AES - DE - Generative AI Application Developers
At a glance
Mid-level AI Engineering role at Fa Etvl Saasfaprod1. Hyderabad.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build business-focused AI solutions and assistants, copilots, search, and workflow automation with Azure AI services
- Create RAG solutions that draw on enterprise data, then connect them to existing applications and business processes
- Develop reusable AI components for use across applications and regions
- Take AI use cases from early concepts through prototypes, pilots, and production releases
- Support advisory work involving reporting, intelligence, and automation
What you bring
- At least seven years of experience, with the listing also calling for eight or more years in AI/ML
- Hands-on ability with Azure Machine Learning, Python, prompt engineering, RAG, vector databases, and embeddings
- Experience with LangChain or LangGraph, REST APIs, Azure DevOps, Git, and CI/CD
Who this fits
This role suits a hands-on AI/ML engineer who can turn business use cases into production applications and work with business stakeholders, regional leads, and application teams. The role is based in Hyderabad, India.
From the employer
Required Skills
- Azure Machine Learning (Azure ML)
- Python
- Prompt Engineering
- Retrieval Augmented Generation (RAG)
- Vector Databases / Embeddings
- LangChain / LangGraph
- REST API Development
- Azure DevOps, Git, CI/CD
Experience: 7+ Years
Role Summary
Hands-on AI/ML engineer responsible for implementing approved business AI initiatives across the application portfolio using Azure AI technologies. The role will work closely with business stakeholders, regional leads, and application teams to convert AI use cases into production-ready solutions.
Key Responsibilities
• Design and implement business-focused AI solutions using Azure OpenAI and Azure AI Services.
• Build AI assistants, copilots, intelligent search, and workflow automation solutions.
• Develop and deploy RAG (Retrieval Augmented Generation) solutions leveraging enterprise data sources.
• Integrate AI capabilities into existing enterprise applications and business processes.
• Develop reusable AI accelerators that can be leveraged across applications and regions.
• Support AI advisory initiatives, including reporting, intelligence, and automation use cases.
• Drive AI use cases from concept, prototype, pilot, and production deployment.
AI/ML requirement with 8+ yrs experience