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.
160k – 300k/yr
On-site7+ YOEML Engineering
About the role
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
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