Introduction
We are seeking a hands-on AI Engineer to work on a high visibility Generative AI project. This project involves summarization and chatbot development to support a large volume of documents from various lines of business and of various types. The ideal candidate is a self-starter with strong technical skills, leadership qualities, and the ability to effectively communicate complex technical concepts.
Required Skills & Qualifications
- 2 years of professional experience as a data scientist executing end-to-end Generative AI projects using technologies such as LLM Models (Llama, Mixtral, Mistral), various inferencing mechanisms (transformer/pipeline, vllm), and agentic framework (langgraph).
- Experience with evaluation frameworks: RAGAS, langsmith, phoenix-arize and strong programming experience with Python.
- Proficiency in embedding technologies (all-MiniLM-L6-v2, all-mpnet-base-v2) and LLM development frameworks (Langchain, LlamaIndex).
- Experience with REST API, FastAPI, and Websockets and with Enterprise Redis Database, Qdrant, and Cockroach.
Preferred Skills & Qualifications
Day-to-Day Responsibilities
- Lead the design, development, and implementation of complex data management and storage applications, often using new technologies.
- Exercise judgment within broadly defined practices and policies to select methods, techniques, and evaluation criteria for obtaining results.
- Provide work leadership by assigning work and resolving problems.
- Communicate effectively with multiple business stakeholders, IT, and external partners.
- Execute high-value, enterprise projects with clear articulation of benefits, costs, and risks.
Company Benefits & Culture
- Opportunities to work with modern technologies as a disruptive influence within the finance domain.
- Superb communication, coaching, and management skills development.
- Collaborative and innovative work environment.
For immediate consideration please click APPLY to begin the screening process.