Applied Research Engineer, Agents
$160k - $300k • NYC • FullTime
Posted 1y ago
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Agent Engineer
About the job
Hebbia is seeking an Applied Research Engineer to bridge the gap between research, industry, and application, shaping the future of our core natural language processing systems. This role is pivotal in enabling agentic capabilities across the Hebbia product suite. You will own experiments and proof-of-concepts focused on combining the latest research findings with high-value customer problems. Leveraging deep relationships with foundation model providers, you will partner to beta test models, experiment with new features, and develop guidance on relative model strengths. The ideal candidate excels at both running experiments with novel LLM techniques and building production-grade, LLM-enabled software systems, embedding directly within the software development lifecycle.
Responsibilities
- Analyze and interpret complex data types to derive and 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 expertise in statistics, programming, and machine learning.
- Contribute to solving business problems, improving processes, and enhancing overall company performance.
- Collaborate with cross-functional teams to improve NLP/LLM capabilities within applications.
- Stay current with the latest advancements and research in the AI space.
- Integrate agentic capabilities into existing systems or develop new applications in collaboration with software engineers.
- 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.
- Master's degree in Computer Science, Mathematics, Machine Learning, or a related field is a plus.
- 7+ years of 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 with Search and Indexing technologies.
- Proficiency in machine learning techniques and algorithms.
- Experience working with foundational models and their corresponding APIs.
- Knowledge of statistical analysis and data scraping techniques.
- Prior experience in developing NLP models and systems.
- Experience with prompting and building LLM applications and agents is a plus.
- Excellent problem-solving and analytical skills.
- Strong communication and teamwork abilities.
- Strong capability to translate research into production software systems.
- Experience building agentic systems or LLM-enabled products is a bonus.
- Frequent user of AI products, especially during the development lifecycle (e.g., Cursor, Claude Code).