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