INDIA - SQL and AI Engineer

Job 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. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.

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•  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).