Forward Deployed Engineer - AI Agents

About the role

Gözen Digital Aviation (GDA), the technology company of Gözen Group, builds AI solutions for aviation software and has set up an AI Transformation Office. It is looking for a Forward Deployed Engineer to work alongside business and customer teams, understand how their operations really run and build AI agents that solve specific problems, taking solutions from discovery through deployment and keeping them improving.

Key responsibilities

• Work with customer teams to understand their workflows, constraints and measures of success.
• Turn loosely defined operational problems into clear technical plans and systems that work in production.
• Design and build AI agents that integrate with business teams' tools, data and processes.
• Define agent architecture and implement orchestration, including single- or multi-agent setups, tool and permission design, handoffs and human approval steps.
• Own deployments from prototype through production rollout, monitoring and continuous improvement.
• Test with real data, build evaluation datasets, measure business outcomes and refine solutions.
• Make practical trade-offs between architecture, reliability, speed and user experience.
• Work with Product and Engineering to improve the core platform and turn project lessons into reusable tools, patterns and best practices.

Required profile

• 5+ years of experience in software development or solving complex technical problems.
• Strong foundation in software architecture, system design and production engineering, across APIs, integrations, data flows and distributed systems.
• Hands-on knowledge of LLMs and AI agent systems, including tool/function calling, MCP, multi-agent orchestration, RAG and prompt design.
• Ability to bring structure to open-ended problems, strong ownership, and clear communication with operational and technical stakeholders.
• Excellent English.
• Nice to have: experience in forward deployed engineering, solutions engineering or consulting; experience building AI agents or workflow automation with tools such as Claude, OpenAI Agents SDK, LangGraph, CrewAI or n8n; familiarity with LLM evaluation, observability and reliability in production; experience deploying systems in complex enterprise environments.