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Senior AI Engineer – AI Booster Team(m/w/x)
Designing and shipping LLM-powered features from ideation to live. 3+ years software engineering, 1+ year LLM systems building required. Free organic breakfast, learning and development budget.
Requirements
- 3+ years professional software engineering experience
- 1+ years hands-on LLM-centric systems building
- Knowledge of LLM workflows, RAG design, embeddings, vector databases, prompt strategies, and multi-agent patterns
- Experience with model evaluation, selection, performance optimization, and cost-effective deployment
- Proficiency in Python (core)
- Familiarity with modern engineering stack (FastAPI, Node.js/TypeScript, React)
- Comfortable with ML/AI infrastructure & orchestration
- High personal agency
- Stay on top of latest GenAI research and tooling
- Contribute to team knowledge
- Push for pragmatic outcomes with bias for action
- Evidence of exceptional achievement
- Motivation and growth
Tasks
- Collaborate with cross-functional teams to design LLM-powered features
- Prototype LLM-powered features
- Ship LLM-powered features from ideation to live
- Architect advanced LLM workflows
- Build advanced LLM workflows
- Architect agentic systems
- Build agentic systems
- Orchestrate multi-agent systems
- Implement tool use in agentic systems
- Develop execution flows for agentic systems
- Select appropriate models for tasks
- Evaluate appropriate models for tasks
- Select appropriate inference infrastructure
- Evaluate appropriate inference infrastructure
- Balance cost, latency, quality, and safety
- Develop reusable AI building blocks
- Develop sophisticated RAG pipelines
- Develop evaluation frameworks
- Develop model adapters
- Champion automated evaluations
- Champion human-in-the-loop checks
- Champion continuous feedback loops
- Serve as a technical mentor
- Run office hours for GenAI skills
- Run reviews for GenAI skills
- Run workshops for GenAI skills
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLM
- generative AI
- Python
- FastAPI
- Node.js
- TypeScript
- React
- ML/AI infrastructure
- cloud services
- containerization
- CI/CD
- monitoring
Benefits
Learning & Development
- Idealo Learning Hub
- eLearning offerings
- Learning and development budget
Mentorship & Coaching
- Coaching and mediation
Free or Subsidized Food
- Free organic breakfast
- Excellent free lunch
Snacks & Drinks
- Free coffee, lemonades, and after-work beer
Team Events
- Foosball
- Team events
- Company events
- Organized connection moments
Startup Environment
- Rooftop terrace
Mental Health Support
- Free counseling and support
Company Bike
- Job bike
Public Transport Subsidies
- Deutschlandticket
Healthcare & Fitness
- Fitness and sports options
- Urban Sports membership
- Gympass membership
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Senior AI Engineer – AI Booster Team(m/w/x)
Designing and shipping LLM-powered features from ideation to live. 3+ years software engineering, 1+ year LLM systems building required. Free organic breakfast, learning and development budget.
Requirements
- 3+ years professional software engineering experience
- 1+ years hands-on LLM-centric systems building
- Knowledge of LLM workflows, RAG design, embeddings, vector databases, prompt strategies, and multi-agent patterns
- Experience with model evaluation, selection, performance optimization, and cost-effective deployment
- Proficiency in Python (core)
- Familiarity with modern engineering stack (FastAPI, Node.js/TypeScript, React)
- Comfortable with ML/AI infrastructure & orchestration
- High personal agency
- Stay on top of latest GenAI research and tooling
- Contribute to team knowledge
- Push for pragmatic outcomes with bias for action
- Evidence of exceptional achievement
- Motivation and growth
Tasks
- Collaborate with cross-functional teams to design LLM-powered features
- Prototype LLM-powered features
- Ship LLM-powered features from ideation to live
- Architect advanced LLM workflows
- Build advanced LLM workflows
- Architect agentic systems
- Build agentic systems
- Orchestrate multi-agent systems
- Implement tool use in agentic systems
- Develop execution flows for agentic systems
- Select appropriate models for tasks
- Evaluate appropriate models for tasks
- Select appropriate inference infrastructure
- Evaluate appropriate inference infrastructure
- Balance cost, latency, quality, and safety
- Develop reusable AI building blocks
- Develop sophisticated RAG pipelines
- Develop evaluation frameworks
- Develop model adapters
- Champion automated evaluations
- Champion human-in-the-loop checks
- Champion continuous feedback loops
- Serve as a technical mentor
- Run office hours for GenAI skills
- Run reviews for GenAI skills
- Run workshops for GenAI skills
Work Experience
- 3 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLM
- generative AI
- Python
- FastAPI
- Node.js
- TypeScript
- React
- ML/AI infrastructure
- cloud services
- containerization
- CI/CD
- monitoring
Benefits
Learning & Development
- Idealo Learning Hub
- eLearning offerings
- Learning and development budget
Mentorship & Coaching
- Coaching and mediation
Free or Subsidized Food
- Free organic breakfast
- Excellent free lunch
Snacks & Drinks
- Free coffee, lemonades, and after-work beer
Team Events
- Foosball
- Team events
- Company events
- Organized connection moments
Startup Environment
- Rooftop terrace
Mental Health Support
- Free counseling and support
Company Bike
- Job bike
Public Transport Subsidies
- Deutschlandticket
Healthcare & Fitness
- Fitness and sports options
- Urban Sports membership
- Gympass membership
About the Company
idealo internet GmbH
Industry
IT
Description
Das Unternehmen hilft Nutzern, bessere Kaufentscheidungen zu treffen und konzentriert sich auf agiles Arbeiten und Nachhaltigkeit.
Not a perfect match?
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