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Senior Software Engineer (LLM)
Оценка ИИОтличная вакансия в стабильной международной компании с возможностью работать над передовыми GenAI проектами. Предлагается гибкий формат работы, широкий соцпакет и работа с известными мировыми брендами.
Сложность вакансии
Оценка ИИВысокая сложность обусловлена требованием более 8 лет опыта в разработке и глубоких знаний в специфической области LLM (RAG, агенты, LangChain). Также необходим опыт работы с облачными платформами и готовность к высокой степени ответственности за архитектуру.
Анализ зарплаты
Оценка ИИУказанная роль Senior уровня в области AI/LLM на международном рынке (особенно с учетом работы на регионы Латинской Америки и Восточной Европы) обычно оплачивается выше среднего по рынку ПО. Ожидаемый диапазон для таких специалистов составляет $5,000–$8,000 в месяц при работе на международные компании.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer (LLM) position at Exadel. With over 8 years of experience in software engineering and a deep focus on building production-ready AI systems, I am excited about the opportunity to contribute to your comprehensive GenAI technology stack. My background includes designing full-stack applications and implementing advanced LLM patterns such as RAG, tool-use, and autonomous agents, which aligns perfectly with your team's mission.
In my previous roles, I have successfully taken AI concepts from prototype to production, ensuring high standards of safety, observability, and cost-efficiency. I am particularly impressed by Exadel's 25-year legacy of engineering leadership and your partnership with prestigious clients like Microsoft and Google. I am confident that my expertise in LangChain, vector databases, and secure SDLC practices will allow me to drive architecture and mentor engineers effectively within your product integration streams.
Составьте идеальное письмо к вакансии с ИИ-агентом
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Описание вакансии
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About the Client
Founded in the Netherlands over 180 years ago, the customer is a global leader in information services and expert solutions for professionals in the health, tax and accounting, risk and compliance, finance, and legal sectors. As of 2017, the company was recognized by Corporate Knights as one of the 100 most sustainable companies in the world. The company currently operates in over 150 countries.
Join a team building a comprehensive AI technology stack (focused on GenAI) that accelerates AI capabilities across hundreds of customer products. The platform integrates with major AI providers and enables scalable, production-ready AI solutions for professional users.
The team is divided into core development and product integration streams.
What You’ll Do
- Design and implement full-stack applications, AI agents, and platform components that enable rapid GenAI agent development, validation, and deployment
- Build developer tooling, CI/CD, and observability for safe, fast iteration (evals, canaries, rollout/rollback, cost and quality telemetry)
- Apply secure SDLC and privacy-by-design practices (threat modeling, least privilege)
- Collaborate with product, UX, and domain experts to deliver customer-focused solutions with measurable outcomes
- Apply current LLM patterns (RAG, retrieval, routing, tool-use, evals) to deliver measurable customer value — faster, more reliable AI systems; reduced time-to-decision; improved trust/safety metrics; and lower cost per query
- Lead by example and be heavily hands-on: drive architecture, mentor engineers, and take ownership of larger projects
What You Bring
- 8+ years of professional software engineering experience
- Strong full-stack development skills and cloud experience (AWS, Azure, or GCP)
- Expert in at least one, and proficient across the others:
+ AI agent development and evaluation
+ Backend development
+ Frontend development
+ Cloud services (AWS/Azure/GCP)
+ CI/CD and Infrastructure as Code
+ Site Reliability Engineering (SRE)
+ Quality engineering / testing strategy
+ Secure SDLC and privacy by design
- Proven track record delivering secure, reliable, cloud-native systems to production
- Excellent problem-solving, ownership, and cross-functional communication
- US Central Time overlap (9–11 AM CDT).
Nice to have
- Proven ability to deliver software products independently or as part of a small, fast-paced team
- Experience taking AI agents from concept to production, including safety evaluations, iterative testing (e.g., A/B testing), and continuous improvement
- Experience with LangChain, LangGraph, MCP; vector/RAG systems; OpenSearch
- Experience with traditional ML tasks such as training, deployment, and monitoring
- Understanding of how LLMs work, their failure modes, and techniques such as fine-tuning and model adaptation
- Familiarity with regulatory frameworks such as SOC 2, HIPAA, etc.
English level
Upper-Intermediate
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Your Benefits at Exadel
Exadel benefits vary by location and contract type. Your recruiter will fill you in on the details.
- International projects
- In-office, hybrid, or remote flexibility
- Medical healthcare
- Recognition program
- Ongoing learning & reimbursement
- Well-being program
- Team events & local benefits
- Sports compensation
- Referral bonuses
- Top-tier equipment provision
Exadel Culture
We lead with trust, respect, and purpose. We believe in open dialogue, creative freedom, and mentorship that helps you grow, lead, and make a real difference. Ours is a culture where ideas are challenged, voices are heard, and your impact matters.
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Навыки
- AWS
- Azure
- Python
- LLM
- SRE
- CI/CD
- RAG
- React
- Google Cloud Platform
- Infrastructure as Code
- Generative AI
- Node.js
- LangChain
- Vector Databases
- OpenSearch
Возможные вопросы на собеседовании
Проверка практического опыта работы с современными LLM-фреймворками.
Расскажите о вашем опыте использования LangChain или LangGraph для создания сложных AI-агентов. С какими основными трудностями вы столкнулись?
Оценка понимания архитектуры RAG и методов оптимизации поиска.
Как вы подходите к оценке качества (evaluation) RAG-систем? Какие метрики вы используете для измерения точности и релевантности ответов?
Проверка навыков обеспечения безопасности в AI-приложениях.
Какие практики Secure SDLC вы применяете при разработке приложений на базе LLM для предотвращения таких угроз, как prompt injection?
Оценка навыков работы с инфраструктурой и масштабируемостью.
Опишите ваш опыт настройки CI/CD и систем мониторинга (observability) специально для AI-сервисов. Как вы отслеживаете стоимость и качество генерации в реальном времени?
Проверка лидерских качеств и умения работать в команде.
Приведите пример, когда вы руководили архитектурным решением в крупном проекте. Как вы балансировали между скоростью разработки и техническим долгом?
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