About Airwallex Airwallex is the only unified payments and financial platform for global businesses. Powered by our unique combination of proprietary infrastructure and software, we empower over 200,000 businesses worldwide - including Brex, Rippling, Navan, Qantas, SHEIN and many more - with fully integrated solutions to manage everything from business accounts, payments, spend management and treasury, to embedded finance at a global scale. Proudly founded in Melbourne, we have a team of over 2,000 of the brightest and most innovative people in tech across 26 offices around the globe. Valued at US$8 billion and backed by world-leading investors including T. Rowe Price, Visa, Mastercard, Robinhood Ventures, Sequoia, Salesforce Ventures, DST Global, and Lone Pine Capital, Airwallex is leading the charge in building the global payments and financial platform of the future. If you're ready to do the most ambitious work of your career, join us. Attributes We Value We hire successful builders with founder-like energy who want real impact, accelerated learning, and true ownership. You bring strong role-related expertise and sharp thinking, and you're motivated by our mission and operating principles. You move fast with good judgment, dig deep with curiosity, and make decisions from first principles, balancing speed and rigor. You're humble and collaborative; turn zero-to-one ideas into real products, and you "get stuff done" end-to-end. You use AI to work smarter and solve problems faster. Here, you'll tackle complex, high-visibility problems with exceptional teammates and grow your career as we build the future of global banking. If that sounds like you, let's build what's next. About the team As the senior engineer in our new Generative AI team, you will own the end-to-end development of AI-driven solutions that redefine how we provide support and automation for both internal teams and external customers. You will shape the underlying architecture and APIs for advanced systems building cutting-edge AI solutions that enable Airwallex to scale. Your contributions will directly influence innovation, set best practices, and establish the foundation for our expanding AI portfolio. What you'll do If you are passionate about building AI solutions that directly impact customers, thrive on solving tough technical challenges, and embrace a product-focused mindset, we invite you to shape the future of Finance and AI with us. Responsibilities: - Build AI solutions to enable growth and drive internal efficiency across the business. - Design and implement robust API and system architecture for new AI applications. - Collaborate closely with a cross-functional team to bring these AI solutions to life. - Embrace the challenges of a fast-paced, high-growth environment with a focus on innovation. Who you are We're looking for people who meet the minimum qualifications for this role. The preferred qualifications are great to have, but are not mandatory. Minimum qualifications: - 5+ years in backend software development, with a focus on AI. - Experience building internal or customer-facing products with LLMs. - Proficiency in Python. - Expertise in building efficient, large-scale software systems. - Skill in writing high-quality, maintainable code. - Experience in design and development of large-scale distributed, high concurrency, high load, high availability systems; - Excellent communication and mentoring abilities. - A relevant degree in Computer Science, Mathematics or related fields. Preferred qualifications: - Familiarity with MLOps practices and deployment pipelines for AI-driven products. Applicant Safety Policy: Fraud and Third-Party Recruiters To protect you from recruitment scams, please be aware that Airwallex will not ask for bank details, sensitive ID numbers (i.e. passport), or any form of payment during the application or interview process. All official communication will come from an @airwallex.com email address. Please apply only through careers.airwallex.com or our official LinkedIn page. Airwallex does not accept unsolicited resumes from search firms/recruiters. Airwallex will not pay any fees to search firms/recruiters if a candidate is submitted by a search firm/recruiter unless an agreement has been entered into with respect to specific open position(s). Search firms/recruiters submitting resumes to Airwallex on an unsolicited basis shall be deemed to accept this condition, regardless of any other provision to the contrary. Equal opportunity Airwallex is proud to be an equal opportunity employer. We value diversity and anyone seeking employment at Airwallex is considered based on merit, qualifications, competence and talent. We don't regard color, religion, race, national origin, sexual orientation, ancestry, citizenship, sex, marital or family status, disability, gender, or any other legally protected status when making our hiring decisions. If you have a disability or special need that requires accommodation, please let us know.

Role Description Du willst generative KI nicht nur nutzen, sondern aktiv mitgestalten? Dann bist du bei uns genau richtig. Wir suchen eine/n AI Engineer (m/w/d), um den genAI-Bereich bei AOE weiter voranzutreiben! - AI-gestützte Lösungen entwickeln: Du entwickelst AI-Agenten, Conversational AI und Unternehmens-AI-Plattformen, die echten Mehrwert bieten. - Technologien & Frameworks auswählen: Du wählst die passenden KI-Technologien & Frameworks aus (z. B. LangChain, LlamaIndex, Hugging Face) und setzt sie zielgerichtet ein. - LLMs & generative Modelle integrieren: Du integrierst LLMs und generative Modelle in bestehende Anwendungen und optimierst ihre Performance. - RAG-Anwendungen entwickeln & optimieren: Du entwickelst RAG-Anwendungen und verbesserst deren Information-Retrieval-Prozesse für präzisere und effizientere Ergebnisse. - Workflows automatisieren & MLOps implementieren: Du automatisierst Workflows und implementierst MLOps-Prozesse, um Continuous Integration & Deployment für ML-Modelle zu ermöglichen. - Kunden beraten & PoCs entwickeln: Du berätst Kunden zu den Möglichkeiten von generativer KI, entwickelst Proof-of-Concepts und bringst innovative Ideen in neue Projekte ein. Qualifications - Erfahrung in Softwareentwicklung & generativer KI: Du hast umfassende Erfahrung in der Softwareentwicklung und davon bereits mehrere Projekte mit generativer KI umgesetzt. - Programmier- & Data-Processing-Skills: Du bist sicher im Umgang mit Programmiersprachen wie Python, R oder Java sowie Data-Processing-Tools wie Pandas, Spark oder SQL. - Kenntnisse in Retrieval-Technologien & AI-Plattformen: Du kennst dich mit Retrieval-Technologien (z. B. Lucene, GraphDB, Vector DB) und AI-Plattformen bestens aus. - Machine Learning & NLP-Verständnis: Du verstehst Machine Learning, Deep Learning und NLP und hast fundierte Kenntnisse zu LLMs. - Mitgestaltung & Zusammenarbeit: Du treibst AI-Lösungen aktiv voran und arbeitest mit dem AI-Team an eigenen Projekten. Zudem unterstützt ihr andere Teams bei der Entwicklung und Implementierung von AI-Lösungen. - Kommunikationsstärke in Deutsch & Englisch: Du sprichst fließend Deutsch & Englisch und kannst deine Ideen klar und verständlich kommunizieren. Benefits - Flexibles und selbstorganisiertes Arbeiten in agiler Unternehmenskultur ohne Hierarchieebenen. Remote oder im Office. - Attraktive Zusatzleistungen wie Jobrad, vergünstigtes Deutschland-Ticket, Sabbatical, Arbeiten im Ausland, betriebliche Altersvorsorge, umfangreiches Health-Package für deine mentale und körperliche Gesundheit (OpenUp, EGYM Wellpass, Plus Card). - Entspanntes, individuell gestaltbares Arbeitsumfeld mit modernster Hard- und Software. - 2.000€ persönliches Weiterbildungsbudget sowie AOE Academy. - Summerparty, Teamevents, After Work, Sportaktivitäten wie Yoga, Fußball, Volleyball. - Mitten in der City, kostenlose Parkplätze, Thaimassage, eigener Koch, Playarea (Kicker, Tischtennis, Billard), Obst, Snacks, Getränke.

• Build and maintain backend services using Python and Node.js • Develop and integrate APIs • Support the development and maintenance of workflows using orchestration tools • Assist in improving system reliability through error handling • Troubleshoot issues in production environments • Collaborate with cross-functional teams and participate in code reviews

• Implement, train, and fine-tune large-scale language models • Evaluate and select NLP frameworks and tools • Define and implement tokenization strategies for different models • Develop optimized prompts for LLMs • Build text processing pipelines