공고 요약
원티드주요업무
고객 엔지니어링 팀과 협업하며 고객의 사업 프로세스, 기술 아키텍처 및 운영 제약 파악
고객 요구사항을 AI 기반 운영 시스템의 기술 설계로 구체화
AI 및 에이전틱 워크플로를 위한 운영 수준 소프트웨어 개발: 검색 파이프라인, 워크플로 자동화, API 오케스트레이션, 데이터 통합
파운데이션 모델, 고객 데이터 소스 및 기존 애플리케이션을 통합한 AI 경험 구현과 지연시간·신뢰성·비용 최적화
기획, 설계, 코드 작성, 테스트, 배포, 운영 및 유지보수를 포함한 소프트웨어 개발 수명주기 수행
AI 모델, 분산 시스템 및 애플리케이션 서비스의 운영 장애 대응과 근본 원인 해결
모니터링, 평가, 가드레일 및 CI/CD 구현과 운영 개선
신규 팀원 멘토링 및 코드 리뷰를 통한 코드 품질 향상
고객사 내 AI 도입 기회 발굴, 재사용 가능한 패턴과 도구 정리, AWS 서비스 및 팀 프로세스 개선
지원 역량
기술·비기술 대상에게 기술 개념을 설명하는 능력
애자일, 스타트업 또는 빠르게 성장하는 환경에서의 업무 경험
에이전틱 및 스펙 기반 개발 경험; AI 에이전트 개발 경험 우대
평가 프레임워크, 에이전트 도구, RAG 파이프라인 및 프롬프트 엔지니어링 등 AI 도구 활용 경험
근무환경
고객사 팀과 직접 협업
출장 30~50% 필요
지원방법
기업 사이트에서 지원
합격보상
지원자 현금 50만원
마감기한
상시채용
아마존 지원하기 전 이력서 Check
시간이 없다면 AI와 한번에 수정해보세요
공고 원문
소개
A Forward Deployed Engineer II (FDE II) embeds directly inside a strategic enterprise customer to independently design, build, deploy, and run AI-powered production systems alongside the customer's engineering team. FDE IIs write production-grade software and own delivery of complete AI workstreams end-to-end — from requirements gathering through production deployment — combining the technical rigor of an AWS SDE with the urgency and ownership required to deliver measurable customer business outcomes.
주요업무
• Embed within customer engineering teams. Work with customers, stakeholders, and peers to understand the business and customer value of the systems you build. Understand the customer's business processes, technical architecture, and operational constraints. Translate customer requirements into technical designs for AI-enabled production systems within your workstream. Requires 30–50% travel. • Build production AI applications. Design and develop production-grade software powering AI and agentic workflows — retrieval pipelines, workflow automation, API orchestration layers, data integration. Solve difficult problems with visible risks or roadblocks, bringing clarity and identifying simple designs for solutions. Integrate foundation models, customer data sources, and existing applications into cohesive AI experiences. Optimize for latency, reliability, and cost. • Own production for your workstream. Be a significant contributor to the full software development lifecycle including scoping, design, code, testing, deployment, operations, and maintenance. Troubleshoot production incidents across AI models, distributed systems, and application services. Ensure root causes of operational issues are identified and resolved. Implement monitoring, evaluations, guardrails, and CI/CD that keep AI systems healthy. Don't settle for the status quo — routinely identify and execute on opportunities to improve operations. • Mentor and uplift. Actively mentors and trains new team members on how systems are constructed, operated, and fit into the bigger picture. Coach others on producing high-quality code through mechanisms such as code review. Be active in the code review process, providing meaningful feedback to others. • Accelerate customer adoption. Identify opportunities to expand AI adoption within your customer engagement. Codify reusable patterns and accelerators that benefit future customer deployments and feed back into AWS services. Make enhancements that improve your team's software and processes.
자격요건
• 3+ years of non-internship professional software development experience • 2+ years of experience working in an Agile, startup, or rapidly scaling environment • Experience communicating technical concepts to both technical and non-technical audiences • Degree in Computer Science or related field, or equivalent professional experience • Experience with agentic and spec-driven development (developing AI agents a plus) • Experience with AI tools: eval frameworks, agent tooling, RAG pipelines, and prompt engineering
우대사항
• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience • Experience working in customer production environments • Experience building or deploying AI/ML applications in production environments • Background as a founder, engineering lead, or startup builder with high ownership and urgency • Prior experience with React, TypeScript, Python, and/or Go • Experience interfacing with customers or leading technical projects with external stakeholders • Experience working with teams that build and scale end-to-end production systems • Experience with AWS services
혜택 및 복지
자세한 사항은 홈페이지 참조
