> Markdown version of [/jobs/ext/1593910-india-sql-and-ai-governance-engineer](https://www.wearedevelopers.com/jobs/ext/1593910-india-sql-and-ai-governance-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# INDIA - SQL and AI Governance Engineer

- **Company:** Insight Global
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Salary:** $24,960.0 - $31,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Microsoft Azure, Code Review, Cursor (Graphical User Interface Elements), Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, GitHub Copilot, Large Language Models, Multi-Agent Systems, Prompt Engineering, Software Version Control
- **Published:** July 15, 2026
- **Apply:** https://jobs.insightglobal.com/jobs/find_a_job/florida/orlando/india-sql-and-ai-governance-engineer/job-551914/

## About the Role

* 5-8+ years of hands-on experience in AI/ML engineering, applied machine learning, or AI application development.
 * Expert Python and strong software engineering practices (testing, packaging, code review, version control).
 * Proven experience building AI agents using frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar.
 * Proficiency with AI-assisted development tools (Cursor, GitHub Copilot) for rapid, high-quality application development including agent mode, rules configuration, and context management.
 * Experience with prompt engineering, RAG architectures, vector databases, and LLM API integration (OpenAI, Azure OpenAI, Anthropic).

## Description

We're seeking a skilled AI Engineer to design, build, and deploy autonomous AI agents and production-ready applications that enhance Data Science and BI capabilities. This role partners with Data Science, Product, Engineering, and Analytics to deliver scalable, agent-based solutions across the business.
The ideal candidate has strong experience with LLMs, multi-agent systems, and RAG, along with hands-on use of tools like Cursor and GitHub Copilot. You'll develop and maintain agent workflows that automate complex processes while ensuring security, reliability, and responsible AI standards.


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