Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
€60к-84к/год
€40к€56кмедиана€67к
По похожим ролям (8) ~ €56к/год
Прикинули из €5к-7к/мес × 12
На СНГ рынке: $2.9к/мес ($1.7к - $4к)
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У роли понятный сквозной охват, современные задачи в AI и разработке, а также сильный пакет льгот в устойчивом финансовом институте; работа в регулируемой сфере требует особого внимания к качеству решений.
AI Software Engineer (Python/Angular/LLM): Building production-grade data products, AI solutions, models, dashboards, and client-facing applications for compliance, risk management, internal control, and HR with an accent on reliable, maintainable software engineering. Focus on integrating front-end applications, back-end services, RESTful APIs, Azure infrastructure, and LLM capabilities while moving prototypes into scalable products.
Location: Amsterdam, Netherlands; hybrid work with office attendance twice a week and remote work on other days
Salary: €5,000–€7,000 gross per month
Company
hirify.global is a Dutch financial institution with nearly 300 years of experience and approximately 2,300 colleagues, combining a start-up-like innovation environment with the benefits of a large company.
What you will do
Build and maintain data products, AI solutions, models, and dashboards that support decision-making across Compliance, Non-financial Risk, Financial Risk, Internal Control, and HR.
Develop end-to-end, client-facing applications and move proof-of-concepts into reliable, production-grade solutions.
Build responsive front-end interfaces and integrate them with back-end services, RESTful APIs, and external systems.
Apply LLM APIs and concepts such as prompting, tool calling, structured outputs, and evaluation to practical products.
Improve code quality, scalability, maintainability, automated delivery, and the software engineering practices of data engineers and data scientists.
Collaborate in a multidisciplinary Scrum team, coach colleagues, share best practices, and help deliver robust solutions suitable for regulatory scrutiny.
Requirements
3–5 years of experience building applications, including strong hands-on experience with Python and TypeScript.
Strong experience with Angular, plus working knowledge of JavaScript, TypeScript, RxJS, HTML5, and CSS.
Experience with Azure and Azure DevOps, including automated build and release pipelines.
Strong experience developing and integrating RESTful APIs and connecting front-end applications, back-end services, and external systems.
Experience building applications or prototypes with LLM APIs such as OpenAI, Anthropic, or Gemini.
Familiarity with prompting, tool calling, structured outputs, and LLM evaluation.
Ability to build responsive, user-friendly interfaces for data-rich applications and write clean, maintainable code for real-life environments.
Good command of spoken and written English is required.
Curiosity, self-motivation, willingness to learn, and comfort experimenting, asking questions, sharing ideas, and combining front-end, back-end, and applied AI skills.
Nice to have
Experience with .NET, particularly hands-on experience with .NET APIs.
Experience with Databricks.
Culture & Benefits
Hybrid working model: flexible hours, office attendance for team meetings or brainstorming twice a week, and work from home on other days.
Flexible budget equal to 19.47% of gross salary, including a 13th month, 8% holiday allowance, and seven extra statutory leave days.
MacBook or Dell laptop, iPhone, pension scheme, training opportunities, and conference attendance.
Up to two months of working remotely from abroad per year.
Technical knowledge-sharing sessions, yearly hackathons, and monthly department gatherings in an inclusive and collaborative environment.
Hiring process
Submit an application; a recruiter may conduct a phone screening, and application status is normally updated within one week.
First interview online or in person, followed by second and potentially third interviews focused on skills, responsibilities, and team operation.
An assignment or assessment may be included; successful candidates receive an offer and complete the requested information before signing the contract.
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