Sezzle is a fintech company focused on interest-free installment payments and improving shopper and merchant experiences. This article explains the AI Engineer I role on the Applied AI team, outlining what the role delivers, the day-to-day responsibilities, and the required and preferred technical skills for designing, building, and shipping AI-powered platforms, features, intelligent automation, and agentic systems.
Role overview and scope
The AI Engineer I on the Applied AI team contributes to AI-powered platforms and features that integrate into customer-facing products, internal tools, and operational workflows. The role emphasizes delivering end-to-end projects and embedding AI into practical workflows to improve shopper and merchant experiences across Sezzle’s systems.
Core responsibilities
- End-to-end delivery of projects from design through production deployment.
- Build full-stack components, including backend services, APIs, data layers, and frontends.
- Embed AI into workflows and apply intelligent automation and agentic systems.
- Apply systems thinking to ensure reliability and security of AI systems in production.
- Participate in production support and operational workflows for deployed systems.
- Collaborate across teams to integrate AI features into products and internal tools.
Required and preferred qualifications
Required qualifications:
- 1–3 years professional experience in software, AI, or platform engineering.
- Hands-on experience shipping AI systems to production.
- Strong skills in Python, SQL, and React.
- Experience with distributed systems or complex data workflows.
Preferred familiarity (not required):
- Machine learning fundamentals, transformer architectures, embeddings/vector search, and NLP techniques.
- Agentic frameworks such as LangChain.
- AWS or cloud-native development, Docker/Kubernetes, and CI/CD practices.
- Golang experience or willingness to learn.
In summary, the AI Engineer I role at Sezzle focuses on designing, building, and shipping AI-driven platforms and features that enhance shopper and merchant experiences. The position requires hands-on production experience with AI systems, strong Python, SQL, and React skills, and experience with distributed systems or complex data workflows, with several preferred technologies and concepts that can further strengthen a candidate’s fit.
