Principal GenAI Engineer

Turing

Location: Gurugram, Haryana, India
Job type: Full-time

Required skills

LangChain
Python
AWS
Azure
backend
DevOps
end-to-end
enterprise SaaS
frontend
GCP
JS
microservices
multi-tenant
NoSQL
React
SaaS
SQL

About the role

Turing

Website: turing.com
Company: https://www.linkedin.com/company/turingcom
Seniority: Mid-Senior level
Industries: Technology, Information and Internet and Software Development
Job details:

About the Role:

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing and building scalable, production-grade GenAI systems powered by LLMs, Retrieval-Augmented Generation (RAG), and agent-based architectures.
You will work at the intersection of backend/fullstack engineering and applied AI, building reliable, high-performance systems that integrate LLM capabilities into real-world applications.

What We’re Looking For:

8-14 years of experience in software engineering (backend or fullstack)
2+ years of hands-on experience with LLMs (RAG, agents, prompt engineering)
Strong experience building production-grade distributed systems
Proficiency in Python
Strong experience with SQL & NoSQL databases
Hands-on experience with LangChain, LangGraph, or similar frameworks
Experience deploying systems on AWS / Azure / GCP
Strong understanding of APIs, microservices, and system design
Experience with vector databases (Pinecone, Weaviate, FAISS, etc.)
Familiarity with CI/CD pipelines and DevOps practices

Key Responsibilities:

Design and build scalable GenAI applications using LLMs and RAG pipelines
Develop and optimize backend services and APIs for AI-powered systems
Build and deploy agent-based workflows and orchestration systems
Integrate LLMs into real-world enterprise applications
Ensure performance, scalability, and reliability of AI systems in production
Collaborate with product, data, and engineering teams to deliver end-to-end solutions
Implement monitoring, evaluation, and guardrails for GenAI systems

Good to Have:

Exposure to frontend frameworks (React, Next.js) for fullstack roles
Understanding of model evaluation, fine-tuning, or LLMOps
Experience building multi-tenant or enterprise SaaS platforms

Why Join Turing:

Work on cutting-edge GenAI use cases with global enterprises
Opportunity to build real-world AI systems at scale
High ownership and leadership in technical decision-making

Click on Apply to know more.

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Principal GenAI Engineer

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