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Forward Deployed Engineer - Truelogic Software
Отличная вакансия для опытных инженеров: полная удаленка, оплата в USD выше рынка и работа с передовыми технологиями (OpenAI, Bland AI) для крупных компаний США.
Сложность вакансии
Роль требует редкого сочетания навыков: глубокой технической экспертизы в области LLM и AI, умения писать промышленный код на нескольких языках и навыков стратегического консалтинга для работы напрямую с клиентами.
Анализ зарплаты
Вакансия обещает оплату в USD, превышающую средние рыночные показатели для Латинской Америки. Указанный диапазон отражает типичные ставки для Senior/Lead специалистов, работающих на рынок США через аутстаффинг.
Сопроводительное письмо
I am writing to express my strong interest in the Forward Deployed Engineer position at Truelogic. With a robust background in developing production-ready applications using Python and TypeScript, combined with a deep technical understanding of Large Language Models and autonomous agents, I am confident in my ability to help your clients redefine their business capabilities through AI.
In my previous experience, I have successfully integrated AI capabilities into existing SDLC processes and architected scalable, API-driven applications using FastAPI and Docker. I pride myself on my ability to bridge the gap between complex technical implementation and strategic business consulting, ensuring that stakeholders at all levels understand the value and impact of the solutions being deployed.
I am particularly drawn to Truelogic's mission of driving digital disruption and the opportunity to work on the front lines with OpenAI's roadmap and Bland AI's platforms. I am eager to bring my expertise in model fine-tuning and prompt engineering to your dynamic team and contribute to the transformative projects you handle for Fortune 500 companies.
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Присоединяйтесь к Truelogic и создавайте будущее ИИ-решений для ведущих компаний США, работая удаленно из любой точки Латинской Америки!
Описание вакансии
About Truelogic
At Truelogic we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Job Summary
This role is a unique hybrid of high-level engineering, strategic consulting, and product advocacy. You won't just be showing people how to use our models; you'll be on the front lines helping them redefine what their businesses can actually do.
Responsibilities
- Embed directly with clients to design, build, and deploy custom AI solutions and autonomous LLM-based agents tailored to their specific business needs.
- Integrate AI capabilities into existing software development life cycles (SDLC) and core business processes to streamline workflows and drive measurable efficiency.
- Troubleshoot, debug, and maintain models within production environments to ensure long-term reliability, performance, and scalability.
- Translate high-fidelity customer insights and real-world technical challenges into actionable feedback for internal product and engineering teams to help shape the OpenAI roadmap.
- Develop and share best practices for LLM implementation to help partners and the broader developer community scale their AI initiatives effectively.
Qualifications and Job Requirements
- Write high-quality, production-ready code in Python, Java, C++, or TypeScript.
- Demonstrate a deep technical understanding of LLMs, model fine-tuning, and the nuances of prompt engineering.
- Architect and deploy scalable, API-driven applications utilizing modern tools such as Docker, Flask, or FastAPI.
- Communicate complex technical concepts effectively to both technical and non-technical stakeholders, ensuring alignment across the business.
- Apply expertise in AI/ML workflows to solve real-world problems, specifically within the context of Bland AI's voice and automation platforms.
What We Offer
- 100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
- Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD, that goes beyond typical market offerings.
- Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
- Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
- Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
- A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
- Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
- Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
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Навыки
- TypeScript
- C++
- Python
- Machine Learning
- LLM
- Prompt Engineering
- Docker
- Java
- AI
- FastAPI
- Flask
- Model Fine-Tuning
Возможные вопросы на собеседовании
Проверка практического опыта работы с LLM и понимания их ограничений.
Расскажите о наиболее сложной проблеме, с которой вы столкнулись при внедрении LLM в продакшн, и как вы её решили?
Оценка навыков архитектурного мышления и работы с современным стеком.
Как бы вы спроектировали масштабируемую систему для обработки тысяч одновременных запросов к AI-агенту, используя FastAPI и Docker?
Проверка навыков коммуникации и работы в роли Forward Deployed (на стороне клиента).
Как вы объясните нетехническому заказчику разницу между дообучением (fine-tuning) модели и использованием RAG для решения его бизнес-задачи?
Оценка опыта в области операционной надежности ИИ-решений.
Какие метрики и инструменты вы используете для мониторинга производительности и галлюцинаций моделей в реальном времени?
Проверка навыков интеграции ИИ в существующие процессы разработки.
Каким образом вы бы внедрили AI-инструменты в стандартный цикл SDLC крупной компании для повышения эффективности разработки?
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1000+ офферов получено
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