Sezzle

Sezzle

Sezzle is a payments company revolutionizing the buy now, pay later experience with interest-free installment plans, empowering consumers and merchants alike.

Diversified Financial Services
251-1K
Founded 2016

Description

  • Lead the design, development, and ownership of AI-powered internal platforms and systems, including new initiatives built from the ground up.
  • Own end-to-end delivery of complex projects from problem discovery and system design through production rollout and iteration.
  • Design and implement AI-driven features, intelligent automation, and orchestration systems.
  • Embed AI capabilities into customer-facing products, internal tools, and operational workflows.
  • Build full-stack systems spanning backend services, APIs, data layers, and frontend interfaces.
  • Translate ambiguous business and operational problems into scalable, maintainable, AI-enabled technical solutions.
  • Apply systems thinking to ensure reliability, performance, security, permissions, and auditability across platforms.
  • Collaborate with engineers, product, operations, and other stakeholders to identify high-impact opportunities and drive adoption.
  • Participate in production support and incident response for owned systems.
  • Mentor team members through code reviews, design feedback, and hands-on guidance.

Requirements

  • 3–5 years of professional experience in software engineering, AI engineering, platform engineering, or a related role.
  • 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 working with distributed systems, internal platforms, or complex data workflows.
  • Ability to operate effectively in ambiguous problem spaces and drive solutions with minimal direction.
  • Experience building AI-first platforms or internal products from scratch, including early architectural decisions (preferred).
  • Strong foundation in machine learning and data science principles, including supervised and unsupervised learning, feature engineering, model evaluation, and statistical inference (preferred).
  • Experience with transformer architectures such as BERT and GPT, including attention mechanisms, tokenization, and fine-tuning strategies (preferred).
  • Experience with embeddings, vector databases, NLP techniques, AWS, RAG, Docker, Kubernetes, GitLab, and Go is a plus.

Benefits

  • Salary range of $3,333–$6,000 per month, gross in USD.
  • Remote, full-time role.
  • Opportunity for continued growth and increased ownership on a rapidly growing team.

Interested in this position?

Apply directly on the company website

Apply Now

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