Manhattan WMOS Engineer
ShyftLabs
Support Manhattan WMOS implementations and operations as a WMS Engineer at ShyftLabs. ShyftLabs builds data products and digital solutions for Fortune 500 companies.
Atvērt
WADE Group combines business intelligence consulting with a data insights SaaS platform to help organizations improve how they manage and use data. Its consulting work supports BI and AI maturity and strategic roadmap development, while its platform automates data management to reduce operational risk and speed access to business insights. The company works across consulting, marketing, and SaaS.
Senior AI Engineer, Mabriq
Build intelligent applications, AI agents, and data-driven solutions at Mabriq, a data and AI consultancy. The role focuses on Azure, Microsoft Foundry, RAG, backend development, and cloud platforms.
Apraksts
- Design and build AI solutions using Microsoft Foundry and Azure AI
- Create intelligent applications and AI agents for business-critical processes
- Implement RAG architectures and knowledge-based AI solutions
- Connect LLMs with Microsoft 365, business systems, data platforms, and operational processes
- Develop backend services, APIs, and integrations
- Deliver production systems that scale securely and cost-effectively
- Advise clients as a technical consultant and solution architect
- Help guide technical decisions, innovation, and the growth of Mabriq’s AI offering
Prasības
- At least seven years of professional software development experience
- Experience designing and delivering production-ready solutions
- Strong backend development skills in Go, Python, or TypeScript
- Experience with Azure or another modern cloud platform
- Experience designing APIs and integrations
- Experience with infrastructure as code, such as Terraform
- Experience with CI/CD using GitHub Actions or Azure DevOps
- Solid understanding of architecture, security, and modern development practices
- Strong spoken and written Swedish and English
- Experience with Microsoft Foundry or Azure AI is an advantage
- Experience with LLM-based solutions, RAG, AI evaluation, Kubernetes, container platforms, AI gateways or LLM proxies, observability tools, Microsoft Fabric, Databricks, agentic AI, AI agents, or MCP is an advantage
Priekšrocības
- Certifications, training, conferences, and professional development
- Significant freedom to plan your work
- Flexibility, responsibility, trust, and work-life balance
- A chance to influence technology choices, architecture, services, and the company’s development
- Work alongside specialists in data engineering, analytics, AI, and cloud
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Atvērt