1000万円以上のpython ロボティクスの転職・求人情報

求める人材: 【必須】 ・Next.js＋TypeScriptでの業務システムの開発経験 ・アーキテクチャ設計、技術選定を自分で担当した経験 ・Webアプリのセキュリティ対策（CSRF／XSS／SQLインジェクション、認証認可）の実務経験 ・AIコーディングツール（Claude Code／Cursor／GitHub Copilot等、使用LLMは不問）の実務経験6ヶ月以上 ・コードレビューを担当した経験 ・Git／GitHubを使ったチーム開発の経験 【歓迎】 ・GCP（Cloud Run／Cloud SQL／Firestore）の運用経験 ・脆弱性診断、WAFの設定経験 ・LLM、RAGを組み込んだシステムの開発経験 ・複数AIでのクロスレビューなど、AIを使ったレビュー体制の運用経験 ・開発標準の整備、若手エンジニアの育成経験 ・PMPなどプロジェクトマネジメントの資格・経験 【求める人物像】 ・AIに書かせたコードをそのまま使うのではなく、設計意図に沿っているかを自分で判断できる方 ・助言にとどまらず、自分で手を動かして実装まで進められる方 ・PMと対話しながら、設計を実装に落とし込める方 ・指示を待たず、課題を見つけて自分から提案できる方

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】 ・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: ・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: 【スキル】 ・SQLを理解し、DDLやDMLを使いこなせること(最低でもGROUPBY、HAVING句が使用できる) ・Pythonを用いたコーディング経験 ・AWSRedshift、Glue、Lambda等を用いた分析環境構築/運用経験

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: 【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】 ・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