GenAI Engineer — Production AI & Agentic Workflows

GSPANN Technologies, Inc; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

GSPANN Technologies, Inc. in San Francisco, CA token, is seeking an experienced AI Engineer to design, develop, and deploy production-grade AI/ML and Generative AI solutions in a hybrid environment.

The role demands hands-on software engineering, strong coding practices, and ownership of AI initiatives from conception to production. The candidate will work across Python and TypeScript/React, contribute to agentic development workflows, and collaborate with product and engineering teams to

Qualifications

• Bachelor's or master's degree in Computer Science, Artificial Intelligence, Machine Learning, Information Technology, or equivalent practical experience.
• 5+ years of software engineering experience, including at least 2+ years focused on AI/ML or Generative AI applications.
• Demonstrated experience delivering production AI systems with end-to-end ownership.
• Expert-level experience with AI coding assistants and agentic development workflows.
• Strong hands-on full-stack development experience with Python, TypeScript, and React.

Responsibilities

• Design, develop, and deploy production-grade AI/ML and Generative AI applications.
• Own AI engineering initiatives end-to-end, from design through deployment and optimization.
• Leverage AI coding assistants and agentic development workflows to improve productivity.
• Develop full-stack applications using Python, TypeScript, and React.
• Integrate emerging AI technologies into existing engineering workflows and applications.
• Design scalable solutions using microservices and modern software design patterns.

Skills

Python

TypeScript

React

AI/ML

Generative AI

Agentic development workflows

Full-stack development

Cloud knowledge

Education

Bachelor's or Master's in CS/AI/ML/IT

Tools

Jira

Confluence

Job description

GSPANN Technologies, Inc. in San Francisco, CA token, is seeking an experienced AI Engineer to design, develop, and deploy production-grade AI/ML and Generative AI solutions in a hybrid environment.

The role demands hands-on software engineering, strong coding practices, and ownership of AI initiatives from conception to production. The candidate will work across Python and TypeScript/React, contribute to agentic development workflows, and collaborate with product and engineering teams to