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Senior Data Scientist – GenAI

Link Group Zobacz wszystkie oferty

Lublin

Poznań

Olsztyn

Wrocław

Wygasa 29 lis 2026

4 dni temu

W skrócie

Senior Data Scientist (GenAI) role at Link Group. Focus on Generative AI, LLMs, RAG, AI Agents. Responsibilities include designing/developing solutions, RAG optimization, AI agent development, prompt engineering, fine-tuning, evaluation, and API development. Requires 6+ years in Data Science/AI, 4+ years Python, 2+ years LLMs/GenAI, and cloud experience.

Słowa kluczowe

Generative AI LLMs RAG AI Agents Python LangChain LlamaIndex Cloud Platforms Vector Databases Prompt Engineering

Skrót przygotowany przez AI na podstawie treści ogłoszenia.

We are looking for an experienced professional to join projects focused on Generative AI, LLMs, RAG, and AI Agents. The role combines AI Engineering, Data Science, and AI solution architecture, with a strong focus on building production-ready solutions.

Responsibilities

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.
Implement LLM evaluation, validation, guardrails, and quality control mechanisms.
Develop APIs/backend components and integrate AI solutions with existing systems.
Contribute to technical architecture and technology selection.
Collaborate with engineers, developers, and product teams.
Share knowledge and support less experienced team members.

Requirements

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.
Excellent English communication skills.