AI Engineer
Tasks
- Build multimodal retrieval systems
- Deploy AI products reliably
- Design and build AI-powered features
- Design human-in-the-loop workflows
- Determine supervised and unsupervised steps
- Develop LLM-based solutions
- Develop evaluation for AI systems
- Guide concepts from idea to production
- Implement document analysis and advanced search
- Implement security and data protection
- Integrate with clients and gather requirements
- Present learnings to AI practice
Perks/Benefits
- Group insurance
- Hospitalisation
- Learning and development budget
- Meal vouchers
- Mobility budget
- Phone subscription
- Team events
Skills/Tech-stack
Advanced search | Agents | Automated testing | CI/CD | Chunking | Context engineering | Data Protection | Document analysis | Embeddings | Infrastructure as Code | Injection Defense | Language Models | Large Language Models | Multimodal Models | OWASP | Prompt engineering | Prompt injection | Prompt injection defense | Reranking | Retrieval-Augmented Generation | Sandboxing | Secure Software | Secure Software Development | Software development | Tool use | Vector Databases | “as-code”
Education
Roles
AI | AI Engineer | Engineer
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