Applied NLP/LLM Scientist (On-Site)

Harnham; New York (NY); On-site; USD 180,000 - 220,000; Full time

Job summary

Harnham is seeking an Applied AI/NLP Scientist to lead the development of innovative NLP solutions in the legal-financial domain. The role involves research and production implementation, working closely with cross-functional teams. Competitive salary and comprehensive benefits are offered, along with opportunities for remote flexibility.

Benefits

Performance Bonus

Health Benefits

Generous PTO

401(k)

Remote Work Flexibility

Qualifications

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Demonstrated experience scaling models across large, unstructured datasets.

Responsibilities

• Design and implement novel NLP and LLM architectures for legal and financial datasets.
• Own projects from prototyping through production, leading development of scalable NLP systems.
• Enhance model performance through fine-tuning, prompt engineering, and optimization.

Skills

NLP

AI System Development

Model Optimization

Python

Machine Learning Frameworks

Communication

Education

PhD or Master’s degree in Computer Science, AI, Computational Linguistics

Tools

PyTorch

TensorFlow

HuggingFace

spaCy

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$180,000.00/yr - $220,000.00/yr

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Building AI/ML & Data/Software Engineering Teams Across The US

Applied NLP/LLM Scientist

Location: New York - (On-site)

Compensation: $180,000 – $220,000 base salary + Equity

About the Company:

We are working with a pioneering fintech, as systems face mounting strain from increased complexity and a shrinking talent pool, there's a growing need for tools that can adapt, learn, and act independently. Their platform introduces AI agents designed to support experts by handling routine tasks, adapting to diverse workflows, and freeing up time for more strategic work. Already proving effective in demanding environments, it’s now scaling quickly, reshaping how foundational work gets done in a rapidly evolving economy.

THE ROLE

As an Applied AI/NLP Scientist, you will be central to developing and deploying advanced natural language processing solutions that tackle complex challenges in the legal-financial domain. Reporting to senior technical leadership, your work will span early-stage research through production-grade implementation.

Key Responsibilities:

• AI Model Innovation: Design and implement novel NLP and LLM architectures tailored for domain-specific applications across legal and financial datasets.
• Research to Production: Own projects from prototyping through production, leading 0-to-1 development of scalable NLP systems.
• Model Optimization: Enhance model performance through fine-tuning, prompt engineering, retrieval augmentation, and inference optimization.
• Cross-Functional Collaboration: Work closely with product, engineering, and executive teams to align AI capabilities with strategic goals.
• Thought Leadership: Help shape internal best practices in applied NLP/LLM development, and contribute to research papers and IP generation.
• Mentorship & Guidance: Provide technical insight and mentorship to junior researchers and engineers.

YOUR SKILLS AND EXPERIENCE

We’re seeking an experienced, hands-on NLP practitioner with a deep understanding of AI system development:

• 2-8 years of professional experience in applied NLP or LLM-based system development.
• Strong foundation in building and deploying NLP models in production settings.
• Proficiency with Python and modern ML/NLP frameworks (e.g., PyTorch, TensorFlow, HuggingFace, spaCy, etc.).
• Demonstrated experience scaling models across large, unstructured datasets.
• Applied research background with a proven track record of translating research into real-world tools and platforms.
• Deep understanding of LLM architectures, fine-tuning, prompt engineering, and retrieval-augmented generation (RAG).
• Excellent communication skills and comfort working in agile, high-ownership environments.
• PhD or Master’s degree in Computer Science, AI, Computational Linguistics, or related field (PhD preferred).
• Publication record in respected AI/NLP venues (e.g., ACL, EMNLP, NAACL, NeurIPS, ICLR) is highly desirable.

THE BENEFITS

• Competitive Compensation: Base salary of $180,000 – $220,000 + performance bonus
• Innovation Ownership: Drive the development of novel NLP applications and contribute to IP
• Remote Flexibility: Work from anywhere in the U.S.
• Full Benefits: Health, dental, vision, 401(k), generous PTO, and more

HOW TO APPLY

To explore this opportunity, please submit your resume to Luc Simpson-Kent using the Apply link on this page.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst and Research

• Industries

  Financial Services and Research Services

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