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knowmad mood
knowmad mood
1.001 – 5.000 Angajați
Asistență medicalăConsultanțăLogistică
knowmad mood este o companie multinațională de transformare digitală și servicii tehnologice, care ajută organizațiile mari să își modernizeze operațiunile, experiențele clienților și platformele tehnologice. Activitatea sa reunește consultanța, dezvoltarea de software și expertiza tehnică în domenii precum canalele digitale și comerțul, UX/UI, aplicațiile mobile, platformele, datele și analiza, infrastructura cloud inclusiv AWS, inteligența artificială, blockchain, IoT, DevOps, asigurarea calității, testarea, securitatea, arhitectura soluțiilor, precum și guvernanța Atlassian și IT. Compania deservește clienți B2B din industrii precum sectorul bancar, telecomunicațiile, retailul, sănătatea, energia, industria auto și logistica, punând accent pe soluții digitale scalabile și pe transformarea tehnologică pe termen lung.
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Locurile de muncă ale companiei

Python AI Engineer

Build generative AI agents with Python, LLMs, and RAG architectures, creating scalable enterprise solutions that support knowmad mood’s digital transformation.

ESSpaniaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăLimbă Obligatorie: spaniolăInginer backendInginer software
DockerNoSQLPython

Descriere

  • Design, build, and deploy AI agents for enterprise use cases
  • Implement architectures using LLMs, RAG, and multi-agent systems
  • Connect AI agents to corporate applications and systems through APIs and services
  • Maintain the stability, scalability, and performance of production solutions
  • Set up observability, monitoring, and traceability mechanisms
  • Investigate production incidents and conduct root cause analysis
  • Improve prompts, execution flows, and foundation model usage
  • Work with architecture, platform, and business teams
  • Promote sound practices for developing, deploying, and operating AI solutions

Cerințe

  • At least three years of experience in software development, platform engineering, or distributed systems
  • Demonstrated experience building applications with Python
  • Practical knowledge of LLMs and generative AI applications
  • Experience designing and implementing RAG architectures
  • Experience developing APIs and microservices
  • Knowledge of relational and NoSQL databases
  • Experience with Docker, Git, and CI/CD processes
  • Experience troubleshooting and resolving incidents in production environments
  • Knowledge of observability, monitoring, logging, metrics, and traceability
  • B2-level English

Beneficii

  • Permanent employment contract
  • Hybrid arrangement with three office days and two remote days
  • Internal training and access to certifications
  • Flexible compensation plan including health insurance, transport, childcare vouchers, and meal vouchers
  • Referral program with compensation for recommendations
  • Company events, meetups, tech days, and talks
  • 26 days of leave: 22 vacation days, two discretionary days, plus December 24 and 31 as standard holidays
  • Flexible start between 7:00 and 10:00, with a one-hour lunch break
  • 40-hour workweek

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