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(EG0014) Senior Applied AI Engineer - Talent Connection
Отличная вакансия для опытных инженеров: оплата в USD, полная удаленка, работа с передовым стеком (LLM, Azure) и отсутствие микроменеджмента. Компания предлагает сильный социальный пакет, включая оплачиваемый отпуск и бюджет на обучение.
Сложность вакансии
Роль требует глубокой экспертизы как в классической бэкенд-разработке (Python/FastAPI), так и в специфических аспектах прикладного ИИ (Azure OpenAI, VLM, промпт-инжиниринг). Высокая планка обусловлена необходимостью самостоятельно проектировать архитектуру и работать с клиентами из США напрямую.
Анализ зарплаты
Компания предлагает конкурентоспособную зарплату в долларах США. Указанный рыночный диапазон отражает средние ставки для Senior AI ролей в Латинской Америке при работе на рынок США.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Applied AI Engineer position at Nortal. With over 5 years of experience in backend engineering and a specialized focus on deploying LLM-based systems within the Azure ecosystem, I am confident in my ability to bridge the gap between AI research and production-ready industrial applications. My background in building scalable Python services with FastAPI, combined with hands-on experience in prompt optimization and structured output extraction, aligns perfectly with the technical requirements of your Talent Connection network.
In my previous roles, I have successfully implemented evaluation pipelines to balance model accuracy with cost and latency, a skill I look forward to bringing to your team. I am particularly drawn to Nortal's culture of autonomy and its commitment to building a vibrant remote community across LATAM. I am eager to contribute to your 'Future Talent' network and help solve complex business challenges through cutting-edge Generative AI and robust cloud architectures.
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Описание вакансии
Explore the Nortal experience!
🌐 Join our close-knit LATAM remote team: Connect through fun activities like coffee breaks, tech talks, and games with your team-mates and management.
🍃 Say goodbye to micromanagement! We champion autonomy, open communication, and respect for diversity as our core values.
⚖️Your well-being matters: Our People Care team is here from day one to support you with everything from time-off requests to wellness check-ins.
Plus, our Accounts Management team ensures smooth, effective client relationships, so you can focus on what you do best.
Ready to grow with us? 🚀
Here’s what we offer you by joining us!
- Competitive USD salary 💲 – We value your skills and contributions!
- 🌐 100% remote work 🏢 – While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM!
- 💼 Paid time off – Take the time you need according to your country’s regulations, all while receiving your full salary. Rest, recharge, and come back stronger!
- 🎉 National Holidays celebrated 🌴 – Take time off to celebrate important events and traditions with loved ones, fully embracing your culture.
- 😷 Sick leave – Focus on your health without the stress. Take the necessary time to recover and feel better.
- 💸 Refundable Annual Credit – Spend it on the perks you love to enhance your work-life balance!
- 🤝 Team-building activities – Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community.
- 🥳 Birthday day off 🎂 – Enjoy an extra day off during your birthday week to celebrate in style with friends and family!
About the project:
At Nortal, we know great talent doesn’t wait for job openings. That’s why we’re building a community of passionate professionals for future opportunities.
These proactive searches align with the profiles our trusted clients seek regularly. Join our "Future Talent" network to be among the first considered when the right opportunity arises.
With over 160 new hires every year, we are constantly expanding our team with passionate and skilled professionals who want to make an impact.
As a Senior Applied AI Engineer (Forward Deployed, Azure & LLM Systems), you will sit at the intersection of cutting-edge AI research and real-world industrial applications. You won't just be building models in a vacuum; you will be the primary technical architect and execution lead responsible for deploying sophisticated LLM-based systems directly into complex production environments.
How your day-to-day work will look like:
✅ Design and optimize VLM prompts for document classification, text extraction, and rule validation tasks.
✅ Build and run evaluation pipelines to measure accuracy, cost, and latency across model configurations.
✅ Benchmark new models (Azure OpenAI, others) and recommend upgrades based on quality/cost tradeoffs.
✅ Implement structured output extraction from LLMs using function calling, JSON mode, and Pydantic-based parsing.
✅ Maintain and extend a Python service layer (FastAPI, queue-based workers) and a Next.js frontend.
✅ Build scalable, fault-tolerant AI pipelines using Azure components such as App Services, Blob Storage, and queues.
✅ Monitor, debug, and resolve production issues across AI and application layers.
This would make you the ideal candidate:
✨ Bachelor's Degree in Computer Science, Engineering, or a related field.
✨ 5+ Years building production systems with Python & Backend Engineering, focusing on FastAPI, async processing, and APIs.
✨ 2+ Years working with LLMs in real-world use cases, including Applied AI, Azure OpenAI, prompting, and structured outputs.
✨ Hands-on experience building and operating Cloud & Distributed Systems, with a focus on Azure, storage, queues, and scalability.
✨ Experience measuring and improving model performance through Evaluation & Optimization, including metrics, benchmarking, and cost/latency tradeoffs.
✨ Working knowledge of Frontend development with Next.js and React to support end-to-end projects.
✨ Advanced English Level is required for this role, as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons.
What to expect from our Talent Connection process:
- Sign up: Apply to this position and upload your resume.
- Profile review:Our team will review your profile and keep it in our talent database.
- Contact: Our team will contact you to have an interview to get to know you better and to share with you a bit more of what we are looking for.
- Knowing you better:We'd love to discuss your experience in an interview with our recruiters.
- Notification: When a suitable position opens, we’ll contact you to start the selection process, having in mind that this process will be faster because we already had the first screening.
- Transparency:This process is direct and without intermediaries.
🎯 At Nortal, we’re dedicated to solving complex business challenges through cutting-edge technology, and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with Generative AI, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!
We would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.
*Let’s work together to shape the future of technology!*
🧑💻 Apply now!
By applying to this position, you authorize Nortal to collect, store, transfer, and process your personal data in accordance with our Privacy Policy. For more information, please review our Privacy Policy.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Azure
- Python
- LLM
- Asynchronous Programming
- Prompt Engineering
- React
- Distributed Systems
- JSON
- Next.js
- FastAPI
- Azure OpenAI
- Pydantic
Возможные вопросы на собеседовании
Проверка опыта работы с конкретными инструментами, указанными в вакансии.
Расскажите о вашем опыте использования Pydantic и JSON mode для получения структурированных данных из LLM. С какими сложностями вы сталкивались?
Вакансия делает упор на оптимизацию стоимости и производительности.
Как вы подходите к созданию пайплайнов оценки (evaluation pipelines) для сравнения различных моделей Azure OpenAI по критериям точности и задержки?
Роль предполагает работу на стыке AI и Cloud.
Опишите архитектуру отказоустойчивого ИИ-сервиса, который вы развертывали в Azure. Какие компоненты (Blob Storage, Queues) использовались и почему?
Упоминается работа с визуально-языковыми моделями.
В чем заключаются особенности оптимизации промптов для VLM при решении задач классификации документов по сравнению с обычными текстовыми LLM?
Проверка навыков работы в режиме Forward Deployed (прямое взаимодействие с клиентом).
Был ли у вас опыт перевода нечетких бизнес-требований клиента в техническую спецификацию для ИИ-системы? Приведите пример.
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