Applied Research Engineer, Agents
Bridge research and production to build agentic LLM and NLP systems for finance and legal workflows. Own experiments combining latest research with customer use cases while embedding in the full software development lifecycle.
About the job
Responsibilities
- Focused on LLMs, analyze and interpret complex data types to derive and implement cutting edge insight generation systems
- Iterate and explore new LLM and NLP techniques to maintain industry leadership
- Utilize expertise in statistics, programming, and machine learning to develop and deploy data-driven models and algorithms
- Contribute to solving business problems, improving processes, and enhancing overall company performance
- Collaborate with cross-functional teams to improve NLP/LLM capabilities in applications
- Stay up-to-date with the latest advancements and research in the space
- Collaborate with software engineers to integrate agentic capabilities into existing systems or develop new applications
- Ensure that systems are efficient, maintainable, and well monitored
- Iterate on validation and testing frameworks
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field
- 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 with Search and Indexing technologies
- Proficient in machine learning techniques and algorithms
- Experience working with foundational models and corresponding APIs
- Knowledge of statistical analysis and data scraping techniques
- Prior experience in developing NLP models and systems
- Strong capability to translate research into production software systems
- Excellent problem-solving and analytical skills
- Strong communication and teamwork abilities
Nice-to-Haves
- Master’s degree in Computer Science, Mathematics, Machine Learning or a related field
- Experience working with Attention based NLP models
- Experience with prompting and building LLM applications and agents
- Experience building agentic systems or LLM enabled products
- Frequent user of AI products, especially during the development lifecycle (e.g. Cursor, Claude Code)
Compensation & Benefits
- Salary range: $160,000 to $300,000
- Unlimited PTO
- Medical + Dental + Vision + 401K
- Catered lunch daily + DoorDash dinner credit if staying late
- 3 months non-birthing parent / 4 months birthing parent parental leave
- $15k lifetime fertility benefits
- Competitive new hire equity grant
Skills
Python, NLP, Nltk, Spacy, Apache Tika, Machine Learning, LLMs, Foundation Models, Statistical Analysis, Search And Indexing, Prompt Engineering, Agentic Systems
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