1000万円以上のengineer japanの転職・求人情報

求める人材: Roles & Responsibilities * Design and implement complex application features across frontend, backend, and AI workflow layers * Independently develop and maintain backend services and APIs using Python and FastAPI * Build frontend interfaces and interaction layers using React, Next.js/Remix, and Tailwind CSS * Implement real-time streaming workflows using Server-Sent Events (SSE) or similar technologies * Design and implement LLM-integrated applications, including business workflow automation and knowledge retrieval systems * Build and optimize Retrieval-Augmented Generation (RAG) pipelines, including advanced retrieval strategies, hybrid search, and re-ranking techniques * Develop and maintain evaluation loops to measure AI output quality, retrieval effectiveness, and guardrail compliance * Design and implement guardrails and control mechanisms to improve safety, reliability, and output consistency * Contribute to architecture decisions related to service decomposition, integration patterns, and scalability * Build and optimize data pipelines, data transformation workflows, and data quality validation mechanisms * Implement and optimize CI/CD pipelines, deployment automation, and infrastructure provisioning workflows * Ensure systems meet security requirements, including authentication, authorization, and access control enforcement * Implement observability standards including logging, monitoring, tracing, and alerting * Review code, mentor junior engineers, and enforce engineering quality standards * Translate business and product requirements into technical specifications and implementation plans * Troubleshoot complex issues across application, AI, and infrastructure layers Skills & Requirements Experience * 4 to 6 years of software development experience * Experience building production-grade software systems, including exposure to AI-enabled or data-driven systems * Proven ability to independently own features and contribute to architectural decisions Architecture & System Design * Strong understanding of microservices architecture patterns and service decomposition * Experience implementing Test Driven Development (TDD) and structured testing practices * Strong understanding of database design principles across SQL and NoSQL systems * Ability to design scalable, maintainable, and resilient application components Frontend Development * Strong experience in React development * Experience building responsive interfaces using Tailwind CSS * Familiarity with Next.js or Remix frameworks * Understanding of SSE (Server-Sent Events) for real-time communication and streaming interactions Backend Development * Strong hands-on experience with Python development * Strong expertise in FastAPI and modern API development practices * Strong understanding of REST API principles, service integration, and backend architecture * Experience building scalable backend workflows and asynchronous processing patterns AI / ML Engineering * Strong understanding of LLM integration patterns and AI application workflows * Hands-on experience implementing advanced RAG architectures * Experience with Hybrid Search and Re-ranking strategies for retrieval optimization * Experience designing and maintaining evaluation loops for model quality and response consistency * Experience implementing Guardrails for safe and reliable AI behavior Data Engineering * Experience in data exploration and profiling * Experience building and maintaining data pipelines * Understanding of data quality validation and data integrity practices * Familiarity with structured and semi-structured data handling patterns DevOps & Cloud Engineering * Strong working knowledge of Docker and Kubernetes * Experience implementing and maintaining CI/CD pipelines * Hands-on experience with Infrastructure-as-Code (Terraform) * Understanding of cloud-native deployment patterns and release management Security & Observability * Strong understanding of IAM, OAuth2, and secure API design * Familiarity with network policies and service security controls * Experience implementing monitoring and observability using Prometheus, Grafana, and OpenTelemetry Engineering Practices * Strong debugging and troubleshooting capability across application and AI layers * Strong understanding of testing strategies and engineering quality practices * Experience in collaborative development and version control workflows * Ability to document technical decisions, designs, and implementation patterns clearly Soft Skills * Strong ownership and accountability for delivery outcomes * Ability to communicate technical trade-offs and architecture decisions clearly * Strong collaboration and adaptability in cross-functional teams * Leadership capability in guiding junior engineers and supporting team delivery * Strong problem-solving mindset with structured scenario analysis * Ability to translate business requirements into technical implementation plans * Reliability mindset with focus on system stability and maintainability * Openness to feedback and continuous improvement Nice to Have * Experience with LLM orchestration frameworks such as LangChain or similar * Exposure to vector databases and semantic search systems * Experience working with cloud platforms (AWS, Azure, GCP) * Experience in AI-first product or platform engineering environments * Experience supporting enterprise-scale AI implementations * Trial period 3 months; salary and conditions unchanged during trial Working hours Fixed-hours system, 9:00–18:00, 60-min break, 8 working hours Holidays and leave Two full days off per week (Sat/Sun), public holidays, year-end/New Year, summer leave, 10 days annual paid leave after 6 months, condolence/celebration leave, maternity/childcare/nursing-care leave (with take-up record); [n] days off per year Salary Annual ¥6,000,000–¥12,000,000 paid in 12 instalments); set on experience and skills; no fixed overtime included, overtime paid separately in full Raise and bonus Raise once a year (April); bonus twice a year (June and December), subject to company results and individual evaluation Social insurance Full coverage: health insurance, employees' pension, employment insurance, workers' accident insurance; enrolled from date of hire in accordance with law Benefits Annual health check, certification support (exam and renewal fees), book allowance, external training and conference fees, company PC and monitor, GPU/cloud environment provided, casual dress Passive smoking Indoor smoking prohibited Reason for hiring Additional headcount to strengthen the AI product development team Selection process Document screening → first interview (online) → technical assignment or technical interview → final interview → offer; as fast as 2 weeks from application

求める人材: 【必須条件】 以下のいずれかの経験をお持ちの方 ・Python、TypeScript等を用いたWebアプリケーション／バックエンド開発経験（3年以上目安） ・AWS、GCP、Azureのいずれかを利用したクラウド環境での開発・構築経験 ・API連携やシステム間連携の設計・実装経験 加えて、以下のいずれかに該当する方 ・LLMを活用したアプリケーション開発経験 ・顧客折衝を伴うシステム開発・導入プロジェクトの経験（SIer、受託開発、SaaS導入など） ・業務要件を整理し、システムに落とし込んだ経験 【歓迎条件】 ・AIエージェント、RAG、ワークフローシステムの開発経験 ・MCP（Model Context Protocol）の活用・MCPサーバー開発経験 ・Agent Framework（LangGraph、CrewAI、AutoGen等）の利用経験 ・Salesforce、kintone、Microsoft 365等の業務SaaSとの連携開発経験 ・BigQuery、Snowflake等のデータ基盤の構築・活用経験 ・オンプレミス環境や閉域網でのシステム構築経験 ・セキュリティ・認証・権限設計（SSO、SAML、OAuth等）の知識 ・金融、放送、製造業など大手企業向けプロジェクトの経験 ・プリセールス、技術コンサルティング、カスタマーサクセスの経験 ・Claude Code、CodexなどAIコーディングエージェントの活用経験 【求める人物像】 ・技術を使って、顧客の課題を実際に解決することに喜びを感じる方 ・顧客の現場に入り込み、業務を深く理解することが好きな方 ・曖昧な状況でも自ら課題を定義し、手を動かして前に進められる方 ・エンジニアリングとビジネスの両方の視点で物事を考えられる方 ・新しいAI技術を日常的に試し、実務に活かしたいと考えている方 ・顧客・社内メンバーと円滑にコミュニケーションを取れる方

求める人材: Roles & Responsibilities * Engage directly with customers to understand business challenges, technical requirements, and operational constraints * Translate customer requirements into solution designs, technical workflows, and implementation plans * Design, develop, and deploy production-grade applications using Python, JavaScript, or related technologies * Build and integrate LLM-powered applications, including conversational systems, automation workflows, and knowledge-based systems * Design and implement Retrieval-Augmented Generation (RAG) pipelines, including document ingestion, embedding strategies, retrieval optimization, and response orchestration * Build and manage agent-based architectures, including task orchestration, tool integration, and execution flows * Design and maintain evaluation frameworks to measure model quality, retrieval effectiveness, and output reliability * Implement and manage MLOps/LLMOps pipelines covering deployment, monitoring, versioning, rollback, and lifecycle management * Develop and deploy applications in cloud environments such as AWS, Azure, or GCP * Collaborate with data engineers, architects, and technical leads to integrate AI workflows into enterprise systems * Identify technical risks and implementation bottlenecks, proposing mitigation strategies proactively * Balance rapid prototyping with production-readiness, ensuring quality, scalability, and maintainability * Support optimization of delivery workflows by leveraging AI tools to improve engineering productivity and operational efficiency Skills & Requirements Experience * Minimum 5 years of experience in software engineering, technical implementation, or related technical delivery roles * Proven experience driving projects with direct client engagement and stakeholder management * Experience working in fast-paced, ambiguous delivery environments with strong ownership and execution capability Application Engineering * Strong hands-on development experience using Python and/or JavaScript * Experience building production-grade backend services, APIs, and application workflows * Strong understanding of software engineering fundamentals including modular design, testing, and maintainability * Experience integrating frontend and backend components for end-to-end solution delivery Applied AI Engineering * Demonstrated experience building or implementing applications leveraging Large Language Models (LLMs) and Generative AI technologies * Practical experience designing and implementing Retrieval-Augmented Generation (RAG) workflows * Experience in agent design, orchestration logic, and tool-based execution patterns * Experience building evaluation frameworks for model validation, retrieval quality, and output consistency * Understanding of prompt engineering, model behavior optimization, and AI system reliability Cloud & Platform Engineering * Experience building and deploying systems in cloud environments (AWS, GCP, Azure) * Experience with containerized deployment and cloud-native architecture patterns * Understanding of deployment automation, CI/CD pipelines, and infrastructure provisioning * Familiarity with application scalability, resilience, and cloud cost optimization MLOps / LLMOps * Experience designing and operating MLOps and/or LLMOps pipelines * Understanding of model lifecycle management including deployment, versioning, monitoring, and rollback * Experience implementing observability for AI systems, including performance and quality monitoring Customer Delivery & Stakeholder Engagement * Strong ability to engage with customers to clarify requirements, align expectations, and drive delivery decisions * Ability to explain complex technical concepts to business and non-technical stakeholders * Experience balancing customer priorities with technical feasibility and delivery constraints Soft Skills * Strong problem-solving orientation with a customer-first mindset * Ability to balance hands-on coding with customer-facing engagement * Strong decision-making capability under ambiguity * Ability to maintain delivery speed without compromising quality * Strong ownership and accountability for delivery outcomes * Ability to remain composed and effective in high-pressure delivery environments Nice to Have * Experience implementing large-scale enterprise systems * Experience in data security, governance, and access control design * Experience working in startup or new business environments * Experience collaborating with global or distributed teams * Strong English communication skills * Experience with observability tools and operational monitoring for AI systems

求める人材: 【スキル】 ・Gitを使ったチーム開発の経験 ・Dartでの開発経験

求める人材: 【必須】 ・Pythonを用いた開発経験3年以上 ・フルスタックエンジニアとしての業務経験3年以上 ・LLM / RAGを組み込んだWebアプリ開発経験2年以上 ・AI技術における選定・設計など上流工程から関わった業務経験 ・要件定義の経験 ・クラウド環境での開発経験 【尚可】 ・技術選定・アーキテクチャの設計経験 ・エンタープライズ向けSaaSの導入・カスタマイズ経験 ・AIエージェントフレームワーク（LangGraph, AutoGen等）の実務経験 ・データ統合・ETLパイプラインの構築経験 ・セキュリティに関する知見（認証/認可、コンプライアンス等）

求める人材: ・ServiceNowの導入または構築経験 (PoCの検討・製作) ・ServiceNowの機能・構成に関する知見 ・顧客の業務要件を整理し、ServiceNowの活用方法に落とし込んだ経験

求める人材: ＜スキル＞ ・SCM関連の業務知識 ・PMの実務経験

求める人材: 【必須】 ・Webアプリの開発経験 ・Python/Vue.jsでの開発経験 ・データベースの設計と最適化の経験 【尚可】 ・SaaSプロダクトの設計、開発経験 ・クラウド技術(GCP/AWS)の経験 ・機械学習やLLMの知見 ・生成AIの知見

求める人材: 【スキル】 ・iOSアプリ開発経験 ・Objective-C、Swiftスキル又は知見 ・HIGの基本的な理解 ・GitHubを使用したチーム開発経験

求める人材: 【必須】 ・TypeScript(Node.js)を用いたサーバーサイドの開発経験3年以上 ・Next.jsを用いた開発経験1年以上 ・自社開発企業でtoCサービスを開発した経験1年以上 ・生成AIを用いた開発経験 【尚可】 ・PM・テックリードなどのリーダ経験 ・iOS/Android向けアプリの開発経験 ・システムパフォーマンスチューニングのご経験 ・スタートアップ・ベンチャー企業での業務経験

求める人材: ・PM経験 ・大規模システム設計経験 ・バックエンド開発経験

求める人材: 【スキル】 ・RubyでのWeb開発業務の開発経験 ・Webアプリケーション・セキュリティに関する知識

求める人材: 【必須】 ・PM経験3年以上 ・自社開発企業でのtoBtoC向けWebサービス開発におけるPM経験 ・Typescript(Node.js)を用いたバックエンドの開発経験3年以上 ・React.js、Next.jsなどのFW・ライブラリを用いたフロントエンドの開発経験1年以上 ・AWS環境での開発経験 【尚可】 ・Vue.js、Nuxt.jsからReact.js、Next.jsへのリプレイス経験 ・Serverless Frameworkを用いた業務経験 ・DDD(ドメイン駆動設計) or クリーンアーキテクチャー環境での業務経験 ・データ分析の経験 ・Azure環境での業務経験 ・UI/UXに関する知見

求める人材: ・Reactを用いたフロントエンド開発実務経験 ・Node.jsを用いたサーバサイド開発経験 ・アジャイル開発手法を取り入れた現場での経験

求める人材: 【必須】 ・Pythonを用いたWebアプリケーションまたはAPI開発の実務経験 ・LLM API（OpenAI API等）を活用したシステム開発またはRAG構築の実務経験 ・RDB（PostgreSQL, MySQL等）およびベクトル検索（pgvector, Pinecone等）に関する知見・実務経験 ・Git / GitHub等を用いたチーム開発経験および要件定義〜設計〜テストの自走力 【尚可】 ・LangChain、LangGraph、LlamaIndex等のフレームワークを用いた開発経験 ・フロントエンド（React / Next.js / TypeScript）を用いたUI/UX実装開発経験 ・クラウド環境（AWS, GCP, Azure等）におけるAI基盤構築・Docker/Kubernetes運用経験 ・ファインチューニング（LoRA等）、ローカルLLM（Ollama等）、OCR、音声処理（Whisper等）の実装経験

求める人材: 【必須】 ・Azure設計構築経験（オンプレ→Azure移行）（ネットワーク） ・上流工程経験 ・Oracle、SQLサーバの知識 【尚可】 ・英会話能力

求める人材: 【スキル】 React、TypeScriptを用いたフロントエンド実装経験 【尚可スキル】 ・Webアプリケーションの開発、運用経験 ・Linuxshell環境での作業経験

求める人材: 【スキル】 ・TypeScriptの業務経験 ・Ruby on Railsの業務経験

求める人材: ・PMやPLとして開発推進した経験 ・豊富なアジャイル開発経験（スクラム尚可） ・web系、オープン系言語の開発経験（Java、Python、PHP等） ・BtoC向けサービス、アプリの開発経験

求める人材: ・Webアプリ開発：TypeScript／Nuxt／Node.js等 ・Androidアプリ開発：WebView、ハンディ端末等 ・アーキテクチャ設計、設計レビュー、コードレビュー ・技術課題・難所に対する支援 ・開発標準・品質基準・テスト観点の整備 ・GitHub／CI/CD等の開発環境に関する知見 ・生成AIを活用した開発経験（GitHub Copilot、Claude Code、Cursor等）