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Senior Software Engineer / Solutions Architect (Python & GenAI)
Оценка ИИОтличная вакансия для опытных инженеров: работа с передовым стеком (GenAI, Anthropic, AWS), возможность роста до архитектора и полностью удаленный формат. Компания является признанным экспертом в AI, что гарантирует интересные проекты.
Сложность вакансии
Оценка ИИРоль требует редкого сочетания глубокой экспертизы в Python, практического опыта внедрения GenAI/RAG в продакшн и навыков Solution Architect для работы с клиентами. Высокая планка ожиданий по части автономности и участия в пресейл-процессах.
Анализ зарплаты
Оценка ИИЗарплата в вакансии не указана, но для позиции Senior/Architect в Сербии на удаленной основе в международной компании рыночный диапазон составляет $5000–$8000. Учитывая узкую специализацию в GenAI, компенсация может быть выше среднего по рынку.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Software Engineer / Solutions Architect position at Provectus. With over 7 years of experience in building production-grade systems and a deep focus on Python and Generative AI, I am excited about the opportunity to contribute to your AWS Premier Consulting team. My background includes designing complex RAG systems and agentic AI workflows, which aligns perfectly with your mission of delivering high-impact AI solutions for global enterprises.
Throughout my career, I have balanced technical leadership with hands-on development, often leading discovery phases and architectural reviews. I am a proactive user of AI-assisted development tools like Claude Code and Copilot, and I have extensive experience with AWS services such as Bedrock and SageMaker. I am confident that my ability to bridge the gap between business requirements and technical execution will make me a valuable asset to Provectus and your clients.
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Присоединяйтесь к лидерам в области GenAI и AWS, чтобы создавать инновационные решения для глобальных корпораций!
Описание вакансии
Provectus is an AWS Premier Consulting Partner and AI consultancy featured in Forrester's AI Technical Services Landscape, with 15+ years of experience and 400+ engineers. We build production AI for global enterprises in partnership with Anthropic, Cohere, and AWS.
We are looking for a Senior Software Engineer or Solutions Architect with deep Python and Generative AI experience. Someone who ships Python services, RAG systems, tools, and agents daily, with AI embedded across their entire workflow.
You might be an experienced SA ready to hit the ground running, or a Senior Engineer and Tech Lead ready to step into that role. Either way, you will own the technical vision, lead discovery, drive architecture decisions, and become the authority clients and teams rely on.
What You’ll Do:
- Write clean, production-grade Python across AI integrations, backend services, and RESTful APIs
- Implement and optimize RAG systems for production use cases
- Design and build LLM-based and agentic AI solutions that address real client business challenges
- Own the technical direction of client engagements from discovery through delivery
- Support presales: discovery calls, technical proposals, scoping, and client-facing demos
- Lead architecture reviews, produce technical design documents, and contribute to standards across the Python practice
- Mentor engineers, lead code reviews, and share knowledge across the team
- Build and maintain strong relationships with key client stakeholders as a trusted technical advisor
What You’ll Bring:
Mindset
- Full-stack mindset, comfortable across AI, backend development, and cloud infrastructure
- Already using AI tools in your daily workflow (Claude Code, Copilot, or similar)
- Proactive and self-directed; you own outcomes end-to-end and spot problems before they're handed to you
- B2+ English, comfortable collaborating across distributed, multicultural teams
Presales & Client Engagement
- Owns the client technical relationship; leading discovery, decomposing ambiguous requirements into technical components, presenting architecture, and pushing back on scope when it doesn't match timeline or budget
- Produces scoped, phased delivery plans with clear deliverables, dependencies, and risks
- Experience with cost estimation and cloud architecture cost optimization
Python, AI & Cloud
- 7+ years building and running production systems not only demos and POCs
- Strong understanding of AI/ML concepts and experience integrating AI/ML components into solutions
- Strong Python proficiency: OOP, design patterns, clean architecture, and performance optimization
- Experience building RESTful APIs with FastAPI, Django REST, or Flask
- Experience making and defending architectural trade-off decisions: microservices vs monolith, sync vs event-driven, SQL vs NoSQL
- Strong testing practices: pytest, mocking, and integration tests for AI systems
- Experience with Docker and Kubernetes
- Hands-on experience building production LLM-based applications and agentic workflows
- Experience with LLM APIs (OpenAI, Anthropic, or AWS Bedrock)
- Experience building and optimizing RAG systems
- Understanding of LLM evaluation techniques and quality assurance approaches
- Experience deploying and maintaining AI/ML models in production environments
- Hands-on experience with AWS (SageMaker, Bedrock, Lambda, ECS, S3, SQS, ECR, or similar); GCP considered
- Experience with React/Vue
- AWS and Claude Code Certifications
Nice to Have
- Experience with Streamlit or Gradio for AI prototyping
- Modern Python tooling (ruff, uv, pyproject.toml, pyright)
- CI/CD pipeline experience (GitHub Actions, GitLab CI)
- Experience in an additional language (Go, Node.js, or Rust)
- Front-end experience
What We Offer:
- Opportunity to work with cutting-edge AI and cloud solutions
- Internal training programs (Leadership, Public Speaking, and more) with full support for AWS and other professional certifications
- Career growth: a clear path toward SA or beyond; we actively develop our engineers
- Access to the latest AI tools and premium subscriptions
- Long-term B2B collaboration
- Remote with flexible hours
- Private medical insurance or a budget for your medical needs
- Paid sick leave, vacation, and public holidays
- Equipment and all the tech you need for comfortable, productive work
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- AWS
- Python
- Kubernetes
- GitHub Actions
- Vue.js
- PostgreSQL
- RAG
- React
- Docker
- Generative AI
- NoSQL
- PyTest
- FastAPI
- AWS Bedrock
- Flask
- Amazon SageMaker
- Django REST Framework
Возможные вопросы на собеседовании
Проверка опыта проектирования сложных AI-систем и понимания архитектурных компромиссов.
Опишите архитектуру RAG-системы, которую вы внедряли в продакшн: с какими проблемами качества ответов или производительности вы столкнулись и как их решили?
Оценка навыков Solution Architect и умения работать с неопределенностью.
Как вы подходите к этапу Discovery, когда требования клиента к AI-продукту размыты, а бюджет и сроки жестко ограничены?
Проверка технических знаний Python и современных стандартов разработки.
Какие преимущества дают инструменты вроде ruff и uv в современном Python-стеке, и как вы организуете CI/CD для AI-сервисов?
Оценка опыта работы с облачной инфраструктурой AWS в контексте AI.
В каких случаях вы выберете AWS Bedrock вместо развертывания собственных моделей на SageMaker, учитывая стоимость и масштабируемость?
Проверка навыков менторства и лидерства.
Расскажите о случае, когда вам пришлось защищать архитектурное решение перед командой или клиентом, столкнувшись с серьезным сопротивлением.
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