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AI Engineer / LLM Engineer (AI-First | TypeScript)

People More P.S.A.Cały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano3 sierpnia 2026
Wykryte przez nas
Wykryte przez nas4 sierpnia 2026
Zarobki
Zarobki23 520 - 31 920 PLN

People More is a technology-driven company focused on building high-quality digital solutions for a diverse international client base. We are currently seeking an experienced AI Engineer / LLM Engineer to join our team and help us develop advanced agentic systems in a fully remote environment.

Key responsibilities

  • Designing and developing production-grade agentic systems and workflows powered by LLMs and multimodal models.
  • Implementing complex features such as tool calling, routing, memory management, and structured outputs.
  • Developing agent orchestration and multi-agent architectures while optimizing for cost and performance.
  • Evaluating output quality and debugging agentic systems to ensure high reliability.
  • Utilizing agentic coding as a core part of your daily engineering workflow.

Requirements

  • Strong software engineering background with proficiency in TypeScript.
  • Proven experience building production systems leveraging LLM-based workflows beyond simple RAG implementations.
  • Deep understanding of modern agentic patterns including planner-executor models, sub-agents, and context management.
  • Methodical approach to evaluations, tuning, and error tracking in AI systems.
  • Practical experience with MCP, tool calling, and managing risks like prompt injection.

What we offer

  • A fully remote working environment with international projects and a supportive team.
  • Direct access to company leadership who share a background in software development and design.
  • Opportunities for professional growth, including conference participation and support for publishing technical content.
  • Private medical care and sports card benefits.
  • A flexible culture where we prioritize solving problems and finding engaging tasks for our team members.

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