AI Engineer Lead

Talentola; Phoenix (AZ); On-site; USD 140,000 - 200,000; Full time

Job summary

Talentola in Phoenix seeks a Lead Software Engineer to design multi-agent orchestration platforms and AI-powered productivity tools, building scalable enterprise apps at the intersection of Generative AI and automation.

You will partner with product and engineering teams to deliver innovative AI capabilities, drive performance, security, and rapid prototyping of AI solutions across the organization. This role demands leadership and a strong foundation in full-stack development.

Qualifications

• 5+ years of experience developing enterprise web applications.
• Strong experience with Python, Java, JavaScript, TypeScript, React.js, Next.js, Tailwind, and Bootstrap.
• 2+ years of hands-on experience building Generative AI applications.
• Experience with ADK, OpenAI Agent Frameworks, LangChain, LangGraph, or similar technologies.
• Experience designing agent-based workflows, automation, and AI-powered solutions.
• 5+ years of experience designing, developing, and deploying enterprise-grade applications.
• Demonstrated success building scalable, secure, and high-performance solutions.
• Strong understanding of software engineering best practices, architecture patterns, and application lifecycle management.
• Ability to thrive in a fast-paced environment, adapt to changing priorities, and deliver results with minimal oversight.

Responsibilities

• Build and enhance multi-agent AI orchestration platforms and automation frameworks.
• Develop enterprise-grade full-stack applications supporting AI-powered experiences.
• Design and implement Generative AI solutions using modern agent frameworks.
• Partner with product, architecture, and engineering teams to deliver innovative AI capabilities.
• Drive technical excellence, scalability, security, and performance across solutions.
• Rapidly prototype and deploy AI solutions that improve productivity and efficiency.

Tools

Python

Java

JavaScript

TypeScript

React.js

Next.js

Tailwind

Bootstrap

Job description

Detailed JD:

About the Role

Join a team building the future of AI capabilities in the Branch. As a Lead Software Engineer, you will design and develop multi-agent orchestration platforms, AI-powered productivity tools, and intelligent automation solutions that streamline workflows, accelerate delivery, and enable reusable AI capabilities across the organization. You will work at the intersection of software engineering, Generative AI, and automation to create scalable solutions that drive measurable business impact.

Key Responsibilities

• Build and enhance multi-agent AI orchestration platforms and automation frameworks.
• Develop enterprise-grade full-stack applications supporting AI-powered experiences.
• Design and implement Generative AI solutions using modern agent frameworks.
• Partner with product, architecture, and engineering teams to deliver innovative AI capabilities.
• Drive technical excellence, scalability, security, and performance across solutions.
• Rapidly prototype and deploy AI solutions that improve productivity and efficiency.

Required Qualifications

Full-Stack Development

• 5+ years of experience developing enterprise web applications.
• Strong experience with Python, Java, JavaScript, TypeScript, React.js, Next.js, Tailwind, and Bootstrap.

Generative AI Engineering

• 2+ years of hands-on experience building Generative AI applications.
• Experience with ADK, OpenAI Agent Frameworks, LangChain, LangGraph, or similar technologies.
• Experience designing agent-based workflows, automation, and AI-powered solutions.

Enterprise Application Development

• 5+ years of experience designing, developing, and deploying enterprise-grade applications.
• Demonstrated success building scalable, secure, and high-performance solutions.

Strong understanding of software engineering best practices, architecture patterns, and application lifecycle management.

Agile & Self-Starter Mindset

• Ability to thrive in a fast-paced environment, adapt to changing priorities, and deliver results with minimal oversight.

Preferred Qualifications

• 2+ years of experience with public cloud platforms and AI solution deployment.
• Experience with cloud-native architectures, CI/CD, and enterprise integration patterns