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We’re looking for a highly motivated early career Agentic AI Engineer to help do just this: focus on leveraging industry-leading models to ideate and execute initiatives across our financial infrastructure, underwriting, risk modeling, merchant platforms, and partner integrations.
Job Responsibility:
Build end-to-end GenAI-based systems from the ground up in a lean, fast-paced team, working across the entire stack from data collection and experimentation to integration and reliability
Shape the direction of our applied GenAI areas of investment by engaging with engineering and product teams across the company
Architect and implement robust & scalable infrastructure, from supporting platform-level monitoring and auditing systems to safely integrating agents into production environments
Collaborate with cross-functional teams to deliver seamless product integrations and enhance the merchant experience
Work with industry-leading GenAI libraries, frameworks, and platforms to drive successful business outcomes
Requirements:
1-4 years of experience
Familiarity with basic LLM principles
Bias towards first-principles thinking and strong engineering fundamentals
Proficiency in backend development, ideally with Python, Go, or similar languages
Passion for building impactful financial products that empower small businesses
Excellent communication and collaboration skills, especially in cross-functional settings
Nice to have:
Experience with GenAI in a production setting
Experience with fintech, risk, or underwriting systems
A history of owning and delivering projects entirely end-to-end