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.

Python AI Engineer

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

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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

Saistītās vakances

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