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