knowmad mood
knowmad mood
knowmad mood ir starptautisks digitālās transformācijas un tehnoloģiju pakalpojumu uzņēmums, kas palīdz lieliem uzņēmumiem modernizēt darbību, klientu pieredzi un tehnoloģiju platformas. Uzņēmuma darbs apvieno konsultācijas, programmatūras izstrādi un tehniskās zināšanas digitālo kanālu un komercijas, UX/UI, mobilo risinājumu, platformu, datu un analītikas, mākoņinfrastruktūras, tostarp AWS, mākslīgā intelekta, blokķēdes, lietu interneta, DevOps, kvalitātes nodrošināšanas, testēšanas, drošības, risinājumu arhitektūras, kā arī Atlassian un IT pārvaldības jomā. Uzņēmums apkalpo B2B klientus tādās nozarēs kā banku pakalpojumi, telekomunikācijas, mazumtirdzniecība, veselības aprūpe, enerģētika, autobūve un loģistika, koncentrējoties uz mērogojamiem digitālajiem risinājumiem un ilgtermiņa tehnoloģisko transformāciju.

AI and Automation Architect – n8n, Generative AI, and Multi-Agent Systems | knowmad mood | Spain Remote

Design AI and automation solutions with n8n, multi-agent systems, and LLMs to support knowmad mood’s digital transformation. Lead scalable architectures and high-impact enterprise automation initiatives.

Apraksts

  • Design, build, and deploy advanced automation solutions powered by AI, intelligent agents, and scalable architectures
  • Lead the design and implementation of generative AI and automation solutions that deliver measurable organizational impact
  • Create highly complex end-to-end automation workflows
  • Define resilient, scalable system architectures
  • Implement AI agents for enterprise use cases
  • Integrate corporate systems with cloud services
  • Develop solutions using generative models and multi-agent systems
  • Contribute to digital transformation initiatives with direct business impact
  • Apply advanced prompt engineering and context engineering techniques

Prasības

  • Experience with enterprise automation and generative artificial intelligence
  • Proficiency in n8n, generative AI, and multi-agent systems
  • Ability to design highly complex end-to-end automation workflows
  • Ability to define resilient, scalable architectures
  • Knowledge of MCP (Model Context Protocol) architectures
  • Experience integrating LLMs into business processes
  • Experience with virtual assistants and intelligent workflows
  • Experience integrating corporate systems and cloud services
  • Knowledge of cloud platforms and on-premises environments
  • Advanced prompt engineering and context engineering skills

Priekšrocības

  • Permanent employment contract
  • Remote work model with the option to work from an office selected by the employee
  • Flexible schedule with 8:30 start and 18:00 finish; shorter Fridays from 8:00 to 15:00; shorter schedules in July and August from 8:00 to 15:00
  • 22 vacation days plus 2 personal days
  • December 24 and 31 off
  • Option to receive 12 or 14 salary payments
  • Flexible compensation including meal card, childcare voucher, health insurance, training, and other tax-advantaged benefits
  • Employee benefits club with discounts on technology, leisure, and training
  • Access to Udemy Business, language courses, official certifications, and technical training
  • Career development plan
  • Nutrition, physical activity, and emotional well-being programs
  • 24/7 personal and family assistance
  • Diverse, multicultural work environment
  • Social activities and events for team connection

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