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Engineering Manager - Edge AI(m/w/x)
Leading Edge AI team execution, migrating AI assistant to autonomous setup. Hands-on ML/AI engineering background required. Virtual stock options, €2000 L&D budget.
Requirements
- Hands-on ML/AI engineering or data science background
- Experience leading production AI product teams
- Technical knowledge of LLM-powered system design
- Experience with RAG, embeddings, tool/function calling
- Experience with orchestration frameworks like LangChain or LlamaIndex
- Proficiency in Python
- Proficiency in PyTorch and HuggingFace Transformers
- Solid LLMOps/MLOps and CI/CD practices
- Track record of launching AI features end-to-end in production
- Experience from problem framing to measurable delivery
- Ability to lead with clarity, empathy, and accountability
- Experience building inclusive, high-performing teams
- Ability to navigate ambiguity and manage stakeholders
- Willingness to learn and develop career
Tasks
- Lead daily Edge AI team execution
- Translate long-term vision into sprint roadmaps
- Set measurable delivery milestones
- Migrate AI assistant to autonomous setup
- Expand AI support across merchant channels
- Set technical direction for LLM systems
- Make tradeoffs in quality, latency, and cost
- Define performance metrics
- Track delivery velocity
- Use insights to improve team health
- Hire and mentor engineers and ML specialists
- Develop interns
- Create a growth-oriented team environment
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- HuggingFace Transformers
- LangChain
- LlamaIndex
Benefits
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave
- Special leave days
Other Benefits
- Public holidays
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
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Engineering Manager - Edge AI(m/w/x)
Leading Edge AI team execution, migrating AI assistant to autonomous setup. Hands-on ML/AI engineering background required. Virtual stock options, €2000 L&D budget.
Requirements
- Hands-on ML/AI engineering or data science background
- Experience leading production AI product teams
- Technical knowledge of LLM-powered system design
- Experience with RAG, embeddings, tool/function calling
- Experience with orchestration frameworks like LangChain or LlamaIndex
- Proficiency in Python
- Proficiency in PyTorch and HuggingFace Transformers
- Solid LLMOps/MLOps and CI/CD practices
- Track record of launching AI features end-to-end in production
- Experience from problem framing to measurable delivery
- Ability to lead with clarity, empathy, and accountability
- Experience building inclusive, high-performing teams
- Ability to navigate ambiguity and manage stakeholders
- Willingness to learn and develop career
Tasks
- Lead daily Edge AI team execution
- Translate long-term vision into sprint roadmaps
- Set measurable delivery milestones
- Migrate AI assistant to autonomous setup
- Expand AI support across merchant channels
- Set technical direction for LLM systems
- Make tradeoffs in quality, latency, and cost
- Define performance metrics
- Track delivery velocity
- Use insights to improve team health
- Hire and mentor engineers and ML specialists
- Develop interns
- Create a growth-oriented team environment
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PyTorch
- HuggingFace Transformers
- LangChain
- LlamaIndex
Benefits
Competitive Pay
- Virtual stock option program
Learning & Development
- Annual L&D budget of €2000
Retirement Plans
- Corporate pension scheme with 20% match
More Vacation Days
- 28 days paid leave
- Special leave days
Other Benefits
- Public holidays
Healthcare & Fitness
- Urban Sports Club subsidy
Childcare
- Kita placement assistance
Free or Subsidized Food
- Subsidised office lunches
Workation & Sabbatical
- 1-month sabbatical after 3 years
Bonuses & Incentives
- Referral bonus
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
SumUp
Industry
FinancialServices
Description
The company is a leading global fintech company committed to leveling the playing field for small businesses.
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