AI Engineer
Build AI-powered products and features using LLMs, RAG, and modern AI frameworks.
AI Engineer
AI Engineers are the hottest new role in tech. They bridge the gap between foundation model capabilities and real product value. Unlike ML Engineers who build models from scratch, AI Engineers focus on integrating pre-trained LLMs into applications using techniques like RAG, fine-tuning, and agent architectures. The demand has exploded since 2023, and companies across every industry are hiring AI Engineers to build intelligent features into their products.
Fähigkeiten
LinkedIn-Optimierung
- 1
Share AI product case studies and demos
- 2
Post about LLM evaluation and best practices
- 3
Highlight projects using OpenAI, Anthropic, or open-source models
- 4
Connect with AI/ML leaders and founders
- 5
Demonstrate both research awareness and production skills
Lebenslauf
- 1
Quantify: "Built RAG system improving answer accuracy by 40%"
- 2
Detail LLM integration and fine-tuning experience
- 3
Show production AI features with user impact
- 4
Include evaluation frameworks and metrics
- 5
Highlight cost optimization for AI inference
Outreach-Strategie
- 1
Research how they use AI in their product
- 2
Share insights on LLM best practices for their use case
- 3
Build a small demo relevant to their product
- 4
Connect with AI team members
- 5
Demonstrate understanding of responsible AI practices
Interview-Vorbereitung
- 1
Prepare to discuss RAG architecture trade-offs
- 2
Review LLM evaluation metrics and hallucination mitigation
- 3
Show understanding of prompt engineering best practices
- 4
Have examples of production AI features you built
Ein Tag als AI Engineer
Prototype new AI features, evaluate LLM outputs, build and optimize RAG pipelines, fine-tune models for specific tasks, collaborate with product on AI UX, monitor AI feature quality and costs, stay current with rapidly evolving AI landscape.
Karrierepfad
Häufige Fehler
Only showing research without production AI experience
Not demonstrating evaluation and quality metrics
Ignoring cost optimization for LLM usage
Not showing full-stack product building skills
Focusing only on one model provider
Wichtige Tools
Häufig gestellte Fragen
Durchschnittsgehalt für eine/n AI Engineer?
Das Durchschnittsgehalt für eine/n AI Engineer in Europa liegt zwischen 65K - 130K EUR. Dies variiert je nach Erfahrung, Standort und Unternehmenstyp.
Kernkompetenzen für eine/n AI Engineer?
Wichtigste technische Fähigkeiten: LLMs, RAG, Prompt Engineering, Python, Vector Databases. Soft Skills wie Kommunikation und Teamarbeit sind ebenso wichtig.
Karrierepfad für eine/n AI Engineer?
Typischer Weg: Software Engineer > AI Engineer > Senior AI Engineer > Staff AI Engineer > Head of AI > VP of AI.
AI Engineer
Reiche dein Profil zur Prüfung ein. Ich studiere jede Bewerbung persönlich. Wenn du qualifizierst, kontaktiere ich dich mit einer detaillierten Analyse und deinem personalisierten Optimierungsplan.