Principal GenAI Engineer

Turing Global India; Hyderabad; Hybrid; INR 4,200,000 - 6,800,000; Full time

Job summary

Turing is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. This role focuses on designing scalable, production-grade GenAI systems powered by LLMs, RAG, and agent-based architectures.

You will bridge backend/fullstack engineering with applied AI, building reliable, high-performance systems that integrate AI capabilities into real-world applications at scale.

Qualifications

• 8–14 years of software engineering (backend or fullstack).
• Hands-on experience with LLMs (RAG, agents, prompt engineering).
• Experience building production-grade distributed systems.

Responsibilities

• Design and build scalable GenAI applications using LLMs and RAG pipelines.
• Develop 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 in production.
• Collaborate with product, data, and engineering teams to deliver end‑to‑end solutions.
• Implement monitoring, evaluation, and guardrails for GenAI systems.

Skills

Python

LLMs

RAG

Agents

Distributed systems

Backend engineering

APIs

Microservices

System design

Tools

LangChain

LangGraph

Pinecone

Weaviate

FAISS

AWS

Azure

GCP

SQL

NoSQL

CI/CD

DevOps

Job description

Location: Hyderabad
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 Were 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