AI Prompt Specialist

2 weeks ago

ClujNapoca, Cluj, Romania Prohuman Romania Full time €40,000 - €80,000 per year

Get to know the role

We are looking for a
AI Prompt Specialist
with a strong foundation in Python, prompt

engineering, and basic ML concepts to support the development of exploratory Jupyter

notebooks combining LLMs and data analysis pipelines. The ideal candidate is

technically curious, effective in communication, and comfortable working across

disciplines to support map automation and discovery initiatives.

This role is essential to accelerating experimentation and insight generation in the LLM

space for geo-related applications.

The Day-to-Day Activities

  • Design and build interactive notebooks using Python and prompt engineering to explore, analyze, and extract value from geospatial and visual data;
  • Collaborate with data scientists, ML engineers, and map experts to integrate LLM outputs with geospatial analysis;
  • Develop prototypes and workflows that apply LLMs (e.g., GPT, Claude) to vision, text, and tabular data tasks;
  • Analyze patterns and anomalies in map data using statistical and ML techniques;
  • Evaluate the effectiveness and reliability of LLM-based tools in real-world workflows;
  • Work cross-functionally to gather requirements and translate business needs into exploratory analysis;
  • Share findings via visualizations and presentations that influence product or research directions;
  • Drive documentation and reproducibility standards within the notebook environment.

Requirements

  • Strong proficiency in Python, including libraries such as pandas, NumPy, matplotlib/seaborn, scikit-learn;
  • Hands-on experience with prompting and working with LLMs (e.g., OpenAI, Claude, or similar APIs);
  • Solid understanding of basic ML concepts: classification, regression, clustering;
  • Experience with Jupyter Notebooks and an iterative, experimental development workflow;
  • Effective communication skills (written and verbal), with the ability to present insights to technical and non-technical audiences;
  • Strong collaboration skills and a willingness to give and receive feedback constructively;
  • A proactive attitude and willingness to continuously learn and adapt.

Good to Have

  • Familiarity with Computer Vision or geospatial data analysis;
  • Experience working with LLM orchestration frameworks (LangChain, LlamaIndex, etc.);
  • Knowledge of basic DevOps or cloud platforms (e.g., Azure, AWS, GCP);
  • Prior experience working in mapping, mobility, or logistics domain.

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