AI Engineer - Algorithm Team
פורסם 25 במאי · 0 מועמדים
התפקיד במילים פשוטות
בתפקיד זה, מהנדס/ת AI בצוות האלגוריתמים יפתח/תפתח מערכות למידת מכונה ו-AI עבור פתרונות מיפוי תת-קרקעי. העבודה היומיומית תכלול בנייה ויישום של מערכות מבוססות מודלי שפה גדולים (LLMs) ופיתוח זרימות עבודה מרובות שלבים המשתמשות בכלים שונים.
- 5+ years of experience developing machine learning, AI, or software systems
- B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or similar field
- Experience in building and shipping meaningful, production-grade agentic systems - not just demos or prototypes
- Deep, in-depth understanding of LLMs - including how they work under the hood (transformer architecture, tokenization, attention, sampling), their failure modes, and the practical tradeoffs between models, prompting strategies, fine-tuning, and retrieval
- Strong hands-on experience with modern agentic frameworks (e.g., LangGraph, LangChain, or equivalent) and with designing multi-step, tool-using workflows
- M.Sc. or Ph.D. in a relevant field
- Experience working with multimodal models that combine text with images, audio, or structured data
- Familiarity with cloud environment development (AWS)
חולץ מתיאור המשרה · מתעדכן אוטומטית
למי זה מתאים
התפקיד מתאים למהנדסי/ות AI מנוסים/ות עם למעלה מ-5 שנות ניסיון בפיתוח מערכות למידת מכונה או AI, בעלי/ות הבנה מעמיקה של LLMs ויכולת לבנות מערכות סוכנותיות ברמת ייצור. פחות מתאים למי שמעוניין/ת רק בפיתוח אבות טיפוס או הדגמות.
תיאור המשרה המלא
המשרה המקורית · נשמר לעיוןExodigo is the leading underground mapping solution for non-intrusive discovery. Our platforms combine multi-sensor fusion, 3D imaging, and AI technologies to create complete, accurate underground maps that enable confident decision-making for customers across the built world. We transform the project lifecycle for our customers, who include key community stakeholders in the utilities, transportation and government sectors. We are experiencing sky-rocketing growth and closed a historically large $96M Series B round in July of 2025 .
Requirements: 5+ years of experience developing machine learning, AI, or software systems. B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or similar field. Experience in building and shipping meaningful, production-grade agentic systems - not just demos or prototypes. We’re looking for people who can walk us through what they built, the real problem it solved, and the value it created. Deep, in-depth understanding of LLMs - including how they work under the hood (transformer architecture, tokenization, attention, sampling), their failure modes, and the practical tradeoffs between models, prompting strategies, fine-tuning, and retrieval. Strong hands-on experience with modern agentic frameworks (e.g., LangGraph, LangChain, or equivalent) and with designing multi-step, tool-using workflows. Strong command of RAG, prompt engineering, evaluation methodologies , and techniques for improving reliability and reducing hallucinations in LLM-based systems. Strong proficiency in Python and experience with common AI/ML libraries and APIs (e.g., OpenAI, Anthropic, Hugging Face, PyTorch). solid software engineering practices , including writing clean, maintainable code and building robust, scalable systems . Preferred Qualifications- M.Sc. or Ph.D. in a relevant field. Experience working with multimodal models that combine text with images, audio, or structured data. Familiarity with cloud environment development (AWS).
שאלות על המשרה
- המשרה לא ציינה שכר. אנחנו מציגים שכר רק כשהמעסיק מפרסם אותו.
- 5+ years of experience developing machine learning, AI, or software systems, B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or similar field, Experience in building and shipping meaningful, production-grade agentic systems - not just demos or prototypes, Deep, in-depth understanding of LLMs - including how they work under the hood (transformer architecture, tokenization, attention, sampling), their failure modes, and the practical tradeoffs between models, prompting strategies, fine-tuning, and retrieval, Strong hands-on experience with modern agentic frameworks (e.g., LangGraph, LangChain, or equivalent) and with designing multi-step, tool-using workflows