Sezzle is looking for an AI Engineer II to join our Applied AI team. In this remote role, you will take end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities, building from the ground up and embedding proprietary AI solutions into our products and workflows.

What You'll Do

Lead the design, development, and ownership of AI-powered internal platforms and systems, including initiatives built from scratch.
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 to enhance customer experiences and team productivity.
Embed AI capabilities into customer-facing products, internal tools, and operational workflows, ensuring natural integration and measurable value.
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 strong systems thinking to ensure reliability, performance, security, permissions, and auditability.
Collaborate closely with engineers, teams, and stakeholders across the company to identify high-impact opportunities and drive adoption.
Participate in production support and incident response for owned systems, upholding reliability and operational best practices.
Mentor AI team members through code reviews, design feedback, and hands-on guidance.

What We're Looking For

3–5 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.

Nice to Have

Experience building AI-first platforms or internal products from scratch, including early architectural decisions.
Strong foundation in core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
Experience with transformer architectures (BERT, GPT, etc.) and understanding of attention mechanisms, tokenization, and fine-tuning strategies.
Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows.
Familiarity with embeddings and vector representations, including text embeddings, similarity search, and integration with vector databases.
Experience with NLP techniques including text classification, named entity recognition, semantic search, and information extraction.
Familiarity with cloud-native development using AWS.
Understanding of prompt engineering, retrieval-augmented generation (RAG), and LLM application patterns.
Experience with containerized systems and orchestration tools such as Docker and Kubernetes.
Exposure to CI/CD pipelines and modern development workflows (e.g., GitLab).
Experience with Golang is a plus (or willingness to learn).

Technical Stack

Languages & Frameworks: Python, SQL, React, Golang (a plus)
Cloud & Infrastructure: AWS, Docker, Kubernetes
Tools: GitLab

Benefits & Compensation

Monthly Gross Salary: $3,333 USD - $4,200 USD

Work Mode

This is a fully remote position (global).

Company Culture

At Sezzle, you have relentlessly high standards, you’re not bound by convention, and you need action—speed matters in business. Many decisions and actions are reversible and do not need extensive study; we value calculated risk-taking. You earn trust by listening attentively, speaking candidly, and treating others respectfully.