AI platform engineer

Ytech; Lisboa; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Health insurance

Flexible benefits

Career progression

Training and certification

Job summary

Компания Ytech приглашает опытного инженера платформы с фокусом на ИИ и автоматизацию рабочих процессов. Ваша задача — проектировать, внедрять и разворачивать AI-агентов в продуктивных средах, обеспечивая их устойчивость, безопасность и масштабируемость в рамках технологических проектов.

Требуется отличное владение Python и TypeScript, опыт работы с облачными платформами (предпочтительно GCP) и инфраструктурой как код (Terraform).

Qualifications

• Опыт разработки и внедрения AI-агентов в продуктивных средах.
• Навыки оркестрации агентов, вызова инструментов и контекстной инженерии.
• Опыт работы с MCP (Model Context Protocol) и серверами MCP.
• Опыт DevOps, CI/CD и инфраструктуры как код.

Responsibilities

• Проектирование и разработка рабочих процессов на базе AI-агентов для всего цикла разработки ПО.
• Интеграция агентов с Jira, репозиториями кода, CI/CD и инструментами разработки.
• Разработка и внедрение CI/CD пайплайнов, обеспечение безопасности и контроля качества.
• Оценка технологий, архитектура и принятие решений по реализации.

Skills

Python

TypeScript

CI/CD

DevOps

Cloud (GCP)

Tools

Terraform

Job description

Описание

At Ytech, we live and breathe technology. Our mission is to transform challenges into solutions and find new ways to innovate every day. Founded in 2020, we are a technology start-up operating in the IT and Telecommunications sectors, with a clear ambition: to shake up the market, break patterns and create real value through innovation. We are looking for a Senior AI Platform Engineer to join an innovative technology project focused on building and evolving an AI-based engineering platform.

Задачи

• Design and develop AI agent-based workflows to automate activities throughout the software development lifecycle.
• Develop, integrate and deploy AI agents ready for production environments.
• Implement agent orchestration mechanisms, tool calling, context management and communication between agents.
• Develop MCP Servers (Model Context Protocol) and connectors for integration with enterprise tools.
• Integrate AI agents with Jira, code repositories, CI/CD platforms and other engineering tools.
• Create evaluation frameworks to measure the quality, reliability and performance of agent- and LLM-based solutions.
• Implement guardrails, validation mechanisms and security controls, ensuring the safe and reliable execution of actions performed by AI agents.
• Develop, implement and optimize CI/CD pipelines.
• Automate infrastructure and environments through Infrastructure as Code (IaC).
• Develop internal tools, CLIs, workflow engines and reusable components.
• Improve the efficiency, reliability and experience of development teams.
• Independently identify problems and opportunities for automation.
• Evaluate technologies, propose solutions and take technical decisions on architecture and implementation.
• Evolve experimental solutions into scalable, secure and production-ready platforms.
• Collaborate with multidisciplinary teams, promoting engineering best practices and continuous improvement.

Требования

• More than 8 years of professional experience in Software Engineering.
• Previous experience in Senior, Lead or equivalent roles.
• Proven experience developing and deploying AI agents in real production environments.
• Strong knowledge of agent orchestration, tool calling and context engineering.
• Practical experience with Model Context Protocol (MCP) and developing MCP Servers.
• Experience defining and implementing evaluation mechanisms for AI agents and LLM-based solutions.
• Knowledge of guardrails, testing, validation and quality control of model responses.
• Solid experience in Platform Engineering, DevOps and CI/CD.
• Proficiency in Python and TypeScript.
• Experience with cloud infrastructure, preferably Google Cloud Platform (GCP) or equivalent.
• Experience with Terraform or other Infrastructure as Code solutions.
• Experience developing internal platforms, CLI tools, workflow engines or reusable engineering components.
• In-depth knowledge of the entire software development lifecycle (SDLC).
• Practical use of AI agent-assisted development tools.
• Strong analytical, problem-solving and technical decision-making skills.
• A high level of autonomy and the ability to work with limited supervision.
• C1-level English is mandatory.

Условия

• A technologically challenging project in Artificial Intelligence and Platform Engineering.
• Joining a team specializing in innovative technologies.
• Training and certification program.
• Health insurance.
• Flexible benefits.
• Structured career progression.
• Ongoing support from the Ytech team.