Gen AI Engineer

Elabs Infotech; Hyderabad; On-site; INR 2,500,000 - 6,000,000; Full time

Job summary

Elabs Infotech is seeking a highly skilled Generative AI Engineer to design, develop, and deploy enterprise-grade AI applications on Azure OpenAI Service. You will build scalable AI solutions with RAG architectures, Prompts, and LangChain/LangGraph integrations, while ensuring security and governance.

The role demands hands-on experience with Azure AI Foundry, Cognitive Search, and vector databases, plus proficiency in Python and REST APIs to deliver robust AI workflows across enterprise systems.

Qualifications

• Hands-on experience designing enterprise-grade AI apps on Azure.
• Strong expertise in LLMs and RAG architectures.
• Proficiency in Python and building AI workflows with REST APIs.

Responsibilities

• Design and develop enterprise Generative AI solutions on Azure OpenAI Service (GPT-4 family).
• Build AI apps using Azure AI Foundry, Prompt Flow, and orchestration frameworks.
• Develop RAG-based chatbots with Cognitive Search and vector databases.
• Create and optimize prompts to reduce hallucinations and improve quality.
• Implement AI workflows with LangChain, LangGraph, and Python.
• Integrate AI services with enterprise systems via REST APIs and microservices.
• Build AI agents with multi-step reasoning and tool calling.
• Fine-tune applications for performance, scalability, cost, and security.
• Apply responsible AI practices including content filtering and data privacy.

Skills

Generative AI

LLMs

Prompt Engineering

Python

REST APIs

Kubernetes

Tools

Azure OpenAI Service

Azure AI Foundry

Azure AI Studio

Azure AI Search

Prompt Flow

LangChain

LangGraph

Semantic Kernel

Job description

We are seeking a highly skilled Generative AI Engineer with 58 years of overall experience and strong expertise in designing, developing, and deploying enterprise-grade AI applications using Azure OpenAI Service. The ideal candidate should have hands-on experience with LLMs, RAG (Retrieval-Augmented Generation), Prompt Engineering, LangChain/LangGraph, Azure AI Foundry, and Python. The role involves building scalable AI solutions integrated with enterprise systems while ensuring security, governance, and performance.

Key Responsibilities

• Design and develop enterprise Generative AI solutions using Azure OpenAI Service (GPT-4, GPT-4o, GPT-4.1).
• Build intelligent applications using Azure AI Foundry, Prompt Flow, and AI orchestration frameworks.
• Develop RAG-based chatbots using Azure AI Search (Cognitive Search) and vector databases.
• Create and optimize prompts for improved response quality and reduced hallucinations.
• Implement AI workflows using LangChain, LangGraph, and Python.
• Integrate AI services with enterprise applications using REST APIs and microservices.
• Build AI agents capable of multi-step reasoning and tool calling.
• Fine-tune AI applications for performance, scalability, cost optimization, and security.
• Implement responsible AI principles including content filtering, prompt injection prevention, and data privacy.
• Deploy AI applications using Azure services such as App Services, AKS, Azure Functions, or Container Apps.
• Monitor AI applications using Azure Monitor, Application Insights, and logging frameworks.
• Collaborate with architects, business stakeholders, data engineers, and DevOps teams to deliver AI solutions.
• Stay updated with emerging LLM technologies and Azure AI advancements.

Required Technical Skills

Azure AI & Generative AI

• Azure OpenAI Service
• Azure AI Foundry
• Azure AI Studio
• Azure AI Search (Cognitive Search)
• Azure AI Content Safety
• Prompt Flow
• Azure Machine Learning (preferred)

Large Language Models

• GPT-4 / GPT-4o / GPT-4.1
• Azure OpenAI Models
• Claude (Anthropic) - Preferred
• Llama Models
• Mistral Models

AI Frameworks

• LangChain
• LangGraph
• Semantic Kernel (Preferred)
• AutoGen (Preferred)
• CrewAI (Good to Have)

Programming

• Python
• FastAPI
• REST APIs
• JSON
• Async Programming

Vector Databases

• Azure AI Search
• Pinecone
• FAISS
• ChromaDB
• Weaviate (Preferred)

AI Concepts

• Prompt Engineering
• RAG Architecture
• AI Agents
• Function Calling
• Tool Calling
• Embeddings
• Vector Search
• Semantic Search
• Context Management
• Token Optimization

Azure Cloud

• Azure App Service
• Azure Functions
• Azure Container Apps
• Azure Kubernetes Service (AKS)
• Azure Storage
• Azure Key Vault
• Azure Monitor
• Azure API Management