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 projects from problem discovery and system design through production rollout and iteration.
  • Build AI-driven features, intelligent automation, and agentic systems for customer and internal use cases.
  • Integrate AI capabilities into customer-facing products, internal tools, and operational workflows.
  • Build full-stack components spanning backend services, APIs, data layers, and frontend interfaces.
  • Translate business and operational problems into maintainable AI-enabled technical solutions.
  • Apply systems thinking to improve reliability, performance, and security across platforms.
  • Collaborate with engineers, stakeholders, and cross-functional teams to identify opportunities and deliver solutions.
  • Participate in production support and incident response for team-owned systems.
  • Engage in code reviews and knowledge sharing to support continuous improvement.
  • Work with marketing and CRM-related platforms and channels such as Braze or similar tools, when applicable.

Requirements

  • 1–3 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 environments.
  • 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 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 or GPT, including attention mechanisms, tokenization, and fine-tuning concepts (preferred).
  • Exposure to embeddings, similarity search, and vector databases such as Pinecone, Weaviate, or pgvector (preferred).
  • Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search (preferred).
  • Experience with agentic frameworks or workflow engines such as langchain/graph, n8n, or Make (preferred).
  • Familiarity with cloud-native development using AWS, Docker, Kubernetes, and CI/CD tools such as GitLab (preferred).
  • Experience with Golang is a plus, or a willingness to learn it.

Benefits

  • Salary range of 2,500–3,333 USD per month, gross.
  • Full-time remote role.
  • Opportunity for continued growth and increased ownership in a rapidly growing team.

Interested in this position?

Apply directly on the company website

Apply Now

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