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

  • Contribute to the design and development of AI-powered platforms and systems alongside senior engineers.
  • Own end-to-end delivery of complex projects from problem discovery and system design through production rollout and iteration.
  • Build AI-driven features, intelligent automation, and agentic systems that improve customer experience and team productivity.
  • Embed AI capabilities into existing products, workflows, and operational processes.
  • Build full-stack components including backend services, APIs, data layers, and frontend interfaces.
  • Translate business and operational problems into maintainable, AI-enabled technical solutions.
  • Apply systems thinking to ensure reliability, performance, and security across platforms.
  • Collaborate with engineers, cross-functional teams, and stakeholders to understand requirements and deliver solutions.
  • Participate in production support and incident response for team-owned systems.
  • Engage in code reviews and knowledge sharing to improve team practices.

Requirements

  • 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles.
  • Hands-on experience designing, building, and shipping AI-powered systems into production environments.
  • 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.
  • Exposure to building AI-powered platforms or products, including contributing to architectural decisions (preferred).
  • Foundational knowledge of machine learning and data science principles, including supervised and unsupervised learning, feature engineering, and model evaluation (preferred).
  • Familiarity with transformer architectures such as BERT and GPT, including attention mechanisms, tokenization, and fine-tuning concepts (preferred).
  • Experience with AWS, Docker, Kubernetes, GitLab, Golang, vector databases, NLP techniques, or agentic workflow tools such as LangChain, n8n, or Make (preferred).

Benefits

  • Salary range of 2,500–3,333 USD per month, gross.
  • Remote full-time work arrangement.
  • Opportunity to grow into greater ownership and technical leadership over time.
  • Hands-on exposure to production-grade AI systems and rapid team growth.

Interested in this position?

Apply directly on the company website

Apply Now

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