ai engineer for intelligent business systems
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ai engineer for intelligent business systems
Anzeige auf Englisch
ArbeitsortBerlin
Gehalt65.000–90.000 € brutto/Jahr
HomeofficeKeine Angabe
Описание:
A fast-growing technology company builds and deploys intelligent AI systems to solve complex business problems.
Задачи:
- Build and deploy AI agents and LLM-powered applications
- Develop reliable AI systems using modern frameworks and techniques
- Integrate AI solutions with existing software, APIs, and cloud services
- Improve AI systems in performance, cost, scalability, and reliability
- Own projects end-to-end, from the initial idea through to production
- Test, evaluate, and continuously improve AI solutions
- Work closely with product and engineering teams to solve real-world problems
Требования:
- 5+ Years of experience across software engineering and AI
- Strong software engineering fundamentals and hands-on AI experience
- Experience building and deploying applications using LLMs
- Strong understanding of LLM APIs, prompt engineering, structured outputs, and AI agent frameworks
- Strong Python skills and experience building production-quality software
- Experience with REST APIs, cloud services, and integrations
- Familiarity with AI testing, evaluation, and quality processes
- Experience using AI-assisted development tools
- Comfortable working in an early-stage or fast-moving environment
- Able to work independently, manage ambiguity, and take ownership
- Practical mindset focused on building and shipping
- Будет плюсом: a software engineering background followed by a move into AI, experience building AI products in production rather than purely experimental projects, experience with AI agents, LLM applications, or automation, startup or scale-up experience
Условия:
- Competitive, above-market compensation
- 28 Days' annual leave plus additional holiday benefits
- Fitness/wellness or transport benefits
- Laptop of choice
- Pension scheme
- Modern Berlin office
- Team lunches and regular social events
The hiring process includes an initial conversation, technical deep-dive, practical coding assessment, and final leadership discussion; it may be completed within two weeks
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