AI Engineer I (AI)

TL;DR

AI Engineer I (Applied AI): Contribute to building AI-powered platforms and systems for fintech shopping experiences with an accent on intelligent automation, agentic systems, and embedding AI into customer products and workflows. Focus on owning end-to-end delivery of AI features, developing full-stack components, and ensuring production reliability under complex distributed environments.

Location: Remote (Latin America)

Salary: 2,500 - 3,333 USD per month (Gross)

Company

Fintech revolutionizing shopping with interest-free installment plans, AI-driven features, and increased merchant conversions.

What you will do

• Design and develop AI-powered platforms, automation, and agentic systems alongside senior engineers.
• Own end-to-end delivery of complex AI projects from discovery to production rollout.
• Build and integrate AI features into customer-facing products, internal tools, and operational workflows.
• Develop full-stack components including backend services, APIs, data layers, and frontend interfaces.
• Translate business problems into maintainable AI solutions and apply systems thinking for reliability.
• Collaborate cross-functionally, participate in code reviews, production support, and knowledge sharing.

Requirements

• 1–3 years of professional experience in software engineering, AI engineering, or platform engineering.
• Hands-on experience designing, building, and shipping AI-powered systems into production.
• Strong proficiency in Python, SQL, and frontend frameworks such as React.
• Proven experience designing and owning production-grade full-stack systems.
• Experience with distributed systems, internal platforms, or complex data workflows.
• Ability to operate in ambiguous spaces and drive solutions with minimal direction.

Nice to have

• Foundational knowledge of ML principles, transformers, embeddings, NLP, and agentic frameworks.
• Familiarity with AWS, Docker, Kubernetes, CI/CD, and Golang.

Culture & Benefits

• High standards culture focused on raising the bar, fixing problems permanently, and calculated risk-taking.
• Emphasis on innovation, not bound by convention, action-oriented decisions.
• Trust-based environment: listen attentively, speak candidly, treat respectfully.
• Dynamic team of top engineers passionate about fintech impact and unique shopping experiences.