Requirements

Expected technologies

LLM

RAG

Python

Optional technologies

GraphML

AWS

Microsoft Azure

Google Cloud Platform

Our requirements

• Over 5 years of experience working on applied AI projects or exceptional knowledge (PhD is a plus)
• In-depth knowledge of Large Language Models, Knowledge Graphs, and Agent systems
• Exceptional communication skills in a customer-facing role
• Proven ability to rapidly prototype and iterate on innovative solutions
• Proficient in the LLM AI Python ecosystem, including frameworks such as HuggingFace, PyTorch, TensorFlow, LangChain, LangGraph, LlamaIndex, and others
• Previous hands-on experience with major cloud platforms, including AWS, GCP, and Azure
• A self-starter with the ability to work independently while also guiding and mentoring AI teams

Your responsibilities

• Lead the development of advanced AI and machine learning solutions using Large Language Models, with a focus on LLM Agents and Graph-based Retrieval-Augmented Generation
• Architect and implement production-ready applications that leverage cutting-edge technologies to deliver impactful AI products
• Engage directly with customers to gather requirements, understand their business needs, and ideate on potential AI solutions
• Stay at the forefront of AI research by exploring and experimenting with new approaches in LLMs, Graph ML, Agents, and RAG
• Evaluate new tools, frameworks, and methodologies, ensuring that the AI team uses the best technology available
• Lead customer meetings to present ideas, gather feedback, and iteratively refine AI solutions based on real-world use cases and feedback