AI Agentic Engineer Lead — Build Scalable, Trusted Systems

Arrivia, Inc

Arizona

Hybrid

USD 130,000 - 170,000

Full time

14 days+
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Benefits offered by this job

Unlimited PTO
Employee travel rates
Travel discounts
Medical insurance
Dental insurance
Vision insurance
401(k) participation

Job summary

Arrivia, Inc is seeking a Principal Agentic Software Engineer to define technical direction for multiple products and platforms while being hands-on in the development process. You will work with AI agents, lead technical teams, and make high-stakes decisions that shape product roadmaps.

The role requires a strong background in full-stack development, cloud-native solutions, and mentoring engineers. With responsibilities that range from architectural decisions to direct implementation, you will

Qualifications

  • 8 to 12 years of full-stack development and architecture experience.
  • Strong proficiency in TypeScript, JavaScript, Python, and C#.
  • Deep experience with microservices and cloud-native delivery.

Responsibilities

  • Set technical direction across multiple products and platforms.
  • Lead high-stakes decisions to guide teams on project priorities.
  • Institutionalize AI launch checklists and quality standards.

Skills

Full-stack development
AI coding agents
Microservices
Cloud-native delivery
RESTful API design
DevOps practices
Mentoring
Technical leadership
Distributed systems

Education

Bachelor's degree in Computer Science

Tools

GitHub Copilot
Docker
Kubernetes
AWS
Azure
GCP
Redis
Kafka
RabbitMQ
React
Next.js
Vue
Angular

Job description

Arrivia, Inc is seeking a Principal Agentic Software Engineer to define technical direction for multiple products and platforms while being hands-on in the development process. You will work with AI agents, lead technical teams, and make high-stakes decisions that shape product roadmaps.

The role requires a strong background in full-stack development, cloud-native solutions, and mentoring engineers. With responsibilities that range from architectural decisions to direct implementation, you will

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