Senior AI Engineer
FoodsmartFull Time
Senior (5 to 8 years)
Candidates must have 5+ years of experience as a software engineer, primarily with Python, and ideally possess an advanced degree (Bachelor’s / Master’s) in Computer Science, Computer Engineering, or a relevant field with a focus on Artificial Intelligence, machine learning, or equivalent industry experience. They should also have 2+ years of NLP problem-solving experience, proficiency in Applied LLM, developing and deploying NLP/LLM solutions using frameworks like LangChain, HuggingFace, and backend web frameworks like FastAPI, and familiarity with experimenting with Open Source and Commercial LLMs like Llama, Claude, and a deep understanding of Prompt Engineering. Excellent communication, organizational, problem-solving, debugging, and analytical skills are required.
The Senior Software Engineer will deploy LLM-based production-grade solutions, fine-tune and adapt SOTA LLMs for specialized data extraction tasks, develop innovative prompting strategies and architectures to maximize performance on confidential business documents, solve Engineering challenges related to LLM solutions such as high latency and non-deterministic output, implement and scale data extraction pipelines capable of processing high volumes of complex documents with high accuracy and efficiency, and work closely with cross-functional teams to translate product requirements into machine learning architectures. They will also own systems end-to-end, including design, code, monitoring, observability, for Engineering Projects and training, testing, deployment, and iteration for model training projects.
AI-driven financial research platform
AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.