NoFluffJobs Praca zdalna Senior

AI Engineer

Link Group

⚲ Warszawa

20 160 - 25 200 PLN (B2B)

Wymagania

  • Python
  • LangChain
  • Azure
  • Data
  • Cloud platform
  • AWS
  • GCP
  • Data engineering
  • Data pipelines
  • FastAPI (nice to have)

Opis stanowiska

O projekcie: We are looking for an AI Engineer who will design, build, and implement AI-based solutions. You will work with large datasets, develop intelligent applications, and integrate models into business systems. The role requires strong technical skills, independence, and the ability to work in a dynamic Agile environment. Wymagania: - Strong programming skills in Python (experience with FastAPI is a plus). - Practical experience with LangChain (must have). - Knowledge of RAG and prompt design techniques. - Experience working with vector databases and embedding models. - Familiarity with frameworks such as LangGraph, LlamaIndex, or similar tools. - Experience with any cloud platform (Azure, AWS, GCP or other). - Good understanding of data processing using Pandas and NumPy. - Knowledge of data engineering concepts: data pipelines, integration, transformation, and large-scale data handling. - Experience working in an Agile environment. - Strong analytical thinking and problem-solving skills. - Good communication skills and ability to work in cross-functional teams. Language Requirements - Polish – required. - English – required (B2–C1 level). Codzienne zadania: - Collect, clean, and prepare large datasets for model training and evaluation. - Build and integrate AI solutions into existing systems or create new applications. - Work closely with data scientists, developers, and business stakeholders to define requirements. - Deliver new features independently based on documented specifications. - Take part in technical and functional discussions related to current and future development. - Communicate risks, impacts, and technical decisions clearly to the team. - Support process improvements across teams. - Maintain clear technical documentation and share knowledge within the organization. - Follow development standards, guidelines, and best practices. - Monitor technology trends and propose improvements where relevant.