Principal GenAI Engineer

Principal GenAI Engineer – Backend / Fullstack

• Location: Hyderabad/Gurugram

• Employment Type: Full Time

• Experience Level: Principal (8-14 years)

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

• 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
• 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