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Fullstack Engineer

Fullstack Engineer

Senior Machine Learning Engineer - Applied AI

SAP

Budapest

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Role description

We help the world run better
At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging – but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.

What You'll Build

  • Predictive models over real deal data. Design, train, and ship models that give Account Executives insight in-flow: forecasting, deal/quote scoring, classification, anomaly detection over large operational datasets. Feature engineering, model selection, training, and optimization are the core of the job, not a side task.
  • Grounded AI features for the quoting workflow. LLM-driven automation, decision support, and guardrails that reconcile against the platform's deterministic pricing/config engine. RAG, grounding/faithfulness validation, tool-calling over authoritative platform state.
  • Rigorous evaluation. Own the eval story for what you ship: offline metrics and online outcomes, regression suites over real quote records, faithfulness checks for the LLM features. You define what "good" means and prove it.
  • MLOps and the model lifecycle. CI/CD for models, model/data versioning, monitoring, drift detection, and retraining, so models stay healthy in production, not just at ship time.
  • Analytics that justify the work. SQL over millions of noisy quote/ticket/telemetry records to find where the real pains and opportunities are, and to build the training data behind the models.

What You Bring

  • Core ML: feature engineering, model selection, training, hyperparameter tuning, and evaluation, across classical ML (regression, classification, forecasting, ranking) and LLM-based systems
  • Python ML stack: pandas/NumPy, scikit-learn, PyTorch or TensorFlow, plus LLM / RAG frameworks
  • Rigorous model evaluation: offline metrics, online outcomes, regression suites, faithfulness checks
  • MLOps: CI/CD for ML, model and data versioning, monitoring, drift detection, retraining
  • Strong SQL and data wrangling on large, messy operational datasets
  • Observability tooling: Jenkins, GitHub Actions, Elasticsearch, Kibana
  • Cloud-native deployment and REST/OData integration; SAP BTP a plus
  • Domain exposure to CPQ, quoting, pricing, or sales/revenue processes a plus

Where you belong
You'll join the team building the systems SAP Account Executives rely on to quote, price, and close complex deals, and we're now bringing AI into those workflows. As a senior technical contributor you'll own the modeling work end-to-end, from training data to production model to the pipeline that keeps it healthy, and act as a technical reference point for less-experienced engineers and a peer to senior ones. Mentoring is a real expectation at this level, not an optional extra.

Bring out your best
SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

We win with inclusion
SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone – regardless of background – feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world.

SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: Careers@sap.com.

For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program, according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training.

Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements.

Successful candidates might be required to undergo a background verification with an external vendor.

AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process.

Please note that any violation of these guidelines may result in disqualification from the hiring process.

Requisition ID: 459423 | Work Area: Software-Design and Development | Expected Travel: 0 - 10% | Career Status: Professional | Employment Type: Regular Full Time | Additional Locations:

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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Fullstack Engineer

Senior Embedded Softwareentwickler Rust/C++ (m/w/d)

SPECTRUM AG

Remotesenior

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Role description

Senior Embedded Softwareentwickler Rust/C++ (m/w/d)

Standort: Berlin

Start: Ab September 2026

Unternehmensprofil

Das Unternehmen mit Hauptsitz in München ist ein global agierender Anbieter von Lösungen in den Bereichen Elektro-, Test- und Messtechnik sowie Kommunikationstechnologie. Das Unternehmen bietet ein breites Spektrum an Produkten, darunter Testgeräte für Elektronik, Funkkommunikation, Satellitenkommunikation und Netzwerke. Diese Produkte werden von Unternehmen in verschiedenen Branchen eingesetzt, darunter Luft- und Raumfahrt, Verteidigung, Telekommunikation, Automobilindustrie und Elektronik.

Aufgaben

  • Bring-up und Plattform-Integration: Inbetriebnahme neuer Hardware-Plattformen (Boot-Kette, Peripherie sowie SoC- und FPGA-Anbindung)

  • Treiber- und HAL-Entwicklung: Schnittstellen zu RF-Hardware, Peripherie sowie Mess- und Steuerungskomponenten in Rust und C/C++23

  • Implementierung von Anwendungssoftware: Fullstack bis zur Geräte-UI/API auf Linux-Embedded-Basis

  • HW/SW-Debugging: Fehleranalyse mit Logic Analyzer, JTAG und Oszilloskop in enger Zusammenarbeit mit der Hardware-Entwicklung

  • Umsetzung von FPGA/SoC-Schnittstellen: Kommunikation mit FPGA-Firmware, Register-Maps, DMA und Interrupt-Handling

  • Nutzung KI-gestützter Entwicklung: produktives Arbeiten mit AI-Coding-Tools sowie Teilen bewährter Verfahren im Team

Qualifikationen

  • Abgeschlossenes Studium der Elektrotechnik, Informatik oder einer vergleichbaren Fachrichtung

  • Mehrjährige Erfahrung (ab ca. 5 Jahre) in der Embedded-Fullstack-Entwicklung mit hardwarenahem Schwerpunkt

  • Solide Praxis in Rust und C/C++ (C++23)

  • Sicherer Umgang mit Linux (Yocto/Buildroot)

  • Erfahrung mit Bring-up, Treiber-/HAL-Entwicklung und Peripherie-Integration

  • Erfahrung mit FPGA-/SoC-/MCU-Schnittstellen (Register, DMA, Interrupts)

  • Sicheres HW/SW-Debugging mit Laborgeräten

  • Verständnis für saubere Softwareentwicklung: modulare Architektur, reproduzierbare Builds und nachvollziehbare Abhängigkeitsverwaltung

  • Aktive Nutzung von KI-Coding-Tools im Entwicklungsalltag

  • Sehr gute Deutsch- und Englischkenntnisse (das Team arbeitet überwiegend auf Deutsch, technische Dokumentation teils auf Englisch)

Zusätzliche Informationen & Benefits

  • 40 Stunden pro Woche

  • Bis zu 60 % Homeoffice möglich

  • 30 Tage Urlaub

  • Spannende Tätigkeiten in einem faszinierenden Hightech-Unternehmen und einer innovativen Branche

  • Umfassende Einarbeitung und ein offenes, internationales Arbeitsumfeld

Kontakt

Wir freuen uns auf deine Bewerbung. Bei Fragen kannst du uns gerne kontaktieren:

SPECTRUM AG | Schulze-Delitzsch-Str. 41 | 70565 Stuttgart.

ID #2160

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.

Fullstack Engineer

Développeuse / Développeur mobile - Stage

Capgemini

Remoteparttimelead

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Role description

Choisir Capgemini, c'est choisir une entreprise où vous serez en mesure de façonner votre carrière selon vos aspirations. Avec le soutien et l'inspiration d'une communauté d’experts dans le monde entier , vous pourrez réécrire votre futur . Rejoignez nous pour redéfinir les limites de ce qui est possible, contribuer à libérer la valeur de la technologie pour les plus grandes organisations et participer à la construction d’un monde plus durable et inclusif

Vos missions

Vous interviendrez sur les missions suivantes :

Contribuer à des projets de transformation digitale en environnement Agile.

Concevoir et développer des applications mobiles.

Rédiger la documentation technique associée.

Développer et intégrer des solutions mobiles natives, hybrides et cross-platform.

Définir l'ergonomie mobile selon les bonnes pratiques UX/UI.

Intervenir sur les technologies Swift, Kotlin, Xamarin, Ionic, Cordova et JEE.

Cette description n’est pas limitative. Elle peut tout à fait évoluer en fonction de votre expérience, des projets en cours et de vos attentes.

Votre profil

En M1/M2 en développement informatique

Connaissance sur IOS/Androoid

Capacité d’analyse, de synthèse et de présentation.

Aisance en anglais (B2 minimum)

3 Raisons de nous rejoindre

Avantages groupe :
bénéficiez d’un ensemble d’avantages tels que les primes de cooptation, tickets restaurant, ainsi que des activités sociales et culturelles variées proposées par le CSE. Des dispositifs d’accompagnement à la parentalité, comme le temps partiel à 90% pendant les vacances scolaires, sont également disponibles, ainsi que de nombreux autres avantages issus de nos accords collectifs.

Qualité de vie au travail :
profitez d’un équilibre entre vie professionnelle et personnelle, d’une possibilité de télétravailler (en France et à l’international), ainsi que des dispositifs de santé et bien-être (ligne d'écoute, plateforme dédiée...).

Environnement inclusif :
rejoignez des réseaux engagés comme Women@Capgemini, Parents@Capgemini, OUTfront ou CapAbility, et évoluez dans un cadre certifié EDGE+ et reconnu par le Bloomberg Gender Equality Index.

Happy Trainees :
notre engagement envers les jeunes talents est reconnu dans le classement HappyTrainees, preuve que chez nous, les stagiaires et alternants ne viennent pas juste apprendre… ils viennent s’épanouir !

Notre engagement et priorités

Le groupe Capgemini encourage une culture inclusive dans un cadre multiculturel et handi-accueillant. En nous rejoignant, vous intégrez un collectif qui valorise la diversité, développe le potentiel de ses talents, s’engage dans des initiatives solidaires avec ses partenaires, et se mobilise pour réduire son impact environnemental sur tous ses sites et auprès de ses clients.

A propos de Capgemini

Capgemini est un leader mondial, responsable et multiculturel, regroupant près de 350 000 personnes dans plus de 50 pays. Fort de 55 ans d’expérience, nous sommes un partenaire stratégique des entreprises pour la transformation de leurs activités en tirant profit de toute la puissance de la technologie et des innovations dans les domaines en perpétuelle évolution tels que le cloud, la data, l’Intelligence Artificielle, la connectivité, les logiciels, l’ingénierie digitale ou les plateformes.

Capgemini, partenaire de la transformation business et technologique de ses clients, les accompagne dans leur transition vers un monde plus digital et durable, tout en créant un impact positif pour la société. Le Groupe, responsable et multiculturel, rassemble 340 000 collaborateurs dans plus de 50 pays. Depuis plus de 55 ans, ses clients lui font confiance pour répondre à l'ensemble de leurs besoins grâce à la technologie. Capgemini propose des services et solutions de bout en bout, allant de la stratégie et du design jusqu'à l'ingénierie, en tirant parti de ses compétences de pointe en intelligence artificielle et IA générative, en cloud, et en data, ainsi que de son expertise sectorielle et de son écosystème de partenaires.

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.

Fullstack Engineer

Expert Adobe AEM Assets

Accenture France

Remote

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Role description

Imaginez, transformez et impactez le monde positivement : venez vivre au cœur du changement en tant que Marketing transformation Manager.

Vos principales missions :

Vous interviendrez sur différents types de mission, de l’élaboration d’une vision jusqu’au lancement des projets de transformation stratégiques de clients, en lien avec nos expertises déclinées :

  • Déployer et configurer Adobe Experience Manager (AEM) Assets dans un contexte multisite / multimarque.

  • Structurer et administrer le DAM : taxonomies, métadonnées, droits, cycles de vie, policies de gouvernance.

  • Intégrer le DAM avec les systèmes existants (CMS, PIM, Web, Mobile, Marketing automation…).

  • Concevoir et industrialiser les workflows de validation, de publication et de réutilisation des assets

  • Définir la gouvernance des assets et mettre en place des workflows de validation.

  • Garantir la performance, la sécurité et la scalabilité de la solution.

  • Participer à la conduite du changement, accompagner les équipes, former les utilisateurs et produire la documentation.

Contribuer en tant que référent aux meilleures pratiques Adobe, aux guidelines globales et à la roadmap

Vous construisez une carrière agile, grâce à la formation, aux certifications et aux feedbacks reçus pour chacune de vos réalisations. Nos équipes apprennent chaque jour avec les meilleurs experts en France et à l’international.

Vous évoluez dans un environnement de travail flexible qui vise à favoriser l’équilibre entre vie professionnelle et vie personnelle : le télétravail donne la possibilité d’adapter son rythme professionnel en fonction des actualités de l’équipe et du projet.

Nous vous proposons de vivre l’expérience du changement auprès de nos équipes, rejoignez Accenture.

Compétences requises :

  • Maîtrise experte d’Adobe AEM Assets : configuration avancée, administration, Asset Compute, Smart Tags, recherche, gestion large-scale.

  • Très bonne connaissance des API Adobe, connecteurs, intégrations REST / GraphQL, et des architectures headless.

  • Expérience démontrée sur des projets digitaux complexes : multisite, haute volumétrie, gouvernance à l’échelle.

  • Compréhension solide des environnements Cloud (Adobe Cloud Manager / DevOps).

  • Anglais professionnel (écrit/oral).

Soft Skills :

  • Forte capacité à collaborer avec des équipes hybrides : marketing, contenus, data, IT, agences.

  • Orientation client et sens du conseil, capacité à challenger et évangéliser les bonnes pratiques DAM.

  • Rigueur, autonomie, capacité à prioriser dans un environnement exigeant.

  • Excellent sens de la communication pour dialoguer aussi bien avec des profils métiers que techniques.

  • Esprit analytique, posture de problème-solver

A propos de nous :
Accenture, c'est une communauté de plus de 770 000 talents et une mission commune : réaliser la promesse technologique alliée à l’ingéniosité humaine.

Dans un monde en perpétuel changement, nous accélérons la transformation des plus grandes entreprises, de la stratégie à la réalisation des projets, à l’aide des technologies de demain et dynamisons leur croissance grâce à l'expertise multi-sectorielle de nos experts.

Nos recrutements sont fondés sur les compétences, sans distinction d’origine, d’âge, ou de genre et tous nos postes sont ouverts aux personnes en situation de handicap.

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.

Fullstack Engineer

Senior Product Engineer (DevTools & AI reliability, remote)

Checkly

Remotecontractsenior

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Role description

(Fully remote, async-first, DevTools SaaS, 32-40h/week, time zones: UTC-3 to UTC+3)
The best developers don't wait for a customer to tell them something's broken.

They catch it first, in the pull request, in staging, or in the checkout flow at 3am, before a single user notices. That instinct is Checkly's whole reason to exist. We give developers and their agents the tools to own reliability the way they own their code: end-to-end tests and synthetic monitoring defined as code, powered by OpenTelemetry and Playwright, versioned and reviewed like everything else they ship. From pull request to post-mortem, in one place.

Thousands of them, from modern AI companies like Mistral and resolve.ai to large engineering orgs like LinkedIn, Citi, and 1Password, build with us. In 2024 we raised $20M in Series B funding from Balderton, CRV and Accel.

Here's the thing about 2026: AI agents and coding assistants are shipping more software, faster, than any team could review by hand, and more of it is breaking in ways nobody has seen before. LLM-backed features fail probabilistically. Agents take actions no runbook anticipated. "Is my app healthy?" is becoming an unanswerable question for a whole generation of AI-native software. You will build reliability for this kind of software.

Our stack is AI (Codex, Claude, use what you like best), Vue.js, TypeScript, Node.js, Golang, Postgres, ClickHouse and AWS. We ship to prod all day, every day. We practice Agile (not scrum) and take pride in good documentation and good looking products.

We’re a remote-first startup that keeps things simple—low on meetings, high on productivity, and always shipping. If you love building cool things, working async, actually listening to and working with customers, and keeping it lean, you’ll fit right in!

What You'll Do
Build and ship with AI
You will actively use coding agents for full stack development, from exploring solutions and generating scaffolding to refactoring, test generation and debugging. At Checkly we push the limits of AI tools every day.

Talk to our users
You will talk directly to the developers, DevOps and Site Reliability Engineering (SRE) teams who are on-call, debugging incidents, or wiring Checkly into production pipelines. You will understand their workflows, pain points, and feedback. You use those conversations to validate ideas, course-correct early, and iterate on what you build. Customer calls and the weekly support rotation are part of the job, not a distraction from it.

Find the right problems to solve
In a world where the cost of building software trends to zero, the hard part is picking what to build. You will focus on real developer pain: flaky tests and flaky checks, unclear failures, noisy alerts. You will favour pragmatic solutions that ship quickly, validate assumptions in production, and compound into long-term reliability improvements.

Own your work end to end
From shaping the initial idea, through implementation and rollout, to watching how it behaves in production. You will take part in on-call and help support customers when things don’t work as expected.

What You Should Have

  • You have shipped features with AI, not just experimented with them. You have taken work from zero to shipped with a comparable stack, made implementation decisions that held up, and put things in front of real users.
  • You have built and run production software. You know the realities of operating software that people depend on: edge cases, incidents, regressions, and the need for observability and follow-up. You are not surprised when things break. You help fix them.
  • You can hold a product conversation, not just a technical one. You can look at a customer problem and reason about whether the thing we are about to build actually solves it.
  • You work well without an office around you. You are autonomous and self-motivated in a remote setup, and you still enjoy getting to know your colleagues and helping other people get unstuck.
  • FULLY remote role, within the UTC-3 to UTC+3 time zones. You need to be able to travel to (other) European countries without having to wait for a visa appointment, for our annual kickoff, a team meetup or a conference.

What You Will Hate About Us
We would rather tell you now than have you find out in month two.

  • We use AI for everything, and we mean everything. AI skepticism is not a thing here. If you have the slightest hesitation about working with AI every day, this is not the place for you, and that is completely fine.
  • We write more than we talk. We are async-first, so a lot of decisions happen in documents and threads, not meetings. If you do your best thinking out loud in a room full of people, you will miss it here.
  • We are lean, so you own the unglamorous parts too. There is no separate QA team, no ops layer to hand things off to, and you are on the support rotation and the on-call rotation like everyone else.
  • We ship constantly and change our minds. Priorities move as we learn from customers. If you need long, stable planning cycles, this will feel chaotic.
  • Customer signals come first, and most of the time they matter more than your instinct. We build what customers actually want, not the clever thing we dreamed up.

Benefits

  • Transparent salary because your salary shouldn't be dictated by how good a negotiator you are. (more info below)
  • Remote-first, flexible work hours, async-first (low meeting, high productivity) and transparent culture
  • Become part of a fast-growing, international, and remote team where your work matters, and your impact won't get lost in layers of bureaucracy.
  • Stock options
  • 27 days of paid vacation + your local public holidays
  • Paid sick leave & up to 14 weeks of paid parental leave
  • Co-working budget or home office setup
  • Annual company kickoffs
  • Employee & contractor options

Find out more here.

What We Pay
Fair, competitive, and transparent pay is very important for us. Therefore we work with a standardized salary calculator that includes several factors such as seniority level as well as location.

For this role, the range is

  • €88k - €105k for someone in a similar cost of market as UK, Germany etc, + stock options
  • €79k - €97k for someone in a similar cost of market as Spain, Poland, Ukraine etc, + stock options

Apply
If this sounds interesting, please apply! Studies by several different sources have shown that on average men will apply for a job if they meet 60% of the application requirements. Women, non-binary people and POC will seek to match a much higher percentage of requirements before applying. If you're not sure you're the right fit, apply anyway and let us know what you bring to the table. We'd love to hear from you!

We're all about being transparent and setting clear expectations. That's why we've put together our hiring playbook and open-sourced our employee handbook. There you'll find a sneak peek of who we are, how we work and what you can expect in our hiring process.

Compensation Range: €79K - €105K

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.

40 more openings in this category and country

Senior Machine Learning Engineer - Applied AISAP

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