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Jobs/AI Engineer Role/Sezzle - AI Engineering I
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Sezzle

Sezzle - AI Engineering I

Remote - Argentina6d ago
RemoteJuniorLATAMCloud ComputingArtificial IntelligenceAI EngineerSQLPythonReactpgvectorWeaviatePineconeVectorAWSDockerKubernetesLangChainDigital MarketingBrazeB2CSEOFull Stack

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Requirements

• Exposure to building AI-powered platforms or products, including contributing to architectural decisions. • Foundational knowledge of core machine learning and data science principles, including supervised/unsupervised learning, feature engineering, and model evaluation. • Familiarity with transformer architectures (BERT, GPT, etc.) and basic understanding of attention mechanisms, tokenization, and fine-tuning concepts. • Exposure to embeddings and vector representations, including text embeddings and similarity search concepts; interest in vector databases (Pinecone, Weaviate, pgvector, or similar). • Familiarity with NLP techniques such as text classification, named entity recognition, or semantic search. • Familiarity with real-world agentic frameworks workflow engines (e.g., in-house automation platforms, langchain/graph, n8n, Make, or similar), with a solid understanding of how they work under the hood. • Experience developing AI-assisted or agentic systems that interact with tools, data, or workflows. • Familiarity with cloud-native development using AWS. • 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). • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed. • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things • You’re not bound by convention • 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 need action • You earn trust - you listen attentively, speak candidly, and treat others respectfully. • You earn trust • What Makes Working at Sezzle Awesome: • At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. • #Li-remote #full-time

Responsibilities

• Contribute to the design and development of AI-powered platforms and systems, working alongside senior engineers on complex initiatives. • Own end-to-end delivery of complex projects, from problem discovery and system design through production rollout and iteration. • Build AI-driven features, intelligent automation, and agentic systems that enhance customer experiences and improve team productivity. • Embed AI capabilities into existing team workflows, products, and processes, ensuring solutions integrate naturally • 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 with guidance from senior team members. • Collaborate with engineers, teams, and stakeholders across the company to understand requirements and deliver impactful solutions. • Participate in production support and incident response for team-owned systems, learning operational best practices. • Engage in code reviews and knowledge sharing to continuously improve skills and contribute to team growth. • Familiarity with Braze or similar consumer facing CRM platforms and/or various B2C digital marketing channels like affiliate, CTV, paid social, paid search, GEO/SEO, DSP. • What We'll Look For: • 1–3 years of professional experience in software engineering, AI engineering, platform engineering, or related roles. • AI engineering • Hands-on experience designing, building, and shipping AI-powered systems into production environments. • Hands-on experience designing, building, and shipping AI-powered systems • 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.

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