AI Engineer (Algorithm Team)
ΠΡΡΡ & Π‘ΠΎΠΏΡΠΎΠ²ΠΎΠ΄
ΠΠ»Ρ ΠΌΡΡΡΠ° Ρ ΡΡΠΎΠΉ Π²Π°ΠΊΠ°Π½ΡΠΈΠ΅ΠΉ Π½ΡΠΆΠ΅Π½ Plus
ΠΠΏΠΈΡΠ°Π½ΠΈΠ΅ Π²Π°ΠΊΠ°Π½ΡΠΈΠΈ
TL;DR
AI Engineer (AI/LLM): Building LLM-powered applications and agentic workflows for underground mapping and data processing with an accent on RAG, multi-agent orchestration, and production-grade AI tools. Focus on automating complex research workflows, designing robust evaluation methodologies, and integrating foundation models into real-world products.
Location: Tel Aviv, Israel
Company
is a leading underground mapping solution company utilizing multi-sensor fusion, 3D imaging, and AI to create accurate underground maps for utilities and government sectors.
What you will do
- Design and iterate on LLM-powered applications, including RAG systems, agents, and fine-tuned models.
- Develop agentic workflows to automate complex, multi-step tasks across research and engineering pipelines.
- Build internal AI tools and assistants to enhance the productivity of algorithm researchers and mapping experts.
- Evaluate and integrate the latest foundation models and frameworks such as LangGraph and LangChain.
- Design robust evaluation methodologies to measure quality, reliability, and safety of LLM systems.
- Collaborate with Algorithms and Software teams to transition prototypes into production-grade systems.
Requirements
- 5+ years of experience developing machine learning, AI, or software systems.
- B.Sc. in Computer Science, Computer Engineering, Electrical Engineering, or a similar field.
- Proven experience building and shipping production-grade agentic systems.
- Deep understanding of LLM architectures, including transformers, tokenization, and attention mechanisms.
- Hands-on experience with modern agentic frameworks (e.g., LangGraph, LangChain).
- Strong proficiency in Python and AI/ML libraries such as PyTorch, Hugging Face, and OpenAI APIs.
Nice to have
- M.Sc. or Ph.D. in a relevant field.
- Experience working with multimodal models combining text with images, audio, or structured data.
- Familiarity with AWS cloud environment development.
ΠΡΠ΄ΡΡΠ΅ ΠΎΡΡΠΎΡΠΎΠΆΠ½Ρ: Π΅ΡΠ»ΠΈ ΡΠ°Π±ΠΎΡΠΎΠ΄Π°ΡΠ΅Π»Ρ ΠΏΡΠΎΡΠΈΡ Π²ΠΎΠΉΡΠΈ Π² ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡ iCloud/Google, ΠΏΡΠΈΡΠ»Π°ΡΡ ΠΊΠΎΠ΄/ΠΏΠ°ΡΠΎΠ»Ρ, Π·Π°ΠΏΡΡΡΠΈΡΡ ΠΊΠΎΠ΄/ΠΠ, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡΠ΅ ΡΡΠΎΠ³ΠΎ - ΡΡΠΎ ΠΌΠΎΡΠ΅Π½Π½ΠΈΠΊΠΈ. ΠΠ±ΡΠ·Π°ΡΠ΅Π»ΡΠ½ΠΎ ΠΆΠΌΠΈΡΠ΅ "ΠΠΎΠΆΠ°Π»ΠΎΠ²Π°ΡΡΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡΠΈΡΠ΅ Π² ΠΏΠΎΠ΄Π΄Π΅ΡΠΆΠΊΡ. ΠΠΎΠ΄ΡΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β