Applied Research Engineer, Agents
AI summary of the role
This role bridges research and production, owning experiments and POCs that combine latest LLM/NLP research with high-value customer problems.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- 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 to improve NLP/LLM capabilities in the app
- Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications
What you’ll bring
- 7+ years software development experience at a venture-backed startup or top technology firm, with a focus on applied machine learning systems
- Strong programming skills in Python
- Experience with NLP and text processing libraries such as NLTK, SpaCy, or Apache Tika
- Experience working with foundational models and corresponding APIs
Technologies
Python · NLTK · SpaCy · Apache Tika · LLM · NLP · machine learning · foundation models · agentic systems · search and indexing
About Hebbia
AI platform for investors and bankers; flagship Matrix runs agentic analysis across thousands of documents to power deal, diligence, and research workflows.
Series B
Source and classification
Internal deployment & tooling · Evidence for this classification:
that drives performance, alpha, and market leadership. The Team Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off success. We build steerable, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind
More from the job description
About Hebbia The AI platform for investors and bankers that generates alpha and drives upside. Founded in 2020 by George Sivulka and backed by Peter Thiel and Andreessen Horowitz, Hebbia powers investment decisions for BlackRock, KKR, Carlyle, Centerview, and 40% of the world’s largest asset managers. Our flagship product, Matrix, delivers industry-leading accuracy, speed, and transparency in AI-driven analysis. It is trusted to help manage over $30 trillion in assets globally. We deliver the intelligence that gives finance professionals a definitive edge. Our AI uncovers signals no human could see, surfaces hidden opportunities, and accelerates decisions with unmatched speed and conviction. We do not just streamline workflows. We transform how capital is deployed, how risk is managed, and how value is created across markets. Hebbia is not a tool. Hebbia is the competitive advantage that drives performance, alpha, and market leadership. The Team Hebbia enables leading finance and legal firms with advanced reasoning, copiloting and retrieval capabilities - unlocking meaningful insights for meaningful use cases. The Agents team builds everything from core document understanding capabilities to co-piloting experiences for matrix and deep, multi-source research. We’ve built our own agentic frameworks powered by distributed systems built for scale. We don’t build for one-off [... source excerpt omitted ...] able, reliable and explainable agentic systems. And we build these systems for the scale of data our customers bring to the table. Our goal is to unlock the unknowable unknown for customers all over the world. We want to build a product that becomes indisposable to our customers and as delightful as your favorite consumer product. We move fast and build first of their kind systems. What we’ve built: A custom multi-agent framework powering everything from deep research capabilities to copiloting interfaces paired with distributed systems infrastructure for long running agentic tasks. The world’s most powerful and scalable LLM inference engine - a distributed, asynchronous DAG [... source excerpt omitted ...] private data retrieval systems. Industry leading agents solving problems from buy side company diligence to multi billion dollar M&A. The Role As an Applied Research Engineer, you will be the bridge between research, industry, and application shaping the future of our core natural language processing systems. You will be responsible for enabling agentic capabilities across the Hebbia product suite. You will own experiments and POCs focused on combining the latest research findings with specific high value problems that our customers encounter each and every day. You will leverage our deep relationships with foundation model providers - partnering to beta test models, experime
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