We are looking for an experienced AI Engineer with a robust 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.

Strong 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 (Data Engineering + GenAI) (India)
🏢 ThreatXIntel
📍 India