We are seeking talented and innovative AI Engineers with extensive experience in deploying production-ready applications of Large Language Models (LLMs), particularly in LLM Agents and Graph-based Retrieval-Augmented Generation (RAG) to join our Competency Center Data & Analytics. In this role, you will have the opportunity to design, develop, and deploy advanced AI and machine learning systems to solve real-world challenges.
Your tasks
- 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
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