AI Integration Engineer

About the role

Gözen Digital Aviation (GDA), the technology company of the Gözen Group, builds AI solutions for software used across its aviation group companies. Through its newly established AI Transformation Office, it integrates AI agents into airline, ground handling, security, training and support operations. The role is a hands-on software engineering position combining backend engineering and applied AI, focused on adapting, integrating and customizing AI agents for real workflows rather than building the core platform.

Key responsibilities

• Integrate AI agents with existing applications, APIs and operational workflows.
• Design and build the backend services and data pipelines these integrations depend on.
• Configure and deploy agents for specific use cases, and develop tool calling and MCP integrations with appropriate permissions.
• Work with business teams and the Deployment Strategist to clarify requirements and agree on how each integration will be tested.
• Test, troubleshoot and optimize integrations in representative environments, document interfaces and work with teams on production readiness.
• Share recurring integration needs with Product and R&D so reusable capabilities can be built into the platform.

Required profile

• 4+ years of software development experience, including production backend systems.
• Strong knowledge of HTTP, REST APIs and modern integration patterns such as webhooks, message queues and event-driven architecture.
• Hands-on experience integrating LLMs into applications using tool/function calling, Model Context Protocol (MCP) and prompt design.
• Good command of English for technical documentation and correspondence.
• Strong interpersonal skills and confidence working with business stakeholders.
• Nice to have: aviation experience, experience integrating enterprise or legacy systems, and experience in early-stage startups or fast-paced product teams.

Required skills

• At least one backend language such as C#/.NET, Python, TypeScript or Go.
• Cloud environments and quick delivery across the stack.
• Nice to have: AWS, GCP or Azure, Docker or Kubernetes, vector databases, embedding models, RAG systems, and agent orchestration tools such as LangGraph, CrewAI, n8n or OpenAI Agents SDK.

What we offer

• Shape AI transformation from day one and see agentic AI in action in live operations.
• Work across the Group in airline, aviation services, security and training operations.
• Collaborate directly with decision-makers and move solutions into production quickly.
• Learning resources and structured development, including a Future Leaders program with external mentoring.
• Clear goals, regular reviews and two-way feedback.