Azure AI Engineer

Orcapod Consulting Services; Pune District, Goregaon, Mumbai; Hybrid; INR 4,000,000 - 7,000,000; Full time

Job summary

Orcapod Consulting Services is seeking an experienced Azure AI Engineer to design and deploy Generative AI solutions on Microsoft Azure. You will ground LLMs with enterprise data and build scalable applications using Azure AI services.

The role focuses on building and optimizing Retrieval Augmented Generation pipelines, vector search, embeddings, and knowledge retrieval, collaborating with business teams to deliver reliable AI solutions.

Qualifications

• Extensive experience with Large Language Models (LLMs) and Generative AI.
• Hands-on with Azure OpenAI Service and Azure AI Search.
• Experience building enterprise-grade RAG applications.
• Knowledge of prompt engineering, grounding, hallucination mitigation, and AI evaluation.

Responsibilities

• Design and build GenAI applications using Azure services.
• Develop and optimize RAG pipelines for knowledge retrieval.
• Implement vector search and embedding-based retrieval.
• Build AI solutions leveraging Azure OpenAI, Azure AI Search, and Cosmos DB.
• Ground LLM responses using governed enterprise data sources.
• Collaborate with business and technical teams to deliver scalable AI solutions.
• Monitor, evaluate, and improve AI application performance and accuracy.

Skills

LLMs

Generative AI

RAG architecture

Embedding models

Semantic search

Vector search

Python

REST APIs

LangChain/LlamaIndex/Semantic Kernel

Git CI/CD Azure DevOps

Tools

Azure OpenAI Service

Azure AI Search (Cognitive Search)

Cosmos DB

Azure Machine Learning

Azure AI Document Intelligence

Job description

About the Role

We are seeking an experienced Azure AI Engineer with strong expertise in building and deploying Generative AI solutions on Microsoft Azure. The ideal candidate must have hands-on experience designing and implementing Retrieval Augmented Generation (RAG) architectures, grounding Large Language Models (LLMs) with enterprise data, and developing scalable AI applications leveraging Azure AI services.

Required Skills

Generative AI & LLMs

• Strong experience working with Large Language Models (LLMs) and Generative AI solutions.
• Hands-on experience with Azure OpenAI Service.
• Experience building enterprise-grade RAG (Retrieval Augmented Generation) applications.
• Knowledge of prompt engineering, model grounding, hallucination mitigation, and AI evaluation techniques.
• Experience working with embeddings and semantic search.

Azure AI Services

• Azure OpenAI
• Azure AI Search (Cognitive Search)
• Azure AI Foundry / Azure AI Studio
• Azure Machine Learning (good to have)
• Azure AI Document Intelligence (good to have)

Data Grounding & Retrieval

• Experience implementing:
• Vector Search
• Vector Databases
• Embedding Models
• Semantic Search
• Hybrid Search
• Knowledge Retrieval Pipelines
• Hands-on experience with Azure AI Search for indexing and retrieval of enterprise content.
• Experience grounding AI/LLM applications using governed enterprise datasets.

Database Technologies

• Strong experience with Azure Cosmos DB.
• Experience storing and managing vectorized data.
• Knowledge of structured and unstructured data processing.

Development Skills

• Python programming.
• REST APIs and Microservices.
• LangChain, LlamaIndex, Semantic Kernel (preferred).
• Experience integrating AI services with business applications.
• Git, CI/CD, and Azure DevOps.

Key Responsibilities

• Design and build enterprise GenAI applications using Azure services.
• Develop and optimize RAG pipelines for knowledge retrieval.
• Implement vector search and embedding-based retrieval mechanisms.
• Build AI solutions leveraging Azure OpenAI, Azure AI Search, and Cosmos DB.
• Ground LLM responses using governed enterprise data sources.
• Collaborate with business and technical teams to deliver scalable AI solutions.
• Monitor, evaluate, and improve AI application performance and accuracy.

Mandatory Experience

• 4+ years of overall software/data engineering experience.
• Minimum 2+ years of hands-on experience in Generative AI/LLM projects.
• Proven experience with:
• Azure OpenAI
• RAG Architecture
• Vector Search
• Embeddings
• Azure AI Search
• Cosmos DB
• Experience delivering production-grade AI applications.