Applied Scientist, Wealth.com

• Bachelor's, Master’s OR PhD degree in Computer Science, Electrical or Computer Engineering, or related field (e.g., statistics, predictive analytics, research)
• Experience building sophisticated RAG pipelines with LLMs (with frameworks like LangChain, LlamaIndex, Hamilton, etc.)
• Experience working on deep learning architectures specifically with Natural language-based models (Pytorch/Tensorflow), vector databases and graph databases
• Experience developing applications using prompt engineering, fine tuning, Google Vertex AI APIs, Azure Open AI APIs or equivalent

Desirable

• We are looking for passionate early career professionals to apply the latest advancements in Large Language Models (LLM), Computer Vision (CV) and Natural Language Processing (NLP) in the legal & financial tech sector
• Applied Scientists will work collaboratively with Software Engineers and other Applied Scientists to pursue a broad range of AI initiatives
• By using a combination of various state-of-the-art natural language and vision models, Applied Scientists will help build complex legal AI agents
• Finetune and integrate the latest Large Language Models (LLMs) such as OpenAI/Gemini/Claude/Llama/MistralAI models into production systems
• Train, finetune and deploy large-scale NLP and CV models to power complex document understanding experiences
• Design and implement scalable, efficient and highly precise Q&A RAG frameworks
• Work with complex datasets from various sources to build Extract, Transform, and Load (ETL) data pipelines for downstream tasks
• Collaborate with other product managers and engineers in the team to build tools to evaluate and improve the end-to-end AI quality of our production systems
• Effectively communicate and demonstrate work to stakeholders