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The AI Integration Engineer is responsible for designing, building, and continuously improving AI-powered integration solutions across the organization. Working within the integration team, this role is dedicated to AI initiatives: developing intelligent agents, improving tool calling and orchestration patterns, and evolving one-off AI implementations into standardized, reusable, evergreen solutions on the company's integration platform. This role bridges enterprise integration engineering and applied AI, ensuring data moving between customers, partners, and internal applications is enriched, transformed, and acted upon through modern inference-driven workflows.
The AI Integration Engineer is responsible for designing, building, and continuously improving AI-powered integration solutions across the organization. Working within the integration team, this role is dedicated to AI initiatives: developing intelligent agents, improving tool calling and orchestration patterns, and evolving one-off AI implementations into standardized, reusable, evergreen solutions on the company's integration platform. This role bridges enterprise integration engineering and applied AI, ensuring data moving between customers, partners, and internal applications is enriched, transformed, and acted upon through modern inference-driven workflows.
Adhere to Fracht's Core Values and Vision. Ability to operate in an open and honest manner and achieve a trusting and reliable relationship with team members, customers, and vendors. Ability to accept mistakes and learn from them without apportioning blame.
Learn and keep up to date with new developments in a rapidly evolving AI landscape. Work efficiently in an environment with multiple shifting priorities.
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Effectively listen and communicate clearly with team members, customers, and vendors. Ability to interpret and disseminate information promptly, translating technical AI concepts for business stakeholders.
Measure effectiveness in understanding problems and making timely practical decisions. Ability to work well in groups and/or individually to develop alternative solutions.
Justify responsible actions and decisions to management. Be a reliable team player who can make accurate decisions with sense of urgency.
Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent practical experience
Minimum 3–5 years of software development experience, with hands-on experience in enterprise integration
Demonstrated hands-on experience building LLM-powered applications or agents in production (tool calling, orchestration, prompt engineering, RAG)
Experience with integration platforms (MuleSoft strongly preferred; IBM Sterling Integrator, Boomi, or similar considered)
Familiarity with agentic frameworks and emerging agent orchestration and governance offerings in the enterprise integration ecosystem
Experience working with LLM provider APIs (e.g., OpenAI, Anthropic, Google) and/or model routing platforms
Experience developing REST APIs and real-time integrations with internal and external systems
Knowledge of scripting/transformation languages (e.g., DataWeave, Python, JavaScript)
Strong SQL scripting capabilities (T-SQL/DDL/DML)
Experience with full software development lifecycle and CI/CD practices
Minimum 2 years working in an Agile/Scrum environment
Expertise in tools like JIRA/Confluence, SharePoint, and common program management tools
Experience with monitoring and observability platforms preferred
Industry experience within international supply chain, transportation, or logistics preferred
Strong written and verbal skills, both business and technical
Family-owned Swiss freight forwarder providing multimodal logistics and supply-chain services to global businesses.
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Mid · 3+ years experience
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