Principal Gen AI Engineer (New York City)
Turing • USA • Posted 30 days ago
Education
Any
Type
Pay Rate
$50/task
Posted
30d ago
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About this Role
Principal GenAI Engineer – Knowledge Graph & Semantic Systems
Location: Onsite – New York City
Employment Type: Full Time
Experience Level: Senior
About Turing
Based in Palo Alto, California, Turing is the world’s first AI-powered tech services company. It has reimagined tech services from the ground up with AI by offering AI-vetted and matched talent, AI-accelerated development, and access to AI transformation experts who have built many of the most iconic Silicon Valley companies.
Founded in 2018, the company has experienced tremendous growth with over two million global developers on its Talent Cloud and 900+ clients. Turing has received numerous awards, including Forbes’s “One of America’s Best Startup Employers” and recognition from The Information and Fast Company as one of the most innovative companies globally.
About the Role
Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs and Knowledge Graphs to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on building Graph-powered RAG systems (Graph-RAG) that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.
What We’re Looking For 10+ years of experience in ML/AI systems 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering) 5+ years of production experience working with Knowledge Graphs Strong proficiency in Python, LangChain/LangGraph, and SQL Experience deploying GenAI systems on AWS / Azure / GCP Mandatory Knowledge Graph Expertise Design and scale enterprise Knowledge Graph architectures Develop ontologies, taxonomies, and semantic data models Implement entity resolution, relationship extraction, and graph enrichment Experience with Neo4j, Amazon Neptune, or similar graph databases Strong hands-on experience with Cypher (or similar graph query languages) Build hybrid retrieval systems combining Knowledge Graphs + vector databases Integrate structured graph reasoning with LLMs to reduce hallucination and improve explainability
Vetting flow:
1 Hour technical Discussion (Turing internal) 30 minutes technical Delivery connect (Turing internal) 30 minutes Delivery connect (Turing internal) Possible 1 Hour in person Customer round of interview at NYC, NY (Not confirmed)
Requirements
- Must be eligible to work in USA
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Software Engineering
Compensation Analysis
Join the workforce powering the AI revolution. With a competitive rate of $50/hr and remote flexibility, this role allows you to balance professional growth with personal freedom. No previous AI experience is usually required—just your domain expertise.
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Frequently Asked Questions
Do I need to be a software engineer?
Not anymore. Turing built its reputation matching senior engineers with Silicon Valley companies, but they have heavily pivoted into AGI infrastructure. They now hire non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English are required, but you do not need to code.
How does matching work?
Turing calls it the 'Intelligent Talent Cloud.' You build a profile and go through deep vetting — automated tests, an AI-powered interview, and practical skill assessments. Once vetted, Turing's algorithm automatically surfaces you to partner companies (Fortune 500s and top AI labs). You don't browse job boards or bid on work — matches come to you.
How does payment work?
You are hired as an independent contractor, responsible for your own local taxes. Turing collects payment from the client and pays you monthly in USD via Deel, Payoneer, or direct bank/wire transfer. Monthly pay is standard for long-term contract roles — if you need weekly cash flow, this structure requires adjustment.
What does the work actually look like?
It is practical, hands-on data work. You might be recording short videos, categorizing images, rating text responses, or analyzing data. The tasks are designed to be short and distinct—typically 5-60 minutes per task.
How flexible is the schedule?
Extremely. This is true "log in and work" flexibility. You can usually work for 20 minutes or 4 hours depending on your availability. There are rarely minimum hour requirements, making it ideal for side income.
Is there an interview?
Usually, no. Hiring for these roles is almost entirely based on passing an automated assessment or "qualification" task. If you pass the test, you get access to the work.