1000万円以上のc software engineerの転職・求人情報
勤務地の追加設定を忘れていませんか?
東京23区
大阪市
名古屋市
東京都
横浜市
川崎市
埼玉県
神奈川県
千葉市
大阪府
千葉県
神戸市
福岡市
京都市
兵庫県
京都府
福岡県
奈良県
- 正社員
AI Software Development Engineer – TECHANICAL LEAD
PRODAPTAI Software Development Engineer – Technical LEA...
東京都港区1-5-2,Higashi-Shimbashi
年俸1000万円~1600万円
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
残業なし
即日勤務OK
- こだわり条件を設定して求人を絞り込みましょう
- 雇用形態を設定して求人を絞り込みましょう
- 業務委託
新入社員にPython開発を教えるIT講師
株式会社DAN講師経験を活かし、企業研修という新たな活躍の場へ。
101-0061東京都千代田区神田三崎町
日給4万7300円~6万3800円
求めている人材 【必須要件】 Pythonでのシステム開発経験3年以上 ※Java、C#、C、COBOLの経験あれば尚可 【歓迎要件】 ■3年以上連続で登壇できる方 ■フレームワークの使用経験がある方 (Spring、Spring Boot等) ■講師経験をお持ちの方 (企業の新人研修、専門学校等) ■オンラインによる業務経験を通して、 オンラインツールに習熟している方 (Teams、Zoom等) 【活かせる知識・資格】 ■Oracle Java Gold ■情報処理技術者(基本/応用)
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経験者歓迎
女性が活躍中
+2個
- 業務委託
プロダクト開発AIエンジニア(ITフリーランス)
株式会社ココナラテック画像生成AIのスペシャリストであるITフリーランスを募集中!
〒150-0012東京都渋谷区広尾1丁目
月給100万円~130万円
資格 クリエイターの体験から逆算して技術判断できる方を求めています。評価の仕組みを構築して改善を検証できる方、権利や同意に関する制約を踏まえて判断できる方を歓迎します。少人数のチームで自律的に行動し、必要に応じて関係者へ適切に連携できる方を求めています。
在宅OK
経験者歓迎
長期歓迎
- 業務委託
Informaticaデータ連携開発エンジニア(ITフリーランス)
株式会社ココナラテックInformatica Cloud Data Integration(CDI)の経験が豊富なフリ...
〒106-0032東京都港区六本木3丁目1-1ティーキューブ
月給80万円~90万円
資格 関係者と円滑に連携し、要件整理や調整を主体的に進められる方を求めています。
在宅OK
経験者歓迎
長期歓迎
- 業務委託
【Python(機械学習・AI系)】生成AI・LLM向けRAG・AIデータ基盤の品質改善
(株)Branding Engineer【PL/PM・シニア層歓迎】高単価な案件で安心感。副業・リモート相談可の業務委託
渋谷区渋谷2-22-3渋谷東口ビル6F
月給100万円~130万円
求める人材: 【必須スキル】 ・RAGやLLMを活用したアプリケーション開発・改善の経験 ・LLMの評価設計や評価結果の分析経験 ・Python等を用いたAIデータ処理やデータ加工の経験 ・検索精度や回答精度などAIシステムの品質改善経験 【歓迎スキル】 ・ベクトルデータベースやEmbeddingを活用したRAG構築経験 ・LLMの評価指標設計や評価自動化の経験 ・データ基盤の設計・改善やETL処理の経験 ・LLMアプリケーションエンジニアとの協業経験
在宅OK
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