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Lead AI Engineer

ItransitionPolskaPolska

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
Doświadczenieenums.experience.LEAD
Dodano
Dodano15 września 2026
Wykryte przez nas
Wykryte przez nas17 września 2026
Zarobki
ZarobkiDo uzgodnienia

Itransition is seeking a Lead AI Engineer to spearhead the design and development of end-to-end AI solutions, including sophisticated chatbots and agent workflows. In this role, you will collaborate directly with clients to architect tailored, LLM-powered applications that solve complex business challenges and drive innovation.

Key responsibilities

  • Build, launch, and maintain full-cycle AI products from conception to production.
  • Partner with customers to uncover their goals and propose LLM-powered solutions tailored to their specific business context.
  • Create and maintain reliable data processing pipelines that ensure the accuracy, efficiency, and security of AI models.
  • Monitor and optimize AI system performance, focusing on scalability, correctness, and compliance with relevant industry regulations.
  • Conduct exploratory research and develop fast prototypes to test technical feasibility and demonstrate business value.

Requirements

  • Advanced Python programming skills, including practical experience with web frameworks like FastAPI.
  • Solid understanding of the full lifecycle involved in building and deploying AI-powered applications.
  • Hands-on experience with leading LLM platforms and APIs such as OpenAI, Anthropic, Amazon Bedrock, and Gemini.
  • Proficiency in ecosystem tools including LangGraph, LlamaIndex, and agent-based frameworks.
  • Proven track record of successfully rolling out AI systems into production environments.
  • Ability to assess generative AI output quality using retrieval metrics and LLM-based evaluation techniques.

What we offer

  • Engagement in high-impact projects for global clients such as PayPal, Adidas, and Philips.
  • A structured career development system with clear skill qualifications and growth paths.
  • Flexible working hours designed to align with your personal schedule.
  • A fully remote work environment that supports professional autonomy.

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