Your key responsibilities

• Stay up to date on the state-of-the-art in large language models and agentic approaches.
• Evaluate and experiment with emerging AI technologies to identify potential applications and innovations.
• Develop and implement Proofs of Concept (POCs) using Generative AI and agentic AI technologies with advanced AI frameworks, including AutoGen and LangGraph.
• Research advanced retrieval augmented generation methodologies
• Collaborate with cross-functional teams to propose improved AI methods and solutions for implementing into existing products and platforms
• Write internal white papers as well as research papers for submission into premier AI conferences and workshops.

Skills and attributes for success

• Master’s degree /Ph.D. in a relevant field (Computer Science, Data Science, Artificial Intelligence, etc.).
• 3+ years of experience in AI and machine learning
• Deep technical expertise in Generative AI and agent frameworks such as AutoGen and LangGraph with an ability to quickly develop AI prototypes.
• Experience building multi-agent systems using LangChain/LangGraph and familiarity with observability tools like LangSmith.
• Solid understanding of basic and advanced Retrieval-Augmented Generation (RAG) techniques.
• Strong programming skills in Python as well as knowledge of frameworks like TensorFlow, PyTorch is required
• Preferred experience with fine-tuning Small Language Models (SLMs).
• Drive to solve customers’ problems using technical creativity and hard work
• Ability to communicate technical matters clearly and effectively to both technical and non-technical audience
• Critical thinker with excellent judgment and strong initiative

Education

• B.S. in Actuarial, Behavior Economics, Computer Science, Data Analytics, Data Science, Econometrics, Engineering, IT, Cyber Security, or related field preferred