2 days ago
Seoul, Korea, SouthMid Level
Responsibilities
- Embed within strategic customer engineering teams and translate business requirements into technical designs for AI-enabled production systems.
- Build production AI applications, including retrieval pipelines, workflow automation, API orchestration layers, and data integrations.
- Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences while optimizing latency, reliability, and cost.
- Own the full software lifecycle, including scoping, design, coding, testing, deployment, operations, maintenance, monitoring, evaluations, and guardrails.
- Troubleshoot production incidents across AI models, distributed systems, and application services, and resolve operational root causes.
- Mentor and train new team members, participate in code reviews, and coach others on producing high-quality code.
- Identify opportunities to expand customer AI adoption and codify reusable patterns and accelerators for future deployments.
- Travel 30–50% as required by customer engagements.
Requirements
- 3+ years of non-internship professional software development experience.
- 2+ years of experience working in an Agile, startup, or rapidly scaling environment.
- Degree in Computer Science or a related field, or equivalent professional experience.
- Experience communicating technical concepts to technical and non-technical audiences.
- Experience with agentic and spec-driven development; experience developing AI agents is a plus.
- Experience with AI tools, including evaluation frameworks, agent tooling, retrieval-augmented generation pipelines, and prompt engineering.
- 3+ years covering the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations.
- Experience working in customer production environments and building or deploying AI/ML applications in production.
- Experience as a founder, engineering lead, or startup builder with high ownership and urgency is preferred.
- Prior experience with React, TypeScript, Python, and/or Go is preferred.
- Experience interfacing with customers, leading technical projects with external stakeholders, and working on end-to-end production systems is preferred.
- Experience with AWS services is preferred.
Benefits
- 30–50% customer-related travel is required.
- AWS offers work-life flexibility and work-life harmony initiatives.
- Employees have access to mentorship, knowledge-sharing, and career-growth resources.
- AWS supports employee-led and company-sponsored affinity groups and inclusion events.
- Workplace accommodations and application or onboarding support are available for candidates with disabilities.
Tech Stack
Categories
Forward Deployed
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.