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Machine Learning Engineer

Machine Learning Engineer

Backend Engineer, AI Platform(AI/ML)

株式会社BALLAS

Sector 1

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Role description

AIを社会実装するBackend Engineer|図面・設計・調達データをプロダクトへ

Description
AIが扱えない産業データを、AIが扱える形へ

BALLASは、設計・調達・製造・施工にまたがる膨大な業務データを保有しています。

図面、見積、発注、製作図、施工に関するコミュニケーション。

これらは長年、人の経験や暗黙知によって運用されてきた情報です。

私たちは、このデータを構造化し、AIが理解・活用できる状態へ変換することで、建設サプライチェーン全体の生産性向上に挑戦しています。

AI/MLエンジニアが開発したモデルを実際のプロダクトへ組み込み、社会実装するBackend Engineerを募集しています。

具体的な業務

AI・機械学習モデルをプロダクトとして届けるためのバックエンド開発を担当いただきます。

  • AI/MLモデルを利用するAPIの設計・実装
  • FastAPIを用いたAIマイクロサービス開発
  • LLM・マルチモーダルAI機能のプロダクト組み込み
  • Vertex AI、Geminiを活用したAI基盤構築
  • モデル推論基盤の性能改善・スケーリング
  • GraphQL APIの設計・実装
  • AI/MLエンジニアとの協業による社会実装推進
  • SREと連携した運用設計・監視基盤整備

技術環境(2026年6月時点)

フロントエンド

React、Next.js、TypeScript

バックエンド

Python、FastAPI、NestJS、TypeScript、GraphQL、GraphQL

Testing

Jest

AI/ML

Vertex AI、Gemini、Cloud Vision API

Infrastructure

Google Cloud Platform (GCP)、Firebase、Vertex AI、Cloud Vision API、Gemini、Docker、Terraform、PostgreSQL

DevOps

GitHub、Notion、Cursor Agent、Devin、Gemini、Google Cloud Monitoring、Sentry、Google Cloud Monitoring

Design / Collaboration

Figma、Miro、Slack、Notion

このポジションで得られる挑戦

  • AI/MLモデルのPoCから社会実装まで一気通貫で関われる
  • 図面・設計・調達データなど、AIがまだ十分に活用できていない産業データを扱える
  • AI、ソフトウェア、業務オペレーションを横断しながら価値創出に取り組める
  • AI Nativeな産業ソフトウェアの設計・開発経験を積める
  • Backend Engineerとしてだけでなく、AI Platform EngineerやTech Leadへとキャリアを広げられる
  • 急速に進化する生成AI技術を実サービスへ適用し続ける環境で挑戦できる

なぜ、AIだけでは産業は変わらないのか?

多くのAIプロダクトは、既存業務の一部を効率化することに留まっています。

しかし、建設業や製造業のようなリアル産業では、単純な自動化だけでは価値を生み出せません。

そこには

・図面

・仕様書

・見積

・発注

・施工計画

といった膨大な非構造データが存在し、

さらに、

・企業ごとに異なる業務プロセス

・例外だらけの現場判断

・暗黙知に依存した意思決定

が複雑に絡み合っています。

AIが本当に価値を発揮するためには、業務そのものを構造化し、

AIが理解・実行できる状態へ変換する必要があります。

BALLASが取り組んでいるのは、単なるAI活用ではありません。

産業の意思決定をコード化し、再現可能な仕組みとして実装することです。

BALLASとは?

「建設業を最適化し、人々を幸せに。」をミッションに掲げ、建設サプライチェーンをアップグレードするテックカンパニーです。

プラットフォーム運営を通じて設計・調達・製造に携わりながら一次情報を蓄積し、業界の標準化・最適化を推進しています。

リアルなオペレーションをコード化し、AI Nativeな産業インフラの構築を目指しています。

BALLASのプロダクト

BALLASでは「BALLAS SCM」と「BALLAS LINKS」の2つのプロダクトがあります。

・「BALLAS SCM」:自社とパートナー工場様が使うサービスで、設計から製造までのオペレーションをAI Nativeに再設計するためのプロダクトです。

・「BALLAS LINKS」:お客様である建設工事会社様が使うプロダクトです。こちらは、建設工事会社様の内部にある設計・調達プロセスを統合するプロジェクト基盤になります。

今までお客様は、図面の管理にファイルサーバーやクラウド、仕様の協議はメールやチャット、やりとりは口頭と様々なツールを使い分ける状況でした。それを一つに統合することで、認識のズレや余計な工数を大幅に削減できます。さらに、蓄積された作図・購買プロセスデータをもとに、AIによる業務の自動化も進めています。

【参考:BALLASが取り組む課題】

BALLASが挑む建設サプライチェーンの復興──消えゆく町工場と日本の課題

https://youtrust.jp/studio/articles/ballas

代表・木村の起業への想い

なぜBALLASを立ち上げたのか

1400年以上にわたり日本の発展を支えてきた建設業界は、今なお社会インフラを支える巨大産業です。一方で、現場では深刻な職人不足や、アナログで不透明な調達プロセスによる過度な調整負担など、産業全体の生産性を阻害する課題が残されています。

多重請負構造の中で分断されてきた設計・調達・製造・施工のプロセスをデータでつなぎ直し、人とAIが協働できる業務構造へ再設計することで、人が創造的な仕事や本質的な意思決定に集中できる産業を実現したい。

その想いから、BALLASを創業しました。

BALLASが目指すのは、
顧客・パートナーにDXを強制しないDX
です。

建設部材の調達プラットフォーム「BALLAS」は、自らがサプライヤーとして設計・調達・製造に携わりながら一次情報を蓄積し、業界の標準化・最適化を推進しています。「BALLASに頼めば、やり方を変えずに業務が最適化されていく」そんな体験を提供していきたいと考えています。

【参考:サプライヤーBALLASという戦略】

■取締役COO中西「川下から川上へ、サプライチェーンをかえる」

https://note.com/ballas/n/nd8f29e3d2c54

BALLASという組織の3つの魅力

① 産業変革の最前線で、事業と組織の両方をつくるフェーズ

IPOを目指す成長過程にありながら、事業・組織ともに未完成。

仕組みづくりや新たな挑戦の機会が数多くあります。

【参考:投資家対談】

■非住宅分野の工業化(大和ハウス工業とBALLASのチャレンジ)

https://newspicks.com/news/16132298/body/

■AI時代の建設業の在り方(山九株式会社と、BALLASのチャレンジ)

https://note.com/ballas/n/nac0071ddd0dc?magazine\_key\=m2d2c927dffd6

■建設サプライチェーンを絶やさない(日揮株式会社と、BALLASのチャレンジ)

https://note.com/ballas/n/n231c96e140b5?magazine\_key\=m2d2c927dffd6

② AI Nativeな働き方を実践する組織

Claude Code、Cursor、Devin、Gemini などの生成AIツールを組織の標準装備として活用しています。

AIを個人の工夫に留めず、組織の生産性向上につなげる取り組みを推進しています。

【参考:投資家対談】

AIと相性のよいBALLASという事業(Z VCからみたBALLAS)

https://note.com/ballas/n/n8e9b32584463

③ 強みを伸ばしながら成長できる人事制度

マトリクス型キャリアモデルを採用。

マネジメントだけでなく、専門性を高めるキャリアも選択できる環境です。

【参考:BALLASの組織開発】

共同創業者 執行役員 コーポレート本部 責任者益田の記事

https://note.com/ballas/n/nbaa4cb59f8d1

Requirements

  • Pythonのフレームワークを使用したWebアプリケーション開発の実務経験(3年以上目安)
  • Pythonを用いた開発実務経験(3年以上目安)
  • 自社サービス開発・運営を行う企業におけるWebアプリケーション開発の経験(3年以上目安)
  • RDBMS を用いたシステム設計・開発経験
  • Docker に代表されるコンテナ技術を用いたサービス設計・開発経験

Preferred Experiences

  • MLOpsの原則とツールへの精通
  • SaaSプロダクトの開発・運用経験
  • テックリード等の役割で、サービス設計開発を主導した経験
  • AWS、GCP、Azure などのパブリッククラウドについて、IaCツールを用いてインフラ構築を行い運用した経験
  • コンピュータサイエンスの専攻
  • 建設業界のドメイン知識(なくてもキャッチアップ可能)
  • Next.js/TypeScriptを利用したフロントエンド開発経験
  • Nest.js/TypeScriptを利用したバックエンド開発経験

We are looking for

  • AIモデルを作るだけでなく、社会実装まで責任を持ちたい方
  • AI・ソフトウェア・業務オペレーションを横断して価値創出に取り組みたい方
  • API設計やシステムアーキテクチャに関心がある方
  • LLMやマルチモーダルAIを実プロダクトへ組み込むことに興味がある方
  • AI Nativeな産業ソフトウェアをゼロから作りたい方

一緒に働くメンバー

メンバー例

■プロダクト開発部 責任者 濱田

AI Nativeなプロダクト開発

https://note.com/ballas/n/n17474f6ad1c2

■テックリード 片岡

コミュニケーションと情報の最適化で「良いモノづくり」を実現

https://note.com/ballas/n/ncd9a27ac3c4f?magazine\_key\=mf040e7ab6852

■設計DX 大関

リアル×テックで進化する設計 – 構造から変える、建設業の未来

https://note.com/ballas/n/nda4feb73969f?magazine\_key\=mf040e7ab6852

TEAM BALLAS

平均年齢は32.4歳。

若い組織でありながら、設計・施工・調達・生産管理など、それぞれの領域で実務経験を積んだプロフェッショナルが集まっています。

職種や役職に関わらず、互いを尊重しながらフラットに議論し、より良い顧客価値の創出に向き合っています。

また、BALLASには11条からなる「BALLAS信条」があり、メンバー一人ひとりが以下のような価値観を大切にしています。

  • ゴール思考
  • 組織での付加価値最大化
  • 他責にしない

こうした価値観を共有しながら、産業変革に挑戦しています。

Working Conditions

Salary

  • 想定年収800万~1200万円
  • 月給制

※専門業務型裁量労働制を導入

Location

①神田オフィス

東京都千代田区神田須田町2-1-1 MA SQUARE AKIHABARA 5階

②大阪オフィス

大阪府大阪市中央区平野町3-1-6 BizMiiX Yodoyabashi 3階

※配属は応募者様の希望に応じて決定

※リモート勤務可(週1回の出社想定)

Job Type 正社員 Work hours

  • 専門業務型裁量労働制
  • 1日のみなし時間:8時間00分
  • 年間休日120日(内訳:完全週休二日制、土曜、日曜、祝日、年末年始)
  • 有給休暇:入社日に10日付与、入社日後6か月を経過した日に10日付与、入社日後1年ごとに20日付与

Probation period 有 3か月(最大6か月、試用期間中の勤務条件:有機雇用契約) Benefits

■ AI Nativeな組織

Claude Code、Cursor、Devin、Gemini などの生成AIツールの利用可能。

AIを個人利用のツールではなく、組織の標準装備として位置づけています。

日々の情報収集、ナレッジ共有、資料作成、意思決定支援などに生成AIを活用し、人がより本質的な課題解決や創造的な仕事に集中できる環境づくりを進めています。

■ その他

社会保険完備(健康保険・厚生年金・雇用保険・労災保険)

業務用PC貸与

書籍購入、資格取得、セミナー参加等の学習支援制度

カフェ代補助

AIツール利用環境の提供

Company information

Name 株式会社BALLAS Established 2022年2月 Headquarter Location 東京都中央区銀座一丁目22-11 銀座大竹ビジデンス2階 Branch locations

■東京オフィス 【本店】

東京都千代田区神田須田町2-1-1 MA SQUARE AKIHABARA 5階

■大阪オフィス

大阪府大阪市中央区平野町3-1-6 BizMiiX Yodoyabashi 3階

Business description

■会社情報

「建設業を最適化し、人々を幸せに。」をミッションに掲げ、建設サプライチェーンをアップグレードするテックカンパニーです。プラットフォーム運営を通じて設計・調達・製造に携わりながら一次情報を蓄積し、業界の標準化・最適化を推進しています。リアルなオペレーションをコード化し、AI Nativeな産業インフラの構築を目指しています。

■事業内容

建設部材の調達プラットフォーム 「BALLAS」は、76兆円規模の建設業界に残る膨大な属人的オペレーションをソフトウェアとAIで再設計。設計・調達・製造・施工にまたがる意思決定をコード化し、建設サプライチェーン全体の生産性を継続的に改善できるAI-powered Supply Chain Platformを構築しています。

Capital 100,000,000円 Employees 110名(※業務委託等含む、2026年8月時点) Website URL https://www.ballas.biz/

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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We take the posting apart down to the real requirements and rewrite your resume against it — by asking, not inventing: no line appears without your confirmation. Sign in to get it first, and to enter the draw.

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A discount on mentoring

Winners are drawn at random among entries with a confirmed email. The date and the full rules are on the draw page.

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Machine Learning Engineer

Graduate data scientist

Bending Spoons

Remoteparttimejunior

Apply on the employer's site

Role description

At Bending Spoons, we’re striving to build one of the all-time great companies. A company that serves a huge number of customers. A company where team members grow to their full potential. A company that functions at unparalleled levels of effectiveness and efficiency. A company that creates value for shareowners at an extraordinary rate. And a company that does so while adhering to high ethical standards.

In pursuit of this objective, we acquire and improve digital businesses, not to sell on, but to own and operate for the long term. The transformations we make are often deep—designed to speed up innovation, benefit customers, and strengthen business performance. Here, hierarchy is minimal and teams are small and talent-dense. We operate established products with the ambition, agility, and urgency of a startup. Across the company, we integrate AI deeply into how we work so that human judgment and machine intelligence reinforce each other.

For a talented, driven, and collaborative individual, working at Bending Spoons is an opportunity to learn, make an impact, and progress their career at an exceptionally high rate. That’s our promise to such a candidate.

A few examples of your responsibilities

  • Design and improve data pipelines.
    Contribute to the design and evolution of data systems—ensuring data is accurate, reliable, and efficiently processed across diverse tech stacks.
  • Ensure data correctness and scalability.
    Work closely with software engineers to validate data, define metrics, and improve the robustness of reporting and analytics systems.
  • Develop internal data products and tooling.
    Help build scalable solutions (e.g., reporting engines, forecasting tools) used by product teams across the company.
  • Support platform-wide decision-making.
    Partner with multiple teams to provide the analytical and modeling backbone for business planning and performance tracking.
  • Leverage AI to accelerate work and uncover insights.
    Use AI tools to move faster, surface ideas and opportunities, and study competing products and trends.

What we look for

  • Reasoning ability.
    Given the necessary knowledge, you can solve complex problems. You think from first principles, and structure your ideas sharply. You resist the influence of biases. You identify and take care of the details that matter.
  • Drive.
    You’re extremely ambitious in everything you do—and your initiative, effort, and tenacity match the intensity of your ambition. You feel deeply responsible for your work. You hold yourself to a high—and rising—bar.
  • Team spirit.
    You give generously and without the expectation of receiving in return. You support the best idea, not your idea. You're always happy to get your hands dirty to help your team. You’re reliable, honest, and transparent.
  • Proficiency in English.
    You read, write, and speak proficiently in English.

What we offer

  • Incredibly talented, entrepreneurial teams.
    You’ll work in small, result-oriented, autonomous teams alongside some of the brightest people in your field.
  • An exceptional opportunity for growth.
    We go to great lengths to hire individuals of outstanding potential—then, our priority is to put them in the ideal position to thrive. Spooners in their 20s lead products worth hundreds of millions of dollars. And if you’ve got what it takes, you’ll soon be playing an essential role in major projects, too.
  • All. These. Benefits.
    Flexible hours, remote working, unlimited backing for learning and training, top-of-the-market health insurance, a rich relocation package, generous parental support, and a yearly retreat to a stunning location. We help each Spooner set up the conditions to do their best work.
  • Competitive pay and access to company equity at a discount.
    Typical annual salary offers range from £85,797 to £151,436 in London and from €66,065 to €107,837 elsewhere in Europe. The lower end of these ranges applies to candidates with little or no relevant experience, while exceptionally experienced candidates may receive offers of up to £316,052 in London or €240,330 elsewhere in Europe. Candidates offered a permanent contract may choose to receive part of their compensation in discounted company equity.

Commitment & contract
Permanent or fixed-term. Full-time or part-time.

Location
Milan (Italy), London (UK), Madrid (Spain), Warsaw (Poland), or fully remote from eligible countries.

The selection process
In our screening process, we prioritize verifiable signals of excellence, regardless of seniority. There are no preferential paths beyond what your application demonstrates, and we evaluate every candidate through the same process.

Some people hold back because they feel they lack experience or have an “imperfect” CV. If you like the role and believe you could excel over time, don’t self-reject.

All applications go through our careers page, which is the only way to be considered. If you pass our screening, you’ll be asked to complete one or more tests. They are challenging, may involve unfamiliar problems, and can take several hours. To learn more about what to expect throughout the selection process, you can find additional information here.

We set the bar high and won’t extend an offer until we’re confident we’ve found the right candidate. This is why a job may remain open for months or be reposted several times.

We consider all applicants for employment and provide reasonable accommodations for individuals with disabilities—please let us know through this form.

Before you apply
If you’ve applied before but didn't receive an offer, we recommend waiting at least one year before applying again.

Bending Spoons is a demanding environment. We’re extremely ambitious and we hold ourselves—and one another—to a high standard. While this tends to lead to extraordinary learning, achievement, and career growth, it also requires significant commitment.

To help you ramp up quickly and set yourself up for success, we expect you to spend most days in our Milan office during your first few months with us, regardless of your long-term work location. It’s the best way to rapidly absorb our company culture and build trust with your new teammates. We’ll support you with generous travel and accommodation assistance. After that, you’re welcome to work from one of our offices, or remotely from approved countries—depending on what we agree at the offer stage.

If the role speaks to you and you’re excited to give your best, we’d love to hear from you. Apply now—we can’t wait to meet you.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Machine Learning Engineer

AI ENGINEER

Heinsohn

Remote

Apply on the employer's site

Role description

At Heinsohn, we partner with clients across North America and LATAM, building innovative solutions in an agile, diverse, and multicultural environment. We are passionate about technology, continuous learning, and collaboration - and we want you to be part of this growth.

We are looking for a
AI Engineer specialized in Agentic AI
to join our team and bring expertise that will contribute to the success of high-impact international projects.

✨ Responsibilities

  • Design and develop Agentic AI solutions focused on process automation and solving complex problems.
  • Develop and implement AI agents using Google Cloud Vertex AI and/or Azure AI Agents.
  • Integrate AI models and services into enterprise applications and solutions.
  • Contribute to the design, development, and continuous improvement of AI agent-based architectures.
  • Collaborate with technical and business teams to identify opportunities for applying artificial intelligence.
  • Develop scalable and reliable solutions leveraging cloud-based AI technologies.

NOTE: PER HOURS
✅ Requirements

  • 3+ years of Professional experience developing Artificial Intelligence solutions.
  • Proven experience with Agentic AI / AI Agents.
  • Hands-on experience with Google Cloud Vertex AI and/or Azure AI Agents.
  • Knowledge of developing and integrating solutions based on AI models.
  • Ability to design solutions focused on automation and autonomous task execution.
  • Strong analytical and problem-solving skills.
  • English B2 or higher for communication with international teams and clients.

🌟 Benefits

  • 100% remote work from any LATAM country
  • Opportunity to work on international projects with multicultural teams
  • Culture that encourages professional development and continuous learning
  • Spaces for innovation, well-being, and career growth

Ready to take your talent to the next level?
At Heinsohn, we value innovation, passion for technology, and teamwork. If this sounds like your next challenge, apply today and let’s make history together! ✨

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Machine Learning Engineer

Senior Software Engineer - AI

Beyond

Remotesenior

Apply on the employer's site

Role description

As our hiring team is international, we kindly ask that you submit your CV in English to ensure it can be reviewed by all stakeholders.

Work where work matters.

We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.

You will join an exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you'll be proud to tell your friends about.

We are looking for a
Senior AI Engineer
with deep expertise in Vertex AI, Python, and Large Language Models to join our Americas team. In this role, you will be responsible for architecting and deploying the production-grade AI solutions that power next-generation intelligent applications for our enterprise clients in North America. Based in Argentina, you will act as a core technical pillar for the region, bridging the gap between client requirements and high-performance delivery. You will focus on engineering excellence, specifically in the realms of generative AI, RAG architectures, and agentic systems, while collaborating with our global engineering teams in Europe.

We look for people who embody:

Innovation
to solve the hardest problems.

‍
Accountability
for every result.

‍
Integrity
always.

About The Role

  • Architect AI Solutions:
    Build and deploy production-grade AI features, including RAG (Retrieval-Augmented Generation) pipelines, LLM orchestrations, and Agentic workflows using Vertex AI.
  • Develop Core Logic:
    Write clean, maintainable, and highly efficient code in Python to support AI model integration and data-intensive applications.
  • Optimize Model Performance:
    Fine-tune models for specific business logic and optimize LLM prompts to ensure accuracy, relevance, and safety for enterprise use cases.
  • Engineer Data Sources:
    Optimize and manage data sources and vector databases to ensure high-quality retrieval for context-aware AI systems.
  • Collaborate Globally:
    Work closely with US-based product owners and European delivery teams, requiring a proactive communication style and flexibility for early-morning syncs.
  • Ensure Quality:
    Champion best practices in AI observability, evaluation frameworks, and automated testing to ensure the reliability of enterprise-level deployments.
  • Consult with Clients:
    Partner with clients to develop new AI concepts and enhancements, translating business goals into technical AI roadmaps.

This role is designed for impact, and we believe our best work happens when we connect. While we operate a flexible model, we expect you to spend regular quality time on site (at our offices or a client location) for collaboration sessions, customer meetings, and internal workshops.

What Success Looks Like

  • Engineering Experience:
    Extensive professional experience in software engineering, with a significant focus on AI/ML implementation.
  • AI/ML Integration:
    Mastery of the Vertex AI ecosystem and proven experience integrating LLMs into production-grade applications.
  • Python Expertise:
    Mastery of the Python ecosystem, specifically libraries used for AI development and data manipulation.
  • GCP Proficiency:
    Hands-on experience with Google Cloud Platform services, specifically Vertex AI, BigQuery, and Cloud Functions.
  • DevOps Skills:
    Proficiency with Docker and CI/CD pipelines as they apply to MLOps workflows.
  • Communication:
    Fluent English skills with the ability to discuss technical trade-offs clearly with both peers and stakeholders.

Nice to Have

  • AI Frameworks:
    Deep experience with LangChain or LlamaIndex.
  • Data Engineering:
    Understanding of data pipelines and ETL processes to support AI model training and retrieval.
  • Advanced RAG:
    Experience with sophisticated retrieval techniques and vector search optimization.
  • Certifications:
    GCP Professional Machine Learning Engineer.

Our Benefits

We believe in supporting our team members both professionally and personally. Here's how we invest in you:

  • OSDE 210 for family group
  • Work from Home Allowance - (50 USD varies from company to company)
  • Birthday leave
  • 10 paid learning days per year
  • Bonusly 100 points per month to recognise colleagues

Diversity and Inclusion

At Beyond, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

Machine Learning Engineer

Automation & AI Analyst

PayJoy

Remote

Apply on the employer's site

Role description

About PayJoy
PayJoy, a Public Benefit Corporation, is a mission-first credit provider dedicated to helping under-served customers in emerging markets to achieve financial stability and success. Our patented technology for secured credit provides an on-ramp for new customers to enter the credit system. Through PayJoy’s point-of-sale financing and card offerings, customers gain access to a modern quality of life. PayJoy’s credit also allows our customers to seize opportunities as micro-entrepreneurs, and acts as insurance for tough times. Through our cutting-edge machine learning, data science, and anti-fraud AI, we have served over 18 million customers as of 2025 while achieving solid profitability for sustainable growth.

This role
The AI and Automation Analyst is responsible for designing, building, and deploying AI-powered solutions and automations that streamline processes, reduce manual work, and unlock new capabilities across PayJoy. Acting as the bridge between business needs and applied AI/automation technology, this role identifies opportunities, develops and integrates models, agents, and workflow automations, and ensures they run reliably and responsibly in production. Ultimately, the engineer turns repetitive tasks and complex problems into scalable, intelligent solutions that improve efficiency, decision-making, and customer experience.

Responsibilities

  • Identify, design, and build AI/ML and automation solutions (e.g., LLM-based applications, agents, RPA, and workflow automations) that address business needs and reduce manual effort.
  • Develop, integrate, and deploy models and automation workflows into production, connecting them with existing systems, data sources, and APIs.
  • Build and maintain prompt engineering, retrieval (RAG), and evaluation pipelines to ensure the quality, accuracy, and reliability of AI outputs.
  • Monitor, test, and improve deployed solutions tracking performance, cost, latency, and accuracy iterating based on feedback and metrics.
  • Partner with business and technical stakeholders to gather requirements, prioritize use cases, document solutions, and enable teams to adopt them.
  • Apply responsible-AI, security, and compliance best practices (data privacy, bias mitigation, access controls, PII protection), coordinating with Security/IT and Data as needed.

Qualifications
The following requirements support successful performance in the role. Attributes that could be considered discriminatory are intentionally avoided.

  • Software / tools: Proficiency in Python; experience with AI/ML frameworks and LLM APIs (e.g., OpenAI, Anthropic), plus automation/orchestration tools (e.g., n8n, Make/Zapier, Airflow) and workflow/RPA platforms. Familiarity with a major cloud (GCP/AWS/Azure), APIs/webhooks, and version control (Git).
  • Specific knowledge: Applied machine learning and generative-AI concepts (prompting, RAG, embeddings, fine-tuning), agent frameworks, integration patterns, and building and monitoring solutions in production. Experience in fintech or high-volume environments is valued.
  • Expected results: Reliable, well-documented AI and automation solutions in production that measurably reduce manual work, improve process efficiency, and deliver accurate, trustworthy outputs.
  • Skills: Strong analytical and problem-solving skills, curiosity and fast learning in a rapidly evolving field, attention to detail, clear communication of technical concepts, and collaboration across business and technical teams.
  • Desirable (not essential): Experience with vector databases, MLOps/LLMOps, and data engineering or integrations; the Zoho ecosystem or similar platforms; intermediate/advanced English (Portuguese a plus); and prior experience in a similar AI / Automation Engineer role.

Benefits

  • Benefits may vary by country
  • 100% Company Funded : Private Health Insurance for employee and immediate family
  • 20 days vacation, unlimited sick leave
  • $2,000 USD annual Co-working Travel perk
  • $2,000 USD annual Professional Development perk
  • Phone Finance, headphone benefit, home office equipment allowance and wellness perks

PayJoy is proud to be an Equal Employment Opportunity employer and we welcome and encourage people of all backgrounds. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

PayJoy Principles
Finance for the next billion * Ownership * Break Through Walls * Live Communication * Transparency & Directness * Focus on Scale * Work-Life Balance * Embrace Diversity * Speed * Active Listening

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This is a saved copy of a posting published elsewhere. Postings get taken down without notice — check the employer's site before applying. mentors.coach is not the hiring party.

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