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＜＜求人ポイント＞＞ ・【手応えのある1→10フェーズ】上場スタートアップグループの安定感と大手企業向け実績を備えた成長事業 ・【先進的なAI開発体制】AIツール活用率100%かつ金融水準の高度なガバナンス設計（Harness Engineering）を両立 ・【圧倒的な柔軟性】フルリモート・フレックス・裁量労働制を採用し、全国どこからでも多様な働き方が可能 ■年収範囲 9,000,000円 ～ 13,500,000円 ◆◆◆ 募集企業の取り組みについて ◆◆◆ テクノロジーとデータを最大限に活用し、金融や暮らしに寄り添う新たなデータ/AIソリューションを展開する上場フィンテックグループです。不動産領域向けデータSaaSや、エンタープライズ向けのモダンデータ基盤・AI協働プラットフォーム（MCP/AIエージェントガバナンス等）を自社開発し、大手デベロッパーや大手金融機関を中心に多様なソリューションを提供しています。確固たるデータ・技術基盤を武器に、企業の意思決定を最前線で支援し続けています。 ◆◆◆ なぜ実現できるのか ◆◆◆ ・[強み1：プロダクト力] 独自のデータ×AIスタックやモダンデータ基盤フレームワークを自社で保有・展開 ・[強み2：市場ポテンシャル] 人流・決済・不動産などの豊富な一次データ（オルタナティブデータ）を活用した高い市場優位性 ・[強み3：パートナーシップ] 大手デベロッパーや大手金融機関を中心としたエンタープライズ層での導入実績 ・[強み4：技術投資] Claude CodeやCursorなどの先進AIツールの日常的活用と金融水準のセキュリティガバナンス（MCP等）への積極投資 ◆◆◆ 本ポジションのやりがい ◆◆◆ 本ポジション（AIソフトウェアエンジニア / Forward Deployed Engineer）は、自社プロダクトの開発・技術選定・実装にとどまらず、顧客（大手エンタープライズ）の最前線に入り込んで課題解決やアーキテクチャ提案を一気通貫で主導します。エンジニア主導のカルチャーであり、フルスタックな技術力に加えてプロダクトマネジメント（PdM）やビジネス領域まで幅を広げられる環境です。また、日常的なAI駆動開発と厳格な品質管理プロセスを両立する先進的な開発体験が得られます。 ◆◆◆ 使用ツール ◆◆◆ - [言語 / フレームワーク]：Python (FastAPI) / TypeScript (React) / Terraform - [インフラ / クラウド]：AWS / Terraform / Docker / Aurora PostgreSQL / DynamoDB - [データ基盤]：Snowflake / Airflow / dbt / Lightdash - [AI / LLM]：AWS Bedrock (AgentCore) / Claude / OpenAI API / MCP - [開発 / AIツール]：Claude Code / Cursor / GitHub Actions ■必須スキル - Webアプリケーションのバックエンド開発経験 - AWS等のクラウド上でのインフラ構築経験 - AI駆動開発（個人開発含む）の経験 ■歓迎スキル - AI駆動開発の実務経験および生成AIのWebサービス組み込み経験 - Terraform等を用いたIaCによるクラウドインフラ構築・運用経験 - コンテナベースアプリケーションや大規模Webサービスの開発・運用経験 - セキュアコーディング、データベース/パフォーマンスチューニング、データ分析基盤構築の知見 --- ### ■ English Version > * [Rewarding 1-to-10 Phase] High-growth business within a listed Fintech group, supported by strong enterprise track records. * [Cutting-Edge AI Dev Environment] 100% AI-driven development paired with financial-grade governance (Harness Engineering). * [Unrivaled Flexibility] Full-remote work options, discretionary work systems, and flexible hours available nationwide across Japan. ■ Annual Salary Range 9,000,000 JPY ～ 13,500,000 JPY ◆◆◆ About the Company's Initiatives ◆◆◆ As a publicly listed Fintech group, the company maximizes the power of data and technology to create customer-centric financial and business solutions. The group develops in-house SaaS platforms for the real estate domain, modern data infrastructures, and enterprise AI collaboration platforms (such as MCP/AI agent governance). By partnering with major enterprise clients—including leading real estate developers and major financial institutions—the company actively transforms business decision-making through advanced AI and alternative data capabilities. ◆◆◆ Why We Can Achieve This ◆◆◆ * [Strength 1: Product Power] Proprietary Data x AI stacks and flexible modern data platform frameworks built fully in-house. * [Strength 2: Market Potential] High market advantage leveraging rich alternative data (payment, foot-traffic, real estate). * [Strength 3: Strategic Partnerships] Established track record with major enterprises, top-tier financial institutions, and leading developers. * [Strength 4: Tech Investment] Daily use of advanced AI coding tools (Claude Code, Cursor) combined with robust financial-grade security architectures. ◆◆◆ Why This Position is Rewarding ◆◆◆ In this dual role as an AI Software Engineer / Forward Deployed Engineer (FDE), you will not only build products but also work on the frontlines with enterprise clients, translating business challenges into robust technical architectures. Operating in an engineer-driven culture, you will have end-to-end autonomy—from requirement definition and technical selection to full-stack implementation. This position offers a unique chance to bridge software engineering with Product Management (PdM) and BizDev, all while mastering cutting-edge AI-driven development. ◆◆◆ Tools Used ◆◆◆ - [Languages / Frameworks]: Python (FastAPI), TypeScript (React), Terraform - [Infrastructure / Cloud]: AWS, Terraform, Docker, Aurora PostgreSQL, DynamoDB - [Data Platform]: Snowflake, Airflow, dbt, Lightdash - [AI / LLM]: AWS Bedrock (AgentCore), Claude, OpenAI API, MCP (Model Context Protocol) - [Dev / AI Tools]: Claude Code, Cursor, GitHub Actions ■ Minimum Requirements - Backend development experience with Web applications. - Hands-on experience building basic cloud infrastructure (e.g., AWS). - Experience with AI-driven development (including personal projects). ■ Preferred Qualifications - Practical experience with AI-driven development and integrating Generative AI into Web services. - Experience building cloud infrastructure using IaC tools like Terraform. - Experience in container-based app development, large-scale systems, or data pipeline architecture. - Knowledge of secure coding, database tuning, or system performance optimization. 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.