About the roleWe are seeking a collaborative, customer-focused, and product-minded engineer with deep experience with data infrastructure and backend development. The ideal candidate must be passionate about building tools and experiences that showcase the capabilities of machine learning and AI and helping the team leverage their engineering chops to solve customer problems. You will work closely with senior leaders and principal engineers across the AI organization to help guide our architecture and technical strategy around agentic AI and will be a critical technical voice to the Transaction AI leadership team.
You Will
Collaborate closely with applied scientists, engineering, design, and research to understand, scope, design, prototype, implement, and iterate on internal and external facing systems supporting and implementing next-generation AI applications.
Lead small working groups to build POCs and to prove out new agentic customer experiences and try out new infrastructure
Set the tone of software development culture in Transaction AI with an emphasis on finding new and effective ways to leverage AI tools to increase the quality and scale of the engineering outputs
Partner with Senior Product Leadership to align engineering capability to business strategy
Set the standard for high-quality work through code reviews, mentoring, and the development of guidelines
Provide leadership that helps navigate the team through complicated technical challenges
Educate the science leadership of Transaction AI about the back-end systems being built or that you are proposing we build or adopt and connect them back to our teams core strategy and the wider AI org agentic strategy
Support the growth and development of individuals and the team through interviewing, onboarding, and mentorship
This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice, which must be identified to the Company. U.S. employees may live in any of the 50 United States, with limited exceptions.In California, Connecticut, Maryland, Massachusetts, New Jersey, New York, Washington state, and Washington DC the standard base pay range for this role is $191,300.00 - $305,700.00 annually. This base pay range is specific to these locations and may not be applicable to other locations.
In Colorado, Hawaii, Illinois, Maine, Minnesota, Nevada, Ohio, Rhode Island, Vermont, and Virginia the standard base pay range for this role is $181,800.00 - $290,400.00 annually. The base pay range is specific to these locations and may not be applicable to other locations.In addition to a competitive base salary this position is also eligible for equity awards based on factors such as experience, performance and location. Actual amounts will vary depending on experience, performance and location. Employees in this role will not be paid below the salary threshold for exempt employees in the state where they reside.
Who you are8+ years of experience building and shipping production-grade software or services
Strong understanding of software design patterns and principles
An understanding of the Machine Learning product development cycle and excitement to learn more about it
You are comfortable contributing across the stack, including ETL, backend services, and product front-end.
You are fluent in languages such as Python, Typescript, and Javascript.
Strong use of and familiarity with AI coding tools and effective patterns of deploying AI agents to multiply your impact.
Are excited and comfortable communicating highly technical ideas with leaders and principles across technical disciplines - not just with other engineers.
Experience setting architecture vision and strategy for an organization
Experience in developing highly available services at Internet scale
Ability to collaborate across teams and leaders, indirectly influence others in a positive way, and navigate difficult conversations and decisions
Have experience and passion for mentoring and guiding engineers, helping develop and grow technical leaders
Nice to have:
Experience developing applications that rely on generative AI or large language models and related technologies (knowledge retrieval solutions, for example).
Experience collaborating with science, engineering, design, research and product partners in a team with a startup culture.
