Software Dev Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Software Dev Engineer (Agentic AI): Building a new AWS service for short and long-term memory capabilities in autonomous AI agents with an accent on scalable, efficient, and fault-tolerant distributed machine learning systems. Focus on designing system architecture, developing large-scale solutions, and collaborating with applied scientists on strategic projects.
Location: USA, NJ Jersey City or USA, NY New York (onsite)
Salary: 158,100 - 213,800 USD annually
Company
AWS Agentic AI organization empowering developers with foundational AI services for agentic systems.
What you will do
- Design, develop, test, and deploy distributed machine learning systems and large-scale solutions for global customers.
- Drive system architecture and best practices for quality products.
- Collaborate with applied scientists to influence overall strategy.
- Mentor junior engineers and provide leadership on complex technical issues.
- Deliver strategic technical projects with significant business impact.
Requirements
- 3+ years of non-internship professional software development experience
- 3+ years of programming with at least one software programming language
- 3+ years contributing to systems architecture, design patterns, reliability, and scaling
- Experience building scalable, efficient, fault-tolerant services preferred.
- Strong technical ability, communication skills, and motivation for fast-paced environment.
Nice to have
- 3+ years of full software development life cycle experience (coding standards, code reviews, source control, build processes, testing, operations).
- Bachelor's degree in computer science or equivalent.
- Experience with machine learning systems.
Culture & Benefits
- Comprehensive benefits including health insurance (medical, dental, vision), 401(k) matching, paid time off, parental leave.
- Sign-on payments and restricted stock units (RSUs).
- Support for disabilities and accommodations in hiring process.
- Knowledge-sharing, one-on-one mentoring, thorough code reviews.
- Career growth through challenging projects and development opportunities.
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