Senior Developer
vor 14 Stunden
We are looking for a professional software developer with proven experience in building and shipping production applications as well as managing projects and customers
About Spryfox
AI is transforming industries, but most companies struggle to turn AI pilots into production systems that deliver real business value. That's where we come in.
Spryfox is a specialized AI engineering firm that creates custom AI models and solutions - making AI practical, impactful, and real. Since 2020, our team has been building production-grade AI solutions for global enterprises across legal, healthcare, manufacturing, and insurance sectors. We don't just consult; we roll up our sleeves, write code, and ship systems that solve actual business problems at scale.
Now, we're looking for exceptional developers to join us. Developers who don't just want to work on AI—but want to work with AI every day. Developers who thrive on customer impact, who can architect systems end-to-end, and who are excited to help shape the future of a growing company. If you're tired of corporate restrictions, endless meetings, and projects that never ship—if you want real ownership, direct customer relationships, and the freedom to use cutting-edge technology—keep reading.
The Role
We're looking for a Senior Solutions Engineer who will take full ownership of customer projects from conception through deployment. You'll be the trusted technical partner for our clients, independently managing engagements while building cutting-edge AI-powered applications that deliver measurable business impact.
This role combines deep technical execution with client relationship management. You'll architect and build production-grade software solutions—from web applications and data platforms to intelligent systems that integrate proprietary Spryfox models, orchestrate agentic workflows, and leverage LLMs—while helping our clients unlock new possibilities and growing long-term partnerships. You'll be writing code, deploying to the cloud, and sitting with customers to understand their challenges and craft solutions that work.
Unlike big corporations where AI access is often restricted, at Spryfox we actively encourage using the latest AI technologies in your daily work. We believe staying at the cutting edge isn't just about what we build for clients; it's about how we work. This approach dramatically boosts productivity and keeps our team at the forefront of AI innovation.
What You'll Do
Customer Engagement & Project Leadership
- Translate complex business challenges into pragmatic AI solutions
- Build trusted relationships with clients and identify opportunities for account growth
- Present technical solutions and demonstrations to both technical and non-technical stakeholders
- Occasional travel to client sites in Germany and potentially EU (as needed for project success)
Full-Stack AI Engineering & Deployment
- Design and build production-ready applications—from web platforms to intelligent systems that integrate AI models (including proprietary Spryfox models), orchestrate agentic pipelines, and implement RAG systems and multi-agent architectures
- Apply an AI-first mindset to software development, utilizing the latest AI tooling while maintaining code quality and security
- Write clean, maintainable, and well-tested code that solves real business problems
- Deploy and operationalize applications in cloud environments (AWS, Azure, GCP)
- Ensure solutions are scalable, secure, and production-ready, then monitor, maintain, and optimize them
Innovation & Growth
- Stay current with the latest developments in AI/ML and identify opportunities to apply them
- Contribute to Spryfox's technical thought leadership through blog posts, conference talks, or technical presentations
- Share knowledge internally and externally: mentor colleagues and represent Spryfox in the AI community
- Help grow client accounts by delivering exceptional value and identifying expansion opportunities
What You Bring
- Education & experience: Master's degree (or higher) in Computer Science, Software Engineering, or related field. 5+ years of professional software development experience with demonstrable expertise in building and shipping production applications
- Strong software development background: Proficiency in Python and modern development practices. You write clean, tested code and understand software architecture principles
- Technical stack familiarity: Experience with modern Python frameworks (FastAPI, Flask, Django) and AI/LLM frameworks (LangChain, LangGraph, or similar). Comfortable with Docker, containerization, and cloud-native development
- DevOps expertise: You can deploy, monitor, and maintain applications in the cloud (at least one of AWS, Azure, or GCP) and understand infrastructure-as-code, CI/CD pipelines, and production operations
- AI/ML application development: Hands-on experience building software applications that integrate AI/ML models. You know how to build agentic pipelines, implement RAG systems, and orchestrate complex AI workflows for production use cases
- AI-first development mindset: You actively leverage AI tools in your development workflow and think critically about how to integrate AI capabilities into software solutions
- Customer-facing experience: You've successfully managed client projects or worked directly with customers in a technical capacity
- Quality & security consciousness: You write secure code, consider edge cases, and build systems that can be trusted in production
- Autonomy & ownership: You can take a project from zero to production with minimal supervision
- Communication skills: You can explain complex technical concepts to non-technical audiences and collaborate effectively across teams
- Language proficiency: Fluent in English (German is a plus but not required)
What We Offer
Culture & Team
- Join an international team of passionate, brilliant developers and AI engineers
- Work with industry-leading clients on challenging, impactful problems
- "We make mistakes together, we learn together, we grow together, and we celebrate together"
- Variety as your daily routine: work across different business domains and industries
Flexibility & Growth
- Work from our offices in Munich or Darmstadt with remote work options
- Direct impact on company growth and direction
- Unrestricted access to the latest AI tools and technologies: we encourage experimentation and staying at the cutting edge
- Professional development budget and conference attendance
Real Impact
- Build solutions that drive measurable business outcomes for major enterprises
- Work with cutting-edge AI technology in production environments
- Shape the future of AI engineering at a growing company
How to Apply
In addition to your CV we would like you to add a short text answering these 3 questions. Please keep your total responses under 400 words.
- Describe a specific technical challenge you faced when deploying an AI/ML application to production and how you solved it.
- What is your preferred tech stack for building AI-powered applications?
- Spryfox emphasizes using AI tools in daily development work. What AI coding assistant or tool do you currently use, and how has it changed your workflow?
Not sure if you meet all the requirements? Apply anyway We value passion, curiosity, and the drive to learn just as much as checking every box. If you're excited about this role and believe you can contribute, we want to hear from you.
We look forward to hearing from you
Art der Stelle: Vollzeit, Festanstellung
Bewerbungsfrage(n):
- What are your salary expectations in euros/month?
- This is an on-site job in our office in either Darmstadt or Munich. Does this work for your current situation?
- What is the result of sum(bytearray("whatdoesthefoxsay?", "utf-8"))?
- Describe a specific technical challenge you faced when deploying an AI/ML application to production and how you solved it.
- What is your preferred tech stack for building AI-powered applications?
- Spryfox emphasizes using AI tools in daily development work. What AI coding assistant or tool do you currently use, and how has it changed your workflow?
Arbeitsort: Vor Ort
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