REMOTE AI Engineer

Insight Global is looking for an AI Engineer to join one of the world's leading financial institutions on a remote basis working EST hours.

About the Team

Our Machine Learning & AI team uses advanced ML and GenAI to make large-scale systems more reliable, cost-efficient, and automated. We combine classical ML with agentic AI to deliver smarter, safer, and more scalable operations.

What You'll Do

Build AI Agents : Design and deploy AI agents that can diagnose, reason, and act in production environments.

Work with LLMs : Implement and optimize large language models for real-world operations.

Automate Operations : Integrate AI with monitoring, incident management, and deployment tools for faster issue resolution.

Collaborate : Partner with engineers to turn production challenges into AI-driven solutions.

Ensure Safety & Scale : Build guardrails for compliance, reliability, and performance at scale.

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.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy :

Required Skills & Experience

5+ years in software development (Python preferred).

3+ years building production ML systems.

Hands-on experience with LLMs, RAG pipelines, and AI agents.

Strong problem-solving and communication skills.

Nice to Have Skills & Experience

Bonus : Cloud experience (AWS, containers, serverless).

Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and / or other paid time off as provided by applicable law.