AI Engineering I - Marketing

About the role

Join Sezzle as an AI Engineer I to build and enhance AI-driven marketing capabilities. This position offers a chance to grow your expertise in a fast-paced environment, contributing to impactful AI solutions that shape the customer journey and operational efficiency.

Key facts

What you'll do

• Contribute to the creation of AI-powered systems and platforms, collaborating with experienced engineers.
• Take ownership of projects from initial concept through to deployment and ongoing improvement.
• Develop AI features, intelligent automation, and agentic systems to improve user experiences and team effectiveness.
• Integrate AI capabilities into customer-facing products, internal tools, and operational processes.
• Build complete software components, including backend services, APIs, data infrastructure, and user interfaces.
• Transform business and operational challenges into practical, AI-enhanced technical solutions.
• Ensure the reliability, performance, and security of AI systems.
• Work with various marketing channels such as affiliate, CTV, paid social, paid search, GEO/SEO, and DSP.
• Gain familiarity with consumer-facing CRM platforms like Braze.

Requirements

• 1 to 3 years of professional experience in software engineering, AI engineering, or platform engineering.
• Practical experience in designing, building, and deploying AI systems into production.
• Strong skills in Python, SQL, and frontend development with frameworks like React.
• Demonstrated experience in designing and managing production-ready full-stack systems.
• Experience with distributed systems, internal platforms, or complex data pipelines.
• Experience using Claude or similar large language models for productivity, research, and communication.
• Ability to navigate complex problems and drive solutions with limited supervision.

Nice to have

• Experience contributing to the architecture of AI-powered platforms or products.
• Foundational knowledge of machine learning and data science principles.
• Familiarity with transformer architectures (BERT, GPT) and concepts like attention mechanisms and fine-tuning.
• Exposure to embeddings, vector representations, and similarity search.
• Interest in vector databases (Pinecone, Weaviate, pgvector).
• Familiarity with NLP techniques like text classification or semantic search.
• Experience with agentic frameworks and workflow engines (langchain, n8n, Make).
• Experience developing AI-assisted or agentic systems that interact with tools and data.
• Experience with cloud development on AWS.
• Familiarity with containerization tools like Docker and Kubernetes.
• Exposure to CI/CD pipelines and modern development workflows (GitLab).
• Experience with Golang or a willingness to learn it.

Skills & tools

• Python
• SQL
• React
• Claude (or equivalent LLMs)
• Braze (or similar CRM)
• Affiliate marketing
• CTV
• Paid social
• Paid search
• GEO/SEO
• DSP
• AWS
• Docker
• Kubernetes
• GitLab
• Golang

Practical notes

• Monthly gross salary: 2,500 - 3,333 USD