Highbrow Technology Inc
Principal GenAI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal GenAI Engineer in New York, NY, with a contract length of unspecified duration and a pay rate of "unknown." Requires 10+ years in ML, 3+ years in LLMs, and proficiency in Python, SQL, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York City Metropolitan Area
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🧠 - Skills detailed
#Python #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #Azure #Deployment #Langchain #ML (Machine Learning) #AI (Artificial Intelligence) #SQL (Structured Query Language) #Cloud
Role description
Job Title: Principal Engineer (Gen AI)
Location: New York, NY (Onsite – 3 days/week)
Experience: 10+ Years
Required Skills & Qualifications
• 10+ years of experience in building Machine Learning models and systems
• 3+ years of hands-on experience with LLMs and Generative AI, including:
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Multi-agent / Agentic systems
• Strong proficiency in Python, LangChain/LangGraph, and SQL
• Experience working with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments
• Excellent communication skills and ability to work with business stakeholders in BFSI domain
Good to Have
• Experience working on enterprise BFSI GenAI use cases
• Exposure to open-source LLM deployments
• Prior experience in mentoring or leading GenAI teams
Job Title: Principal Engineer (Gen AI)
Location: New York, NY (Onsite – 3 days/week)
Experience: 10+ Years
Required Skills & Qualifications
• 10+ years of experience in building Machine Learning models and systems
• 3+ years of hands-on experience with LLMs and Generative AI, including:
• Prompt Engineering
• Retrieval-Augmented Generation (RAG)
• Multi-agent / Agentic systems
• Strong proficiency in Python, LangChain/LangGraph, and SQL
• Experience working with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments
• Excellent communication skills and ability to work with business stakeholders in BFSI domain
Good to Have
• Experience working on enterprise BFSI GenAI use cases
• Exposure to open-source LLM deployments
• Prior experience in mentoring or leading GenAI teams
