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AI Engineer

Dura DigitalCały światCały świat

Źródło:Himalayas
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano11 września 2026
Wykryte przez nas
Wykryte przez nas11 września 2026
Zarobki
ZarobkiDo uzgodnienia

Dura Digital is a global digital transformation and consulting company that helps organizations turn emerging technologies into practical business outcomes. We are looking for an AI Engineer to design, build, and ship AI-powered features that go into production and stay there, working across the full path from problem framing to deployment.

Key responsibilities

  • Build and deploy production AI features, including LLM-backed workflows, retrieval-augmented generation, and agentic systems.
  • Own the data path behind features, including ingestion, chunking, embedding, and retrieval quality.
  • Design evaluation frameworks to define what success looks like, building offline eval sets and online feedback loops.
  • Integrate AI capabilities into existing applications through well-designed APIs, focusing on latency, cost, and reliability.
  • Apply responsible-AI practices, including data privacy, PII handling, and clear documentation of model limitations.

Requirements

  • 3+ years of professional software engineering experience, with at least 1+ year building with LLMs or ML systems in production.
  • Strong proficiency in Python and working knowledge of at least one of TypeScript, C#, Java, or Go.
  • Demonstrated experience shipping an AI feature end-to-end, including evaluation and iteration.
  • Practical command of the modern LLM toolkit, including prompt design, structured output, and context management.
  • Experience with retrieval systems and vector search, along with cloud deployment experience on Azure, AWS, or GCP.

What we offer

  • Opportunity to work on high-impact digital transformation projects for diverse clients.
  • Collaborative environment working alongside product, design, and platform engineering teams.
  • Focus on thoughtful innovation and high-quality delivery in a fully remote setting.
  • Contribution to internal standards, reference architectures, and reusable components.

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