Amazon
From Amazon's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
A Forward Deployed Engineer I embeds directly inside a strategic enterprise customer alongside senior FDEs to help design, build, and deploy AI-powered production systems. FDE Is write production-grade code under the guidance of senior engineers, contributing software components to AI systems that deliver measurable customer business outcomes.
FDE Is are early in their forward-deployment career. They take well-defined tasks within larger AI workstreams and deliver high-quality, well-tested code that goes to production. They learn rapidly from customer environments, constantly absorbing new techniques from senior FDEs. They operate with regular checkpoints and escalate when blocked, progressively taking on more difficult work as they demonstrate competence.
Embed within customer engineering teams. Work alongside senior FDEs and customer engineers to understand the customer's technical architecture and business context. Execute well-defined tasks within larger AI-enabled production systems. Requires 30–50% travel.
Build production AI application components. Develop and test production-grade software components — retrieval pipeline modules, workflow automation steps, API integrations, data connectors — under the technical direction of senior FDEs. Write clean, well-tested code that integrates into larger AI and agentic workflow systems. Solve straightforward software problems with visible risks or roadblocks.
Contribute to production operations. Participate in the full software development lifecycle: development, testing, deployment, operations, and documentation. Assist with production incident triage and operational runbooks. Implement testing, CI/CD pipelines, and observability instrumentation. Identify and resolve root causes of operational issues.
Learn and grow rapidly. Actively absorb knowledge about customer domains, AI/ML technologies, and AWS services. Seek feedback from senior engineers and apply it immediately. Demonstrate good judgment about when to work independently and when to escalate.
Contribute to reusable patterns. Identify opportunities to codify recurring solutions into reusable code libraries, templates, or documentation that benefit future customer deployments.
#auta-kr
Bachelor's degree or equivalent
Bachelor's degree or higher in Computer Science or a related field, or equivalent professional experience, completed between February 2025 and February 2027
Experience working in customer-facing or production environments
Strong business communication skills and high attention to detail
Business-level proficiency in both Korean and English
Legal authorization to work in Korea (Visa sponsorship is not available)
1+ years of non-internship professional software development experience
1+ years of experience working in an Agile, startup, or fast-scaling environment
Exposure to agentic and spec-driven development (developing AI agents a plus)
Familiarity with AI tools: eval frameworks, agent tooling, RAG pipelines, or prompt engineering
Exposure to building or deploying AI/ML applications
Prior experience with Python, React, TypeScript, and/or Go[SA4.1]
Experience with full software development lifecycle — coding standards, code reviews, source control, build processes, testing, and operations
Strong written and verbal communication skills; comfortable working in customer-facing environments
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.
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