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Senior Software Engineer (Python + AI)
Отличная вакансия с современным стеком (GenAI, LangGraph), работой на престижного клиента и гибкими условиями работы в глобальной компании.
Сложность вакансии
Высокая сложность обусловлена требованиями к глубоким знаниям в области Generative AI, LangGraph и RAG, а также необходимостью технического лидерства в проекте для крупного клиента.
Анализ зарплаты
Зарплата не указана, но для позиции Senior Python/AI Engineer в регионе Восточной Европы и СНГ рыночные вилки обычно начинаются от $4500-5000 при работе на международные компании. Учитывая сложность стека (LLM, LangGraph), компенсация может быть выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer (Python + AI) position at Exadel. With over 5 years of experience in software development and a deep focus on Python, FastAPI, and Generative AI, I am excited about the opportunity to contribute to your projects for a Big Four client. My background in building RAG pipelines and working with LangChain/LangGraph aligns perfectly with your current tech stack and the innovative nature of this role.
In my previous roles, I have successfully implemented asynchronous programming with asyncio and designed scalable microservices architectures. I am particularly drawn to this position because of the focus on multi-modal GenAI models and agentic AI applications. I am confident that my technical leadership skills and pragmatic approach to problem-solving will allow me to mentor the team effectively while delivering high-quality enterprise solutions.
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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
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
The team you will join designs, develops, and deploys innovative enterprise technology and AI-driven tools to support the delivery of tax services. It is a dynamic group combining expertise in tax, software engineering, change management, and project management, working on initiatives from tool design and deployment to training development and engagement management.
Project Tech Stack
Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, MongoDB, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot, LangGraph, LangChain, RAG Pipelines, Multi-modal LLMs
What You’ll Do
- Providing requirements analysis, system design, Python and AI development, troubleshooting, performance optimization, and technical support
- Designing, developing, and maintaining scalable Python applications using FastAPI and Pydantic
- Implementing asynchronous and parallel programming solutions with asyncio
- Conducting thorough code reviews to ensure adherence to established guidelines and maintain high code quality
- Integrating and experimenting with multi-modal GenAI models (text-to-image, text-to-audio, etc.)
- Working both independently and collaboratively within the team
- Providing clear instructions to team members and helping coordinate day-to-day operations
- Communicating with the client on a regular basis
- Providing technical leadership for the team – mentor, coach, and lead by example
What You Bring
- 5+ years of background in development
- Strong background in Python, FastAPI
- Experience with Pydantic for data validation and schema definition in Python applications
- Hands-on experience with asyncio, asynchronous/parallel programming
- Experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction
- Understanding of RAG pipelines and hybrid search with vector databases
- Strong analytical and problem-solving abilities with a detail-oriented mindset
- Pragmatic approach to balancing process against flexibility in achieving objectives
- Excellent organizational skills, including the capacity to self-manage, structure work, set priorities, and work to deadlines
- Excellent troubleshooting and communication skills
Nice to have
- Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more
- Familiarity with agentic protocols such as MCP and A2A is a strong plus
- Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable
- Familiarity with .NET is considered a plus
- Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes
- Solid understanding of microservices architecture and its implementation in scalable systems
English level
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
- Azure
- Python
- LLM
- Kubernetes
- Microservices
- RAG
- Docker
- Generative AI
- FastAPI
- MongoDB
- LangChain
- LangGraph
- Vector Databases
- Pydantic
- asyncio
Возможные вопросы на собеседовании
Проверка практического опыта работы с асинхронностью в Python, что критично для высоконагруженных FastAPI приложений.
Расскажите о наиболее сложных проблемах, с которыми вы сталкивались при использовании asyncio в продакшене, и как вы их решали?
Вакансия делает упор на современные AI-фреймворки. Важно понять, как кандидат управляет состоянием в сложных агентах.
Как вы реализуете управление состоянием (state management) и циклы обратной связи (human-in-the-loop) в сложных рабочих процессах LangGraph?
RAG — ключевая часть стека. Вопрос проверяет понимание оптимизации поиска.
Какие стратегии гибридного поиска и методы реранжирования (re-ranking) вы использовали для улучшения точности RAG-систем?
Роль предполагает лидерство и общение с клиентом из Big Four.
Опишите ситуацию, когда вам нужно было объяснить сложное техническое решение или ограничение AI-модели нетехническому заказчику.
Проверка навыков проектирования систем.
Как бы вы спроектировали масштабируемую архитектуру для обработки мультимодальных данных (текст, изображения, аудио) с использованием микросервисов?
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