Python AI Automation Engineer

Insight Global

Atlanta (GA)

Hybrid

USD 171,924,000 - 200,579,000

Full time

3 days ago
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Job summary

Insight Global is seeking an AI Engineer to design, build, and deploy Python-based agentic automations for business tasks, from design to deployment. The role involves implementing LLM-based agents, orchestration frameworks, and integrating with GCP services.

Hybrid work in Palo Alto, CA is preferred, with remote options for a great fit. The position offers compensation in the range of $60–$70 per hour, with opportunities to contribute across the automation roadmap, and to guide junior engineers

Qualifications

  • 3+ years of hands-on Python software engineering experience, building production services, APIs, and data pipelines.
  • Experience building or integrating agentic AI automations (LLM-based agents, orchestration frameworks) for simple-to-medium complexity tasks.
  • Proficiency with containerization (Docker/Kubernetes) and CI/CD pipelines.
  • Some exposure to Google Cloud Platform (GCP) such as Compute Engine, Cloud Run, Cloud Storage.

Responsibilities

  • Design, develop, and deploy Python-based automations and agentic workflows end-to-end.
  • Build and integrate agentic AI components into automations.
  • Deploy and operate on GCP where needed and integrate with APIs and databases.
  • Write and run automated tests and CI/CD pipelines to ensure reliable deployments.
  • Mentor junior/mid-level engineers and participate in peer code reviews.
  • Communicate technical approaches effectively to non-technical stakeholders.

Skills

Python programming
Analytical thinking
Communication with stakeholders
Containerization experience
GCP familiarity

Tools

Docker
Kubernetes
CI/CD pipelines
Compute Engine
Cloud Run
Cloud Storage
Google App Engine

Job description

Insight Global is seeking an AI Engineer to design, build, and deploy Python-based agentic automations for business tasks, from design to deployment. The role involves implementing LLM-based agents, orchestration frameworks, and integrating with GCP services.

Hybrid work in Palo Alto, CA is preferred, with remote options for a great fit. The position offers compensation in the range of $60–$70 per hour, with opportunities to contribute across the automation roadmap, and to guide junior engineers

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