AI Engineer / Agent Developer
Who we are
The next step of your career starts here, where you can bring your own unique mix of skills and perspectives to a fast-growing team.
Metyis is a global and forward-thinking firm operating across a wide range of industries, developing and delivering AI & Data, Digital Commerce, Marketing & Design solutions and Advisory services. At Metyis, our long-term partnership model brings long-lasting impact and growth to our business partners and clients through extensive execution capabilities
With our team, you can experience a collaborative environment with highly skilled multidisciplinary experts, where everyone has room to build bigger and bolder ideas. Being part of Metyis means you can speak your mind and be creative with your knowledge. Imagine the things you can achieve with a team that encourages you to be the best version of yourself.
We are Metyis. Partners for Impact.
What we offer
Develop your professional career working with one of the major brands in the fashion industry
Lead a fast-growing international and diverse team
Driving to success a best in class E2E demand and supply planning initiative to improve the whole supply chain of the entire organization
Working with a world leading software vendor and one of the most advanced integrated business planning platforms in the world
Driving high-impact insights enhances decision-making across the entire organization
What you will do
Design, develop, and maintain AI-powered agents, copilots, and automation solutions supporting SAP migration and enterprise data platform modernization.
Build scalable backend services, APIs, orchestration workflows, and automation components for AI-enabled migration solutions.
Develop AI capabilities that analyze SAP BW objects, ABAP code, metadata, lineage, dependencies, interfaces, and migration complexity.
Build Retrieval-Augmented Generation (RAG) and context-management solutions using enterprise documentation, metadata, business rules, code repositories, and data catalogs.
Integrate AI applications with SAP repositories, DevOps pipelines, documentation platforms, source control systems, and enterprise data platforms.
Support migration activities including object discovery, impact analysis, source-to-target mapping, documentation generation, reconciliation, testing, and validation.
Partner with SAP Architects and domain experts to convert business knowledge into reusable AI context, structured metadata, and intelligent automation.
Implement human-in-the-loop review processes, approval workflows, traceability, and quality controls for AI-generated outputs.
Ensure AI solutions meet enterprise standards for security, governance, monitoring, observability, and responsible AI.
Contribute to reusable AI frameworks, development standards, automation accelerators, and engineering best practices
What you will bring
4+ years of experience in Software Engineering, AI Engineering, Data Engineering, Automation, or Enterprise Application Development.
Strong proficiency in Python and experience building production-grade applications, APIs, backend services, or automation platforms.
Hands-on experience developing AI applications using LLMs, AI agents, Retrieval-Augmented Generation (RAG), tool/function calling, and workflow automation.
Experience integrating AI solutions with enterprise applications, APIs, databases, documentation platforms, DevOps tools, and code repositories.
Strong understanding of software engineering best practices including Git, CI/CD, automated testing, secure development, code quality, and observability.
Experience working with Microsoft Azure, Azure AI Services, Azure OpenAI, Azure AI Foundry, Databricks, Microsoft Fabric, or similar cloud platforms.
Strong SQL and data analysis skills with experience validating data, investigating discrepancies, and working with source-to-target mappings.
Knowledge of enterprise data platforms, metadata management, data lineage, data quality, and analytics.
Understanding of AI governance, security, responsible AI principles, model evaluation, and enterprise access controls.
Excellent analytical, problem-solving, and stakeholder communication skills.
Nice to Have
Experience with SAP BW, SAP HANA, ABAP, SAP metadata, extractors, APIs, or SAP integration patterns.
Experience supporting SAP modernization, ERP migration, or enterprise transformation initiatives.
Exposure to automating technical documentation, code analysis, testing, migration support, or reconciliation processes.
Experience implementing human-in-the-loop AI workflows, evaluation frameworks, and quality assurance controls.
Experience collaborating across AI, Data Engineering, SAP, BI, CloudOps, and enterprise architecture teams.