Agentic AI Engineer

AI Engineer

We're looking for an AI Engineer to design and build autonomous, multi-agent systems that orchestrate internal data operations end-to-end — without waiting on human prompts. This role is not about prompt engineering, chatbots, or conversational AI. Instead, you'll be building agentic infrastructure: supervisor/worker agent architectures that ingest, transform, validate, and aggregate large volumes of internal data automatically. Today, many of these workflows are manual (code → deploy → test). Your mission is to replace that manual effort with self-directed, orchestrated agent systems built on modern open-source agent frameworks. There are currently no dedicated design engineers on the team, so we're looking for someone who is eager for an exciting new project with high visibility where you can think system-first, design robust agent workflows, and implement them end-to-end.

Compensation: $65-75/hour. Exact compensation may vary based on several factors, including skills, experience, and education.

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.

Skills and Requirements:

• 5-8 years experience as an AI Engineer
• Extensive experience designing and building multi-agent systems to process data operations of an enterprise organization
• Experience creating systems that automate and orchestrate decisions around data
• Extensive experience with: Google Agent Development Kit (ADK), LangGraph, LangChain, Kubernetes, Docker, Python, SQL, DevOps