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AI Developer + Java

Link GroupCały światCały świat

Źródło:JustJoin.it
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
Doświadczenieenums.experience.LEAD
Dodano
Dodano20 października 2026
Wykryte przez nas
Wykryte przez nas21 października 2026
Zarobki
Zarobki25 200 - 27 720 PLN

Link Group is seeking a Lead AI/ML & Software Engineer to spearhead the technical design, execution, and deployment of flagship AI initiatives. In this role, you will lead the architecture of scalable ML systems, write high-quality code, and mentor engineering teams while bridging the gap between complex business requirements and cutting-edge, production-ready AI solutions.

Key responsibilities

  • Lead the technical design, execution, and production deployment of core AI/ML systems and flagship platform capabilities.
  • Co-drive long-term technical strategy by prototyping advanced RAG pipelines, agentic workflows, LLM fine-tuning, and model optimization techniques.
  • Establish and champion coding standards, testing methodologies, and responsible AI best practices.
  • Design, write, and maintain robust, testable, reusable, and well-documented production code.
  • Build sophisticated Retrieval-Augmented Generation systems, vector database integrations, and intelligent agents.

Requirements

  • Proven experience in a senior or lead software engineering capacity with demonstrated success guiding technical projects.
  • Deep expertise in Python and its ML/AI ecosystem, with familiarity in Java for enterprise integrations.
  • Expert understanding of LLM architectures, deep learning, NLP, and hands-on experience with RAG and agentic architectures.
  • Hands-on experience with PostgreSQL, Vector Databases, Redis, and Pub/Sub event messaging.
  • Proficiency with Azure or GCP, containerization tools like Docker and Kubernetes, and modern CI/CD pipelines.

What we offer

  • Opportunity to lead the architecture of flagship AI initiatives in a professional environment.
  • Full remote work model allowing for flexibility and focus on high-impact engineering tasks.
  • Collaborative culture focused on technical excellence, continuous improvement, and mentorship.

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