
AI Engineer – New Verticals
Posted Aug 31

Posted Aug 31
This is a fully remote position, open to applicants in Brazil.
• Collaborate with the General Manager and initial customers to determine the technical requirements of the vertical.
• Develop reusable frameworks, integrations, tools, infrastructure, workflows, and a preliminary MVP for the new vertical.
• Make decisions regarding the architecture, distinguishing between platform-layer and vertical-specific tools.
• Establish the foundational technical playbook for future Field Development Engineers (FDEs).
• Lead initial customer interactions from technical scoping through to delivery and ongoing support after launch.
• Write robust and maintainable code that addresses customer challenges and builds into reusable infrastructure.
• Convert customer needs into sustainable systems.
• Recognize patterns, infrastructure deficiencies, and product opportunities from active engagements.
• Collaborate with Product and Engineering to enhance established capabilities into the core platform.
• Define the technical strategy and commercial direction of the vertical alongside the GM or Solutions Lead.
• Work with the Data Lab on domain-specific data and research inquiries.
• Team up with other FDEs on shared patterns, tools, and methodologies.
• Act as the technical advocate for the vertical as it evolves.
• A minimum of 3 years of engineering experience, including significant 0→1 contributions as a founding engineer, early technical lead, or builder in a highly uncertain environment.
• Strong engineering generalist skills with a focus on backend and data.
• Practical experience with Python and SQL.
• Comfortable working across infrastructure, application logic, and data systems.
• Capability to establish order in undefined situations and act swiftly without a clearly outlined roadmap.
• Strong technical judgment, particularly regarding short-term deliverables versus long-term architecture.
• Excellent written and verbal communication skills, with the ability to engage directly with senior technical and business stakeholders.
• Ability to independently lead technical scoping discussions with customers and convert them into actionable execution plans.
• Previous experience as a founding engineer at a successful startup (preferred).
• Experience in extending an existing platform into a new domain or application (preferred).
• Proven history of transforming customer-specific projects into reusable internal infrastructure or product features (preferred).
• Familiarity with machine learning, natural language processing, or large language model-based systems (preferred).
• Competitive salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work opportunities.
• Professional development resources and training programs.
• A collaborative and innovative work environment.
Alzheimer's Association®
Capital One
Capital One
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