• Prompt Engineering Expertise: You will have 0–2 years of experience, includinginternships, academic projects, or early-career work, designing system prompts, enforcing structured outputs (JSON/schemas), handling edge cases, and optimizing LLM performance for production workflows.
• Model Evaluation Literacy: Strong foundation in evaluation metrics, includingground truth curation, precision, recall, false-positive/negative analysis, and LLM output benchmarking.
• Technical & Scripting Skills: Working knowledge of Python, including pandas, NumPy, matplotlib/seaborn, and scikit-learn. Hands-on experience using Python for prompt testing, working with APIs, and developing scripts or Jupyter Notebooks through iterative, AI-assisted development.
• Machine Learning Foundations: Solid understanding of basic ML concepts such as classification, regression, and clustering.
• Experience working with LLM orchestration frameworks (LangChain, LlamaIndex, etc.).
• Analytical Mindset: Excellent problem-solving skills with a drive to replace manual map operations with creative, scalable AI solutions.
• Effective communication skills (written and verbal), with the ability to present insights to technical and non-technical audiences.
• Strong collaboration skills, a proactive attitude, and a willingness to continuously learn, adapt, and give/receive feedback constructively.

• Familiarity with Computer Vision or geospatial data analysis.
• Knowledge of basic DevOps or cloud platforms (e.g., Azure, AWS, GCP).
• Prior experience working in mapping, mobility, or logistics domains.

• Prompt Design & Architecture: Craft, test, and iterate on system prompts, few-shot examples, and chain-of-thought workflows to extract geospatial attributes (e.g., road types, speed limits, barriers, etc.).
• Automated Map Quality Control: Build LLM-powered evaluation and test-data generation pipelines to handle automated map-quality validation and offload manual QA workflows.
• Geospatial Benchmarking & Evaluation: Establish rigorous evaluation frameworks using ground truth datasets, precision, recall, and spatial error taxonomies to measure and improve prompt accuracy over time.
• Pipeline Integration & AI-assisted development: Use Python, LLM APIs (Claude, ChatGPT), and development agents (Cursor) to integrate structured prompt outputs into automated, scheduled execution pipelines (e.g., Prefect) and build interactive Jupyter notebooks.
• Collaborate cross-functionally with data scientists, ML engineers, and map experts to integrate LLM outputs with geospatial analysis and gather requirements.
• Analyze patterns and anomalies in map data using statistical and ML techniques.
• Share findings via visualizations and presentations that influence product or research directions, and drive documentation and reproducibility standards.

Prohuman APT se remarcă de 30 de ani pe piața de resurse umane din România, fiind una dintre primele trei agenții din domeniu. Cu o experiență vastă și o echipă dedicată, compania pune accent pe identificarea celor mai potriviți candidați, dar și pe satisfacerea cerințelor riguroase ale clienților săi. Se implică activ în dezvoltarea carierei candidaților, contribuind astfel la creșterea valorii lor profesionale și la consolidarea unei relații pe termen lung între aceștia și angajatori.

De-a lungul timpului, Prohuman APT a reușit să se diversifice și să acopere o gamă largă de industrii, fiind prezentă în sectoare cheie precum BPO (Business Process Outsourcing), Finanțe și bănci, IT&C, Inginerie, Retail, Automotive și Sales/Marketing. În ciuda acestei diversități, agenția nu se limitează doar la aceste domenii, având capacitatea de a răspunde cerințelor pieței de muncă dintr-o varietate de alte sectoare.

Contact: Str. Aviator Popisteanu, nr. 54A, sector 1, București;

office@prohuman.ro;

+40 21 222 13 03.

Autorizație de muncă temporară: seria B nr.0000012/11.11.2005 înregistrată în Registrul Național de Evidență a Agenților de Muncă Temporară la poziția 7.

Autorizație de prelucrare date cu caracter personal :18638.

PROHUMAN APT se angajează să vă protejeze datelele dumneavoastră cu caracter personal. Detalii despre prelucrarea datelor dvs. de către APT puteti gasi pe www.prohuman.ro.