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Software Development Engineer, Agent Labs

  • Vancouver, BC, Canada

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Job details

Posting language
English
Posted

Original job description

Join our innovative team that enables rapid development and improvement of Agentic AI applications that will transform how Amazon customers interact with technology. In this role, you'll work on a greenfield project focused on creating new ways to improve AI agents to enhance customer experiences across Amazon's ecosystem. Your technical expertise and leadership will guide a team of engineers, shaping the future of Agentic AI while pushing the boundaries of what's possible with this technology.

In this role, you'll lead the entire product development lifecycle - from conceptualization to implementation - working with the latest AI agent frameworks to create scalable solutions. Your communication skills and technical vision will be essential as you help build new products from the ground up. If you're passionate about artificial intelligence and want to make a significant impact by developing next-generation AI technology that millions of customers will use, this is your opportunity to lead a transformative initiative.



Key job responsibilities
- Design and develop complex software solutions for AI agent systems, providing technical leadership through the full development lifecycle including design, code, testing, deployment, and maintenance
- Lead other engineers on the team, mentoring team members and fostering a collaborative environment while ensuring high-quality deliverables that follow best practices
- Work with stakeholders to define product requirements, technical specifications, and architectural designs for new AI-powered customer experiences
- Implement operational excellence by identifying and resolving root causes of operational issues, balancing new feature development with operational improvements
- Document software architecture, implementation details, and operational procedures to ensure knowledge transfer and maintainability of the team's products


About the team
Our new team is focused on building a platform to support SDO's Agentic AI applications. We're working on greenfield projects that will revolutionize how Amazon leverages Agentic AI for customer benefit. As a collaborative group passionate about pushing the boundaries of AI technology, we're creating practical solutions that make a meaningful difference in customer experiences.

As an emerging team, we value fresh perspectives and creative problem-solving. You'll have the opportunity to shape not just the products we build but also the team culture and technical direction as we grow. We're committed to fostering an inclusive environment where everyone's ideas are heard and the best solutions can emerge.

Basic Qualifications: - 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, BC, Vancouver - 114,800.00 - 191,800.00 CAD annually
More about this job

Responsibilities

Design and develop complex software solutions for AI agent systems while leading the full product development lifecycle. Mentor team members and collaborate with stakeholders to define technical specifications and ensure operational excellence.

Requirements

Requires at least 3 years of professional software development experience and 2 years of experience in system design or architecture. Proficiency in at least one programming language is mandatory.

Skills

  • Software development
  • System architecture
  • AI agent frameworks
  • Product development lifecycle
  • Technical leadership
  • Mentoring
  • Code reviews
  • Software testing
  • Deployment
  • Operational excellence
  • Scalable solutions
  • Artificial intelligence
  • Design patterns
  • Reliability
  • Source control management

Benefits

  • Health insurance
  • Medical insurance
  • Dental insurance
  • Vision insurance
  • Prescription insurance
  • Basic life insurance
  • AD&D insurance
  • Deferred profit sharing plan
  • Paid time off
  • Restricted stock units

Visa sponsorship

Not detected in the job text

Categories

  • Software
  • Technology
  • Engineering
  • Management & Leadership

Keywords

  • Software Development Engineer
  • Agentic AI
  • Greenfield project
  • Product development lifecycle
  • AI agent frameworks
  • Scalable solutions
  • Technical leadership
  • Operational excellence
  • Software architecture
  • Code reviews
  • Source control management
  • Testing
  • Deployment
  • Design patterns
  • Reliability
  • Computer science
  • Amazon
  • Artificial intelligence

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