Harnham
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
$160,000.00/yr - $180,000.00/yr Location
New York City (Hybrid – 3 days in office) THE COMPANY
Join a fast-growing AI-driven software startup building next-gen intelligent data platforms. Their mission: unlock the full potential of enterprise data while ensuring top-tier privacy and security. They’re leveraging GenAI to automate classification, risk prioritization, and remediation across complex environments. THE ROLE
As an
Applied LLM/NLP Scientist , you’ll design and build agentic AI systems that reason, act, and automate workflows. Starting with a classification scoring project, you’ll then develop end-to-end LLM-powered solutions that evolve into customer-facing products. This is a hands-on role with huge impact and visibility. KEY RESPONSIBILITIES
Build agentic LLM/NLP systems from scratch Develop internal tools that scale into products Lead ML initiatives starting with classification scoring Work with API-based and self-hosted LLMs Collaborate with engineers, data scientists, and annotators SKILLS & EXPERIENCE
Must-Have
4+ years in Data Science/Machine Learning (BSc/MSc in CS/STEM preferred) Proven experience building agentic systems end-to-end Hands‑on with LangGraph, Small Agent, or similar frameworks Experience with self-hosted and API-based LLMs Familiarity with NumPy, Pandas, and compiled languages (e.g., Go) Nice-to-Have
Deploying open-source solutions on AWS Background in big data, security, or cybersecurity Passion for AI/ML trends and open-source tools Seniority level
Director Employment type
Full-time Job function
Analyst Industries
Software Development
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$160,000.00/yr - $180,000.00/yr Location
New York City (Hybrid – 3 days in office) THE COMPANY
Join a fast-growing AI-driven software startup building next-gen intelligent data platforms. Their mission: unlock the full potential of enterprise data while ensuring top-tier privacy and security. They’re leveraging GenAI to automate classification, risk prioritization, and remediation across complex environments. THE ROLE
As an
Applied LLM/NLP Scientist , you’ll design and build agentic AI systems that reason, act, and automate workflows. Starting with a classification scoring project, you’ll then develop end-to-end LLM-powered solutions that evolve into customer-facing products. This is a hands-on role with huge impact and visibility. KEY RESPONSIBILITIES
Build agentic LLM/NLP systems from scratch Develop internal tools that scale into products Lead ML initiatives starting with classification scoring Work with API-based and self-hosted LLMs Collaborate with engineers, data scientists, and annotators SKILLS & EXPERIENCE
Must-Have
4+ years in Data Science/Machine Learning (BSc/MSc in CS/STEM preferred) Proven experience building agentic systems end-to-end Hands‑on with LangGraph, Small Agent, or similar frameworks Experience with self-hosted and API-based LLMs Familiarity with NumPy, Pandas, and compiled languages (e.g., Go) Nice-to-Have
Deploying open-source solutions on AWS Background in big data, security, or cybersecurity Passion for AI/ML trends and open-source tools Seniority level
Director Employment type
Full-time Job function
Analyst Industries
Software Development
#J-18808-Ljbffr