Gen AI Engineer

Qloron Pvt Ltd; Hyderabad; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Qloron Pvt Ltd in Mumbai/Hyderabad region seeks a Gen AI Engineer with 6–8 years of Python and Azure cloud experience to design, develop, and deploy AI-powered solutions. You will build RAG pipelines, integrate LLMs, and deploy scalable AI services within enterprise apps.

The role requires hands-on work with vector databases, LangChain, and modern GenAI frameworks, focusing on secure, compliant AI deployments in production.

Qualifications

• 6–8 years of IT experience.
• Strong programming in Python.
• Hands-on experience with Azure Cloud Services.
• Experience with Azure OpenAI Service and Azure AI Studio.
• Strong understanding of LLMs.
• Experience in building RAG pipelines.
• Knowledge of Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate).
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Knowledge of Prompt Engineering techniques.
• Experience in REST API development and microservices architecture.
• Understanding of AI model evaluation and monitoring.

Responsibilities

• Design, develop, and deploy Generative AI applications using Azure AI Services and OpenAI models.
• Build and optimize RAG-based solutions leveraging vector databases and semantic search.
• Develop scalable backend services and APIs using Python.
• Integrate LLMs such as GPT, Llama, Claude, or similar models into enterprise applications.
• Implement prompt engineering, fine‑tuning, and model evaluation strategies.
• Work with Azure AI Studio, Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning.
• Develop AI agents, chatbots, and intelligent automation solutions.
• Collaborate with cross‑functional teams to translate business requirements into AI solutions.
• Monitor, optimize, and maintain AI applications in production environments.
• Ensure security, governance, and compliance standards in AI implementations.

Skills

Python

Azure Cloud Services

Azure OpenAI Service

LLMs

RAG pipelines

Vector Databases

LangChain

Prompt Engineering

REST API

Microservices

Tools

FAISS

Pinecone

ChromaDB

Weaviate

Job description

Position: Gen AI Engineer (High Priority Requirement)

Experience: 6–8 Years

Location: OnsiteOnsite/Hybrid- Mumbai, Pune, Kochi, Chennai, Coimbatore, Hyderabad

Job Description

We are looking for a skilled Gen AI Engineer with 6–8 years of experience in Python development, Azure cloud services, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Generative AI solutions. The ideal candidate will have hands-on experience designing, developing, and deploying AI-powered applications using modern GenAI frameworks and Azure AI services.

Key Responsibilities

• Design, develop, and deploy Generative AI applications using Azure AI Services and OpenAI models.
• Build and optimize RAG-based solutions leveraging vector databases and semantic search.
• Develop scalable backend services and APIs using Python.
• Integrate LLMs such as GPT, Llama, Claude, or similar models into enterprise applications.
• Implement prompt engineering, fine‑tuning, and model evaluation strategies.
• Work with Azure AI Studio, Azure OpenAI, Azure Cognitive Search, and Azure Machine Learning.
• Develop AI agents, chatbots, and intelligent automation solutions.
• Collaborate with cross‑functional teams to understand business requirements and translate them into AI‑driven solutions.
• Monitor, optimize, and maintain AI applications in production environments.
• Ensure security, governance, and compliance standards are followed in AI implementations.

Required Skills

• 6–8 years of overall IT experience.
• Strong programming experience in Python.
• Hands‑on experience with Azure Cloud Services.
• Experience with Azure OpenAI Service and Azure AI Studio.
• Strong understanding of Large Language Models (LLMs).
• Experience in building RAG pipelines.
• Knowledge of Vector Databases (FAISS, Pinecone, ChromaDB, Weaviate, etc.).
• Experience with LangChain, LlamaIndex, Semantic Kernel, or similar frameworks.
• Knowledge of Prompt Engineering techniques.
• Experience in REST API development and microservices architecture.
• Understanding of AI model evaluation and monitoring.

Preferred Skills

• Experience with AI Agents and Multi‑Agent Frameworks.
• Exposure to MLOps and CI/CD pipelines.
• Experience with Docker and Kubernetes.
• Knowledge of data engineering concepts and ETL pipelines.
• Familiarity with Git, Azure DevOps, and Agile methodologies.