Job Description

Job Description
We are looking for a full stack engineer with experience in artificial intelligence and cloud architecture to design, build and scale end-to-end AI applications. The selected person will be responsible for the AI ​​platform on Azure, integrations with external systems and the definition of engineering, security and deployment standards.
Responsibilities:
Build and deploy end-to-end AI applications, including backend, APIs, data and user interface.
Transform ambiguous problems into functional software solutions quickly and efficiently.
Use AI-based tools and workflows to accelerate development.
Apply AI patterns such as RAG, agents, prompt engineering and evaluation systems.
Design, build and scale the AI ​​platform on Azure in multi-region environments.
Be responsible for core components such as APIM, identity, network, observability and data.
Define CI CD standards, infrastructure as code, testing and deployment.
Integrate internal and external systems such as CRM, customer service platforms and Microsoft 365.
Design and implement APIs, webhooks and event-based systems.
Integrate security, privacy and compliance requirements such as GDPR, ISO 27001 and SOC 2.
Collaborate with security and GRC teams on data protection and access control.
Document architecture, systems and processes.
Monitor systems in production and optimize performance, cost and reliability.
Requirements:
Demonstrated experience building end-to-end full stack applications.
Practical experience with AI models and LLMs such as Azure OpenAI, OpenAI or Anthropic.
Experience with RAG, vector databases, and agent-based systems.
Fluent use of AI-assisted development tools.
Backend experience with Python, C sharp or Node.js.
Frontend knowledge with React, Next.js or similar.
Experience working with Azure and cloud architecture.
Knowledge of infrastructure as code and CI CD pipelines.
Experience integrating SaaS through APIs and events
Understanding of systems in production, observability and reliability.
Working knowledge of security and compliance.
Ability to work autonomously in remote environments.
Product mindset and problem solving.
Good communication with technical and non-technical profiles.

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