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Mid LevelFull-timePythonGolangRustReactAWSKubernetesDockerMachine LearningData ScienceCI/CD
Salary Range
$28,560 - $38,640 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking a talented and motivated AI Engineer who will take on end-to-end ownership of complex platforms and systems that power Sezzle's AI-driven capabilities. This role involves building AI-powered platforms from scratch, developing intelligent automation systems, and embedding proprietary AI solutions into customer-facing products and internal tools.
Key Responsibilities
- →Lead the design, development, and ownership of AI-powered internal platforms and systems
- →Own end-to-end delivery of complex projects, from problem discovery to production rollout
- →Design and implement AI-driven features and intelligent automation 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 problems into scalable, maintainable, AI-enabled technical solutions
- →Apply strong systems thinking to ensure reliability, performance, and security
- →Collaborate with engineers and stakeholders to identify high-impact opportunities
- →Mentor AI team members through code reviews and design feedback
Requirements
- ✓3–5 years of professional experience in software engineering, AI engineering, or related roles
- ✓Hands-on experience designing and building AI-powered systems
- ✓Strong proficiency in Python, SQL, and frontend frameworks like React
- ✓Experience designing and owning production-grade full-stack systems
- ✓Experience with distributed systems and complex data workflows
- ✓Ability to operate effectively in ambiguous problem spaces
Preferred Qualifications
- ✓Experience building AI-first platforms or internal products
- ✓Strong foundation in machine learning and data science principles
- ✓Experience with transformer architectures and NLP techniques
- ✓Familiarity with cloud-native development using AWS
- ✓Understanding of prompt engineering and LLM application patterns
- ✓Experience with containerized systems and orchestration tools
- ✓Exposure to CI/CD pipelines and modern development workflows
- ✓Experience with Golang is a plus
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