BOI (Board of Innovation)

ai engineer for enterprise applications

In short

Senior AI-инженер в BOI (Board of Innovation) — консалтинговая компания, которая проектирует и внедряет прикладные AI-продукты для крупных корпоративных и scale-up клиентов. Роль включает разработку multi-step агентов и LLM-систем с использованием инструментов, подключение их к данным и упаковку в надёжные сервисы, а также участие в клиентских переговорах от скоупинга до внедрения. Требуется 3+ года опыта продакшн AI-систем, сильный Python и знание современных паттернов LLM-инжиниринга (агенты, MCP, retrieval, structured outputs, evaluations), а также опыт CI/CD и продакшн-дебага. Формат работы — офис в Лиссабоне, возможны как постоянное трудоустройство, так и долгосрочный контракт.

Описание
BOI partners with large, ambitious organizations to design and build applied AI products that create measurable business impact. It helps enterprise and scale-up clients embed production-ready AI into their operations, decision-making, and products, with a focus on strong engineering and real-world adoption.
Задачи
•Design, implement, and ship AI systems that automate work, support decisions, and unlock new workflows for enterprise clients
•Build multi-step agents and tool-using LLM systems, connect them to structured and unstructured data sources, and package them into services that other engineers and applications can consume safely
•Own evaluations, observability, and feedback loops to iterate on AI systems with confidence
•Work closely with engineers, strategists, and designers
•Participate in client conversations from early scoping through delivery
•Translate business problems into technical solutions and contribute independently in client discussions
•Bring useful new models, tools, and patterns back to the team
•Challenge approaches that do not make sense and build systems that continue to be used after launch
Требования
•3+ Years of experience shipping AI-powered systems in production
•A background in computer science, math, physics, engineering, or another technical or scientific field
•Strong Python skills and knowledge of modern LLM engineering patterns, including agents, MCP, skills, tool use, retrieval, structured outputs, and evaluations
•Experience with CI/CD, testing, version control, and code quality
•Ability to balance accuracy, latency, cost, and maintainability
•Production systems debugging experience
•Ability to package AI logic into services that other engineers can use reliably
•Comfortable working in a consulting environment with changing domains and constraints
•Nice to have: A system others can review
Условия
•Open to permanent employment or long-term contractor arrangements
•The final setup depends on location, work authorization status, and local compliance requirements

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