Senior Data Scientist – GenAI

Link Group

Polska

Hybrid

PLN 320,000 - 520,000

Full time

9 days ago
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Job summary

Link Group is seeking an experienced AI/ML specialist to join projects centered on Generative AI, LLMs, RAG, and AI Agents. The role requires deep Python expertise and hands-on work with state-of-the-art frameworks in a fast-paced environment.

The team emphasizes production-grade AI systems, scalable architectures, and collaboration across data science, engineering, and product teams to deliver impactful results.

Qualifications

  • 6+ years of experience in Data Science, AI Engineering, Machine Learning, or a related field.
  • 4+ years of professional Python development
  • 2+ years of hands-on experience with LLMs / Generative AI, preferably with RAG-based solutions
  • Strong knowledge of Python, LLMs, RAG, and Generative AI
  • Practical experience with LangChain, LlamaIndex, LangGraph, or similar frameworks
  • Experience with AI Agents / Agentic AI; MCP experience is a strong advantage
  • Knowledge of vector databases, hybrid search, reranking, and LLM evaluation
  • Experience with model fine-tuning, such as LoRA, QLoRA, or SFT
  • Experience with at least one major cloud platform: Azure, AWS, or GCP
  • Familiarity with Docker, Kubernetes, and CI/CD
  • Good understanding of AI/ML architectures and production deployment practices

Responsibilities

  • We are looking for an experienced professional to join projects focused on Generative AI, LLMs, RAG, and AI Agents . The rol
  • Start ASAP
  • We're a bunch of super-dedicated and passionate people who truly believe in making a difference and delivering amazing results on a huge scale.
  • We're the real deal when it comes to expertise:

Skills

AI Engineering
Machine Learning
Python
LLMs
Generative AI
LangChain
LlamaIndex
LangGraph
RAG
Vector databases
Kubernetes
Docker
CI/CD
GITHUB"
Cloud platforms

Tools

LangChain
LlamaIndex
LangGraph

Job description

  • AI
  • Machine learning
  • Python
  • AWS
  • Docker
  • Angielski
  • Spark
  • Databricks
  • GitHub
  • 6+ years of experience in Data Science, AI Engineering, Machine Learning, or a related field.
  • 4+ years of professional Python development experience.
  • 2+ years of hands-on experience with LLMs / Generative AI, preferably with RAG-based solutions.
  • Strong knowledge of Python, LLMs, RAG, and Generative AI.
  • Practical experience with LangChain, LlamaIndex, LangGraph, or similar frameworks.
  • Experience with AI Agents / Agentic AI; MCP experience is a strong advantage.
  • Knowledge of vector databases, hybrid search, reranking, and LLM evaluation.
  • Experience with model fine-tuning, such as LoRA, QLoRA, or SFT.
  • Experience with at least one major cloud platform: Azure, AWS, or GCP.
  • Familiarity with Docker, Kubernetes, and CI/CD.
  • Good understanding of AI/ML architectures and production deployment practices.

Nice to Have


  • Experience with Spark / Databricks.

  • Experience with GitHub Actions, GitLab CI, or Azure DevOps.

  • Experience with multi-agent systems and agentic AI workflows.

  • Experience building scalable, production-grade AI systems.

  • Experience with multimodal AI models.

  • Design and develop production-grade solutions using LLMs and Generative AI.

  • Build and optimize RAG systems, including vector search, hybrid search, reranking, and query optimization.

  • Develop AI Agents and agentic AI solutions.

  • Work with frameworks such as LangChain, LlamaIndex, LangGraph, or similar technologies.

  • Work with MCP to integrate AI agents with external tools and systems.

  • Select appropriate models and develop prompt engineering and fine-tuning strategies, including LoRA/QLoRA/SFT.


Opis oferty

We are looking for an experienced professional to join projects focused on Generative AI, LLMs, RAG, and AI Agents . The rol



  • Start ASAP


We're a bunch of super-dedicated and passionate people who truly believe in making a difference and delivering amazing results on a huge scale.


We're the real deal when it comes to expertise:

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