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INDIA - SQL and AI Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Insight Global
Full Time position
Listed on 2026-05-20
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

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 Git Hub Copilot. You’ll develop and maintain agent workflows that automate complex processes while ensuring security, reliability, and responsible AI standards.

Equal Opportunity Employment

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.

Skills

and Requirements
  • 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 Lang Chain, Lang Graph, Semantic Kernel, Auto Gen, CrewAI, or similar.
  • Proficiency with AI‑assisted development tools (Cursor, Git Hub 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).
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