AI Engineer II - Marketing

About the role

Sezzle is looking for an AI Engineer II to join the Applied AI team in Bogota. You will build and own end-to-end AI platforms and automation systems, specifically focusing on marketing initiatives. This role requires a high degree of technical ownership, spanning from initial architecture to production deployment and maintenance.

Key facts

What you'll do

• Design, develop, and manage AI-powered internal platforms from the ground up.
• Take full ownership of projects from problem discovery to production rollout.
• Build and integrate AI features, automation, and orchestration systems into customer-facing products and internal workflows.
• Develop full-stack systems including backend services, APIs, data layers, and frontend interfaces.
• Translate ambiguous business requirements into scalable, maintainable technical solutions.
• Ensure reliability, performance, security, and auditability across all platforms.
• Provide mentorship through code reviews and design feedback.
• Participate in incident response and define operational best practices.

Requirements

• 3-5 years of professional experience in software engineering, AI engineering, or platform engineering.
• Hands-on experience designing, building, and shipping AI-powered systems to production.
• Proficiency in Python, SQL, and frontend frameworks like React.
• Experience designing and owning production-grade full-stack systems.
• Background in distributed systems or complex data workflows.
• Demonstrated experience using Claude or equivalent large language models for productivity and research.
• Ability to navigate ambiguous problem spaces with minimal direction.

Nice to have

• Experience building AI-first platforms from scratch.
• Knowledge of machine learning principles: supervised/unsupervised learning, feature engineering, model evaluation, and statistical inference.
• Familiarity with transformer architectures (BERT, GPT), attention mechanisms, and fine-tuning.
• Experience with agentic systems, embeddings, and vector databases (Pinecone, Weaviate, pgvector).
• Proficiency in NLP techniques such as text classification, semantic search, and named entity recognition.
• Cloud-native development skills with AWS.
• Knowledge of RAG patterns and prompt engineering.
• Experience with Docker, Kubernetes, and CI/CD pipelines (GitLab).
• Proficiency in Golang or a willingness to learn it.
• Experience with Braze or B2C marketing channels (affiliate, CTV, paid social, paid search, GEO/SEO, DSP).

Skills & tools

• Python, SQL, React, AWS, Docker, Kubernetes, GitLab, Claude, LLMs, Vector Databases.

Practical notes

• This is a remote, full-time position.