We are looking for an experienced AI Engineer with a strong Data Engineering background to design and deliver enterprise AI solutions. This is a hands-on implementation role focused on building production-ready AI applications, not just proof of concepts.
Key Responsibilities
Build AI agents, copilots, and intelligent automation solutions.
Develop RAG applications using Azure OpenAI and vector databases.
Design scalable data pipelines and integrate enterprise data sources.
Build multi-agent workflows and AI-powered applications.
Implement AI governance, monitoring, security, and responsible AI practices.
Collaborate with business stakeholders to deliver reliable AI solutions.
Required Skills
Python, SQL, REST APIs
Azure AI Foundry, Azure OpenAI
Microsoft Copilot Studio
Databricks (Lakehouse, Unity Catalog, Genie AI)




Prompt Engineering, RAG, Embeddings, Vector Databases
AI Agents & Workflow Orchestration
Classical Machine Learning
Data Engineering & ETL Pipelines
Git, Azure DevOps, CI/CD
AI Governance, LLMOps & Responsible AI
Must Have
Proven experience deploying AI/ML solutions into production.
Solid background in Data Engineering.
Hands-on experience with RAG and enterprise document intelligence.
Experience working in regulated domains such as Finance, Banking, Healthcare, Energy, or Government is highly preferred.
Ability to build secure, explainable, and scalable AI solutions with minimal supervision.

📌 Freelance AI Engineer (India)
🏢 ThreatXIntel
📍 India