- Страна
- Мексика
- Зарплата
- 2 500 $ – 3 333 $
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на вакансии с ИИ

AI Engineer I (Remote)
Отличная возможность для старта карьеры в AI в международной финтех-компании с прозрачной вилкой в USD. Удаленный формат и работа с передовым стеком (LLM, Agents) делают вакансию крайне привлекательной.
Сложность вакансии
Роль требует сочетания навыков Full-stack разработки (Python, React) и понимания современных AI-архитектур (LLM, векторные БД). Хотя это позиция начального уровня (Engineer I), высокие стандарты компании и работа с распределенными системами повышают планку.
Анализ зарплаты
Предлагаемая зарплата ($2,500 - $3,333) находится на уровне или чуть выше медианы для Junior/Early Middle AI-инженеров в Латинской Америке, работающих на рынок США. Это конкурентоспособное предложение для специалиста с опытом 1-3 года.
Сопроводительное письмо
I am writing to express my strong interest in the AI Engineer I position at Sezzle. With a solid foundation in Python, SQL, and React, combined with professional experience in building and shipping AI-powered systems, I am eager to contribute to your Applied AI team. I have a proven track record of developing full-stack components and integrating AI capabilities into production environments, which aligns perfectly with Sezzle's mission to redefine the shopping experience.
What excites me most about Sezzle is your commitment to high standards and innovation. I am particularly interested in your work with agentic systems and intelligent automation. My experience with distributed systems and my familiarity with vector databases and LLM architectures position me well to help Sezzle drive meaningful impact through AI. I am a proactive problem-solver who thrives in fast-paced environments and is dedicated to building reliable, scalable technical solutions.
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Описание вакансии
The salary range for this role is 2,500 - 3,333 USD per month (Gross in USD)
About Sezzle:
With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!
About the Role:
We are seeking a talented and motivated AI Engineer I who is best in class, with a high IQ and a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with strong prospects for continued growth and increased ownership.
As an AI Engineer I on the Applied AI team, you will contribute to the development of platforms and systems that power Sezzle's AI-driven capabilities. Your work will span initiatives such as building AI-powered features, developing intelligent automation and agentic systems, and embedding AI solutions into customer-facing products, internal tools, and operational workflows.
You will work closely with senior engineers and cross-functional teams to identify opportunities where AI can drive meaningful impact—whether that's enhancing the customer experience, improving decision-making, or automating complex workflows. This role is ideal for engineers early in their AI careers who want hands-on exposure to production-grade AI systems, with opportunities to grow into greater ownership and technical leadership over time.
What You'll Do:
- 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.
- Apply systems thinking to ensure reliability, performance, and security across platforms.
- 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.
What We'll Look For:
- 1–3 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.
Preferred Qualifications:
- 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).
About You:
- 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 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 - you listen attentively, speak candidly, and treat others respectfully.
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
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Навыки
- Python
- SQL
- React
- Docker
- Kubernetes
- AWS
- GitLab
- Go
- Pinecone
- Weaviate
- LangChain
- NLP
- Machine Learning
Возможные вопросы на собеседовании
Проверка практического опыта внедрения AI в реальные продукты.
Расскажите о самом сложном AI-проекте, который вы вывели в продакшн: с какими проблемами производительности или точности вы столкнулись?
Оценка навыков системного мышления и работы с данными.
Как бы вы спроектировали систему семантического поиска для каталога товаров, используя векторную базу данных?
Проверка владения современными фреймворками для AI-агентов.
Каков ваш опыт работы с LangChain или аналогичными инструментами для создания агентных систем? В чем основные сложности их отладки?
Оценка Full-stack компетенций.
Опишите ваш опыт интеграции AI-функционала в существующий React-интерфейс и бэкенд на Python. Как вы обеспечиваете отзывчивость UI при долгих ответах модели?
Проверка соответствия культуре компании (высокие стандарты).
Приведите пример ситуации, когда вы обнаружили дефект в архитектуре или коде, который другие пропустили. Как вы его устранили и предотвратили повторение?
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- Страна
- Мексика
- Зарплата
- 2 500 $ – 3 333 $