Principal GenAI Engineer
Turing • Remote
Education
Any
Type
hourly
Pay Rate (by country)
$30–$65/hr
Listed
Today
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Turing: our referral track record
We've referred 677 candidates to Turing roles. 2% (15) were placed.
Turing: typical time to hire
Based on 15 tracked placements across all Turing roles on our site.
About this Role
From the Turing listing
Principal GenAI Engineer Location: Gurugram - 3 Days WFO Employment Type: Full Time Experience Level: Principal (8–14 years) About the Role Turing is hiring a Principal GenAI Engineer with strong expertise in LLMs 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
- 8-13 years of experience in ML/AI systems
- 2+ years hands-on experience with LLMs (RAG, agents, prompt engineering)
- Strong proficiency in Python, LangGraph, and SQL
- Experience deploying GenAI systems on AWS / Azure / GCP Good to Have - 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 Roles & Responsibilities
- Develop and optimize LLM-based solutions : Lead the design and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.
- Codebase ownership : Build and maintain/review high-quality, efficient code in Python (using frameworks like LangChain/LangGraph) and SQL, focusing on reusable components, scalability, and performance best practices.
- Cloud integration : Aide in deployment of GenAI applications on cloud platforms (Azure, GCP, or AWS), optimizing resource usage and ensuring robust CI/CD processes.
- Cross-functional collaboration : Work closely with product owners, data scientists, and business SMEs to define project requirements, translate technical details, and deliver impactful AI products.
- Mentoring and guidance : Provide technical leadership and knowledge-sharing to the engineering team, fostering best practices in machine learning and large language model development.
Requirements
- Artificial Intelligence
- Tech Lead
- Software Development
What to Expect
Looking at Turing Software Engineering listings we've tracked, contracts in this domain typically run about 9.8 weeks. Actual length varies by project, but this gives you a realistic baseline going in.
Based on 50 extracted Turing Software Engineering listings.
Why This Role
This Principal GenAI Engineer role pays $47/hr and runs fully remote, so the barrier to entry is your Software Engineering knowledge, not prior AI experience.
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Frequently Asked Questions
Do I need to be a software engineer to work for Turing?
No, not anymore. Turing built its name matching senior engineers with Silicon Valley companies, but it has since expanded into AGI infrastructure work and now hires non-engineering domain experts, technical writers, and researchers for post-training data annotation and RLHF. A strong analytical background and excellent English matter more than coding ability.
How does Turing's talent matching work?
Turing calls it the Intelligent Talent Cloud. You build a profile and go through vetting (automated tests, an AI-powered interview, practical skill assessments), and once vetted, Turing's algorithm surfaces your profile directly to partner companies like Fortune 500s and top AI labs. You don't browse listings or bid on work; matches come to you.
How and when does Turing pay contractors?
Monthly, in USD, via Deel, Payoneer, or direct bank transfer. You're engaged as an independent contractor responsible for your own local taxes. Plan your cash flow around a monthly cycle if you're used to weekly payouts elsewhere.
What does task-based AI training work actually look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does asynchronous AI training work mean in practice?
No set hours, no check-ins, no meetings. You log in when you want, pick up an available task, complete it, and submit; nobody is waiting on you in real time. That's different from remote employment, where you're expected online during business hours. The tradeoff: you're competing with others for available tasks, so an empty queue means there's simply nothing to do until more work is released.
What does Software Engineering work look like for a Principal GenAI Engineer?
Tasks here are scoped to Software Engineering, not generic labeling. As a Principal GenAI Engineer, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Software Engineering) rather than following a one-size-fits-all rubric. If you don't have hands-on Software Engineering background, this is likely not the right listing to start with.
What happens when I click Apply on this listing?
You'll be taken to Turing's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.