高级全栈工程师 - AI
Senior Full Stack Engineer - AI
高级全栈工程师 - 人工智能
THE ROLE
你将加入一家正在构建资助资金数字基础设施的公司，帮助组织减少在资助逻辑、表单和管理上花费的时间，更多地专注于重要的项目和影响。
该平台整合了18000多个资助计划的研究内容，提供AI支持的分析和申请起草、专家评审以及持续的资助管理。AI处理可扩展的部分，而人类则在关键领域带来经验和判断。
作为高级全栈工程师，你将全程参与AntragPlus的开发，负责后端、前端、基础设施和平台核心的AI流程。
你是公司首批工程团队成员之一，对技术决策、工程标准、架构和产品本身有重要话语权。你将从与资助团队的初步讨论开始，到产品上线，全程负责问题的解决，而不是仅仅根据预定义的工单工作。
POSITION: 高级全栈工程师 - 人工智能
寻找一位高度自主的高级全栈工程师，具有在整条技术栈上构建和交付生产软件的丰富经验，并具备在生产环境中开发和运营AI/LLM驱动应用的实际经验。
理想的候选人兼具扎实的技术深度和高责任感的思维模式，以用户体验为先的方法，以及在许多事情尚未完全定义的环境中独立识别和解决问题的能力。
RESPONSIBILITIES
PRODUCT DEVELOPMENT & FULL-STACK ENGINEERING
- 独立构建和交付端到端的产品功能，包括用户界面。
- 在前端、后端、基础设施和AI流程中自信地工作。
- 通过与资助团队紧密合作，从真实的用户问题出发进行开发，而不是仅仅实现预定义的工单。
- 以用户体验为先的思维模式开发界面，确保产品真正适用于资助申请者。
- 从初步发现到产品部署全程负责问题的解决。
- 通过产品改进、自动化和更好的工作流程，缩短从新项目启动到完成提交申请的时间。
AI DEVELOPMENT & EVALUATION
- 通过提示工程、上下文管理和协作开发，提升平台的AI能力。
查看英文原文
SENIOR FULL STACK ENGINEER - AI
Check out The Global Talent Co.’s talent network: https://www.globaltalent.co/network
THE ROLE
You will join the company, which is building the digital infrastructure for grant funding, helping organizations spend less time navigating funding logic, forms, and administration and more time on the projects and impact that matter.
The platform brings together research across 18,000+ funding programmes, AI-supported analysis and application drafting, expert review, and ongoing grant management. AI handles what can scale, while people bring experience and judgement where it matters.
As a Senior Full Stack Engineer, you will work end-to-end on AntragPlus, contributing across the backend, frontend, infrastructure, and AI pipeline at the core of the platform.
You will be one of the company's first engineering hires, with significant ownership over technical decisions, engineering standards, architecture, and the product itself. You will own problems from the initial conversation with the grant team through to production, rather than simply working from predefined tickets.
POSITION: SENIOR FULL STACK ENGINEER - AI
Seeking a highly autonomous Senior Full Stack Engineer with strong experience building and shipping production software across the stack, combined with hands-on experience developing and operating AI/LLM-powered applications in production.
The ideal candidate combines strong technical depth with a high-ownership mindset, a usability-first approach, and the ability to identify and solve problems independently in an environment where not everything is fully defined yet.
RESPONSIBILITIES
PRODUCT DEVELOPMENT & FULL-STACK ENGINEERING
- Build and ship end-to-end product features independently, including the user interface.
- Work confidently across the frontend, backend, infrastructure, and AI pipeline.
- Build from real user problems by working closely with the grant team, rather than simply implementing predefined tickets.
- Develop interfaces with a usability-first mindset, ensuring the product genuinely works for grant writers.
- Take ownership of problems from initial discovery through to production deployment.
- Contribute to reducing the time from starting a new project to a finished, submitted application through product improvements, automation, and better workflows.
AI DEVELOPMENT & EVALUATION
- Advance the platform's AI capabilities through prompt engineering, context management, cost control, and multi-provider AI setups.
- Work with AI providers including AWS Bedrock, Anthropic, and OpenAI.
- Build and operate AI pipelines in production, going beyond simply calling an API.
- Develop and own the company's AI evaluation practice, including prompt quality, model selection, and regression detection.
- Work with AI agents and tool-calling workflows where applicable.
- Use AI-native development tools such as Claude Code or Cursor as part of your engineering workflow.
PRODUCTION, INFRASTRUCTURE & RELIABILITY
- Operate, monitor, and debug the live production environment.
- Work with tools including Sentry, CloudWatch, and Postgres performance monitoring.
- Contribute to infrastructure running on AWS, including ECS and RDS.
- Maintain and improve production reliability and performance.
- Identify and resolve technical issues with a strong debugging instinct in live systems.
ENGINEERING ARCHITECTURE & TECHNICAL LEADERSHIP
- Shape the company's technical architecture, code quality, engineering standards, and technical roadmap.
- Help establish how the engineering team works and the technical standards it follows.
- Identify better technical solutions proactively rather than waiting for predefined tasks.
- Take complete ownership of technical problems and drive them through to resolution.
- Contribute to building scalable technical foundations as one of the company's first engineering hires.
REQUIREMENTS
- Several years of professional experience with TypeScript and Node.js.
- Strong depth in Postgres, including JSONB, query performance, and migrations.
- Strong full-stack capabilities, with experience across:
- Next.js 15 / React Query
- Express / BullMQ
- AWS (ECS, RDS)
- Terraform
- Hands-on experience building and operating AI pipelines in production, beyond simply integrating an AI API.
- Experience working with LLMs and AI-powered applications.
- Strong understanding of prompt engineering, context management, model selection, and AI evaluation.
- Strong debugging skills in live production systems.
- High level of autonomy and ownership, with the ability to identify problems, develop solutions, and close the loop without hand-holding.
- Usability-first mindset, with the ability to build interfaces that genuinely work for end users.
- Comfortable working in an environment where not everything is fully defined and where engineers are expected to proactively shape solutions.
- AI-native approach to software development, with familiarity using tools such as Claude Code or Cursor.
NICE TO HAVE
- German language skills at B1 level or above. The customers and product are German-speaking, while the team works bilingually.
- Experience with AI agents and tool-calling workflows in production.
WHAT WE OFFER
- Fully remote work is possible.
- Competitive compensation and participation in company success.
- Real ownership as one of the company's first engineering hires, with the opportunity to shape the product, technology, and engineering standards.
- €2,000 annual professional development budget.
- Opportunity to work on a scalable SaaS product with clear market demand and genuine social impact.
- Short decision paths and direct collaboration with the leadership team.
- Access to exclusive funding databases and modern tools.
- Team events and optional workations.
OUR CULTURE
Customer First · Complete Ownership · Ship, Learn, Repeat · One Team