1000万円以上のqa engineerの転職・求人情報

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: 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: 【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を用いた開発のご経験が3年以上 ・HTML／XML等の定型データ構造を扱うアプリケーションの開発のご経験 ・データ集計およびAPI連携の実装のご経験 【尚可】 ・セキュアコーディングのご経験

求める人材: ・Azureのアーキテクチャ設計や要件定義の経験 ・顧客折衝経験 ・AI／生成AIに関する知見

求める人材: ・PythonのWEBフレームワークを使用した実務経験 ・DB設計経験 ・機械学習、ディープラーニングを含むモデル実装経験 ・AWS/Azure/GCPを使用した開発経験(いずれかの経験で) ・CI/CDを使用した実務経験 ・クラウドプラットフォームやコンテナ技術を使用したご経験

求める人材: 【必須】 ・Kubernetesを用いた環境構築・検証・運用経験 ・Kubernetesによるコンテナオーケストレーションの知識・実務経験 ・Linux環境での開発・構築・運用経験 ・オンプレミス環境での開発・構築・運用経験 ・OT（工場）領域または製造業界に関する知識・実務経験 ・インフラまたはプラットフォームに関する検証項目・評価基準・検証手順の作成経験 ・検証で発生した技術課題の原因分析および対応方針の検討経験 【尚可】 ・Red Hat OpenShiftを用いた環境構築・検証・運用経験 ・Red Hat OpenShiftとKubernetesの構成・機能差に関する知識 ・データ活用プラットフォームの構築・検証経験 ・組み込みシステム開発に関する知識・実務経験

求める人材: 【必須】 ・AWS設計構築経験 4年以上 ・サーバ、NW、セキュリティを含むインフラ基盤全般の実務経験 ・AWS Well-Architected Frameworkを踏まえた設計経験または知見 ・作業計画を作成し、QCDを意識して作業できる方 ・顧客向け資料作成および説明経験 【尚可】 ・Squidの設計構築経験 ・金融/保険業界におけるインフラ基盤案件の経験

求める人材: ・AI、機械学習を用いたSaaS案件でのご経験 ・TypeScript（React.js、Next.js）を用いた開発経験 ・バックエンドの開発経験 ・クラウドを用いた開発経験 ・アジャイル開発経験 ・Docker、Kubernetesなどのコンテナ技術を用いたご経験

求める人材: 【スキル】 ・データ管理or統合の経験 ・SharePointの知見

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: 【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】 ・Vector Search／画像検索／レコメンド／RAG等、検索を中核とした機能の実プロダクト実装経験 ・画像認識／Computer Visionを検索・照合・類似度判定等へ応用した経験 ・PyTorch等を用いたDeep Learningモデルの実装／利用経験 ・Embedding／特徴量を用いた検索ロジックの設計・実装経験 ・実データを用いた実装〜評価〜改善サイクルの経験 ・AIモデル／検索ロジックをAPIやWebサービス等へ組み込んだ経験 【尚可】 ・類似画像検索／Image Retrievalの実務経験 ・大規模データを対象とした検索／推薦システムの設計・運用経験 ・OCR／帳票解析／文書画像解析の経験 ・図面／CAD／製造業データを扱った経験 ・物体検出／セグメンテーションの実務経験 ・画像／テキスト／構造化データを組み合わせたMultimodal Searchの経験 ・Vision／Multimodalモデルの利用経験 ・アノテーション設計、ラベル定義、データクレンジング／データ拡張経験 ・ユーザーフィードバックや実データを利用した継続的なモデル改善経験 ・MLOps／モデルデプロイ／推論基盤構築経験 ・Kaggle上位入賞／OSS貢献／論文実装等の対外的な技術実績

求める人材: 【必須】 ・レコメンド機能の開発・運用経験（直近5年で2年以上目安） ・MAU数十万以上、または同等規模のサービスでの開発経験 ・モデル開発から本番導入、運用・改善、効果検証まで一貫して携わった経験 ・CTR、CVR、LTV等のKPI改善を目的とした機械学習施策の推進経験 ・チームまたはプロジェクトのリード経験 ・CF、MF、DNN、Transformer、Two-Tower、Wide & Deep、GNN、DeepFM等を用いたレコメンド開発経験 【尚可】 ・EC、SNSでのレコメンド開発経験 ・リアルタイム推論の開発・運用経験 ・GCP、AWS、BigQuery等を用いたデータ・機械学習基盤の知見 ・PdMやビジネス担当と連携した機械学習施策の推進経験

求める人材: ＜必須スキル＞ ・Webアプリケーション開発経験（5年以上） ・生成AIまたはLLMを活用したアプリケーション開発経験（重要） ・バックエンド開発における設計・実装経験 ・リードエンジニアまたはテックリードとして開発チームを牽引した経験 ・アーキテクチャ設計または技術選定の実務経験 ・コードレビューや技術レビューを通じた品質改善経験 ・必要に応じ都内に出社できる方 ＜尚可＞ ・TypeScriptやPythonを用いた開発経験 ・AWS、GCP、Azureなどクラウド環境での構築・運用経験 ・RAGやAIエージェントなど生成AI関連技術の実務経験 ・Terraform、Docker、Kubernetesなどを活用した開発経験 ・CI/CD環境の構築・運用・改善経験 ・新規サービスまたは新規プロダクト立ち上げ経験 ・メンバー育成や技術支援、チームビルディング経験 ・アジャイル開発環境でのリード経験