stakeholders.
• Strategic mindset linking technical AI initiatives to business outcomes such as efficiency, customer acquisition, and product innovation.
• Experience mentoring and scaling engineering teams, fostering collaboration and high performance.
• Bonus: familiarity with PyTorch, TensorFlow, Python AI toolchains, cloud-native infrastructure (AWS/Azure), mobile frameworks like Flutter, and regulated industry standards (FinTech, Responsible AI).
• Experience in global-scale products serving diverse markets and multiple languages is a plus.

Requirements

• Proven experience as a technical leader delivering large-scale software systems in production environments.
• Hands-on experience implementing LLMs, Generative AI, or RAG workflows at scale.
• Proficiency in full-stack development, including maintainable codebases and API design bridging AI inference layers with user-facing surfaces.
• Strong problem-solving skills, with experience managing complex, ambiguous projects across multiple teams and stakeholders.
• Strategic mindset linking technical AI initiatives to business outcomes such as efficiency, customer acquisition, and product innovation.
• Experience mentoring and scaling engineering teams, fostering collaboration and high performance.
• Bonus: familiarity with PyTorch, TensorFlow, Python AI toolchains, cloud-native infrastructure (AWS/Azure), mobile frameworks like Flutter, and regulated industry standards (FinTech, Responsible AI).
• Experience in global-scale products serving diverse markets and multiple languages is a plus.

Benefits

• Remote-first work with quarterly travel to collaborate with colleagues in strategic hubs.
• Top-tier medical, dental, and vision insurance.
• Generous paid time off, company holidays, and supportive work-life balance culture.
• Life Insurance and AD&D coverage.
• Extended maternity and paternity leave.
• Access to internal learning programs and language courses for professional development.
• Mental health and wellness support programs.
• Retirement and savings plans including 401K, HSA, and FSA options.