Applied Research Engineer, Agents

About the Company

Hebbia is an AI platform for investors and bankers that generates alpha and drives upside. Backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for major global asset managers by delivering industry-leading accuracy, speed, and transparency in AI-driven analysis.

Responsibilities

• Analyze and interpret complex data types to implement cutting-edge insight generation systems focused on LLMs
• Iterate and explore new LLM and NLP techniques to maintain industry leadership
• Develop and deploy data-driven models and algorithms using statistics, programming, and machine learning
• Collaborate with cross-functional teams and software engineers to integrate agentic capabilities into existing systems
• Ensure systems are efficient, maintainable, and well-monitored
• Iterate on validation and testing frameworks

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field
• 7+ years of software development experience at a venture-backed startup or top technology firm, focused on applied machine learning systems
• Strong programming skills in Python
• Experience with NLP and text processing libraries (NLTK, SpaCy, or Apache Tika)
• Experience with Search and Indexing technologies
• Proficiency in machine learning techniques and algorithms
• Experience working with foundational models and corresponding APIs
• Knowledge of statistical analysis and data scraping techniques
• Ability to translate research into production software systems

Preferred Qualifications

• Master’s degree in Computer Science, Mathematics, or Machine Learning
• Experience with prompting and building LLM applications and agents
• Experience building agentic systems or LLM-enabled products
• Frequent user of AI development tools like Cursor or Claude Code