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＜＜求人ポイント＞＞ ・創業3年半でのスピード上場および年率60-80%のハイパーグロースを達成している新進気鋭のファームです。 ・外資系トップファームのエースや元AIスタートアップCTOなど、非常に優秀なメンバーが集結しています。 ・外資系戦略コンサル同等の高い報酬水準に加え、スキルに応じたRS（譲渡制限付株式）付与制度もあります。 ■年収範囲 6,000,000円 ～ 35,000,000円 ◆◆◆ 募集企業の取り組みについて ◆◆◆ 募集企業は、「戦略」と「デジタル」を掛け合わせて企業や社会、人を豊かにすることを目指して設立された新しい戦略コンサルティングファームです。単なる戦略やDXのコンサルティングサービス提供に留まらず、自らが“変革実現の主体”となり、クライアント企業や社会の進化に直接的に関わり続けることを目指しています。特定業界・業務に特化したAIソリューションの開発に注力しており、AI技術を実際の事業成果につなげることに強いこだわりを持っています。 ◆◆◆ なぜ実現できるのか ◆◆◆ ・強み1：プロダクト力：LLM、機械学習、最適化技術を活用し、業務ロジックの設計からモデル化、プロダクト実装まで一気通貫で対応できる開発力があります。 ・強み2：市場ポテンシャル：技術検証に留まらず、実際の業務プロセスや意思決定、KPIまでを設計してAIを事業成果へ結びつけるアプローチへの高い需要があります。 ・強み3：圧倒的な人材力：グローバル大手のトップファームやBig4出身のエース、アカデミックや元AIスタートアップCTOなど、多様で強力なバックグラウンドを持つメンバーが在籍しています。 ・強み4：技術投資：CopilotやClaude Codeなどの生成AIツールが自由利用できるほか、書籍購入費補助など、最新技術のキャッチアップと実装に集中できる環境が整っています。 ◆◆◆ 本ポジションのやりがい ◆◆◆ AIモデルを作って終わりではなく、実際の業務フローや意思決定ロジックの構造化、KPI設計まで深く踏み込み、実利的な事業成果にこだわるAI開発を主導できます。経営に近い距離でプロダクト方針や事業戦略の意思決定に関与できるため、組織の成長を肌で感じられます。将来的にはエンジニアリングの枠を超え、コンサルティング、事業開発、プロダクトマネジメントなど、多岐にわたるキャリアパスを選択できる点も大きな魅力です。 ◆◆◆ 使用ツール ◆◆◆ - 言語・基本ツール：Python / Git / GitHub - AI・データサイエンス：LLM API (OpenAI, Anthropic, Gemini等) / Prompt Engineering / RAG / LangChain / LangGraph / MLOps / LLMOps - 生産性向上：Copilot / Claude Code ■必須スキル ※以下いずれかのご経験をお持ちの方 - Pythonを用いたWebアプリケーションまたはAPI開発経験 - LLM APIを用いた開発経験、およびPrompt EngineeringやRAG等の実装経験 - 機械学習、データ分析、数理最適化領域での実務経験 - Git/GitHubを用いたチーム開発経験 ■歓迎スキル - AIエージェントの設計・実装経験、およびLangChain / LangGraph等の利用経験 - MLOps / LLMOpsの設計・運用経験 - SaaSまたはBtoBプロダクトの開発経験 - 業務改善、業務設計、BPRに関する経験 - 特定業界（製造、流通小売、自動車、SCM、通信等）に関するドメイン知識 --- ### ■ English Version * >* * An up-and-coming firm that achieved a rapid public listing within three and a half years of founding, maintaining a hyper-growth rate of 60-80% annually. * Top talent from global tier-1 strategy firms and former AI startup CTOs are gathered here. * Offers high compensation on par with global strategy consulting firms, along with a Restricted Stock (RS) grant system based on skill level. ■ Annual Salary Range 6,000,000 - 35,000,000 JPY ◆◆◆ About the Company's Initiatives ◆◆◆ The company is a "new" strategic consulting firm established with the goal of enriching corporations, society, and people by merging "strategy" with "digital". Rather than merely providing conventional strategy or DX consulting services, they aim to act as a "driving agent of transformation" and remain directly involved in the evolution of client businesses and society. They focus on developing AI solutions specialized for specific industries and operations, with a strong commitment to connecting AI implementation with tangible business outcomes. ◆◆◆ Why We Can Achieve This ◆◆◆ * Strength 1: Product Power: Possesses full-lifecycle development capabilities using LLM, machine learning, and mathematical optimization to handle everything from business logic design to modeling and product implementation. * Strength 2: Market Potential: High market demand for an approach that goes beyond technical validation, designing actual business processes, decision-making systems, and KPIs to generate business results. * Strength 3: Outstanding Human Capital: Home to professionals with diverse and powerful backgrounds, including top-tier consultants from MBB/Big 4, academics, and former AI startup CTOs. * Strength 4: Tech Investment: Provides a highly focused development environment with full access to advanced Generative AI tools like Copilot and Claude Code, alongside full subsidies for technical book purchases. ◆◆◆ Why This Position is Rewarding ◆◆◆ Instead of just building a model and finishing there, you can lead AI development that deeply integrates into actual business workflows, decision-making logics, and KPI tracking to deliver real business impact. Working closely with the executive team, you can participate in decisions regarding product direction and business strategies, allowing you to directly experience organizational growth. Looking ahead, you have the flexibility to choose a diverse career path extending beyond engineering into consulting, business development, or product management. ◆◆◆ Tools Used ◆◆◆ - Languages & Core Tools: Python, Git, GitHub - AI & Data Science: LLM APIs (OpenAI, Anthropic, Gemini, etc.), Prompt Engineering, RAG, LangChain, LangGraph, MLOps, LLMOps - Productivity: Copilot, Claude Code ■ Minimum Requirements *Applicants must have experience in at least one of the following areas:* - Web application or API development experience using Python. - Development experience using LLM APIs, and implementation experience with Prompt Engineering, RAG, etc. - Professional experience in machine learning, data analysis, or mathematical optimization fields. - Experience in team development using Git/GitHub. ■ Preferred Qualifications - Experience in AI agent design and implementation, and experience using LangChain / LangGraph, etc. - Experience in the design and operation of MLOps / LLMOps. - Development experience in SaaS or BtoB products. - Experience related to business improvement, operational design, or BPR (Business Process Re-engineering). - Domain knowledge regarding specific industries (e.g., Manufacturing, Retail/Distribution, Automotive, SCM, Telecommunications, etc.). 当社の転職支援サービスに登録または利用した時点で、 以下の利用規約とプライバシーポリシーの内容全てに同意したものとみなされます。 ■ ブルームテックキャリア - 職業紹介サービス 利用規約 https://bloomtech.co.jp/terms/ - プライバシーポリシー https://bloomtech.co.jp/privacy/
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.