AI Engineer - Agentic Workflows
Tasks
- Define evaluation metrics and datasets
- Design agentic workflows
- Design data schemas and validation layers
- Develop reusable agent tools with interfaces tests documentation
- Implement generative AI systems in production
- Implement observability, logging, monitoring
- Integrate multi LLM systems
- Mentor junior engineers and lead technical initiatives
- Optimize latency, cost, and quality
- Support incident response and reliability improvements
Perks/Benefits
- 3rd pension pillar contribution
- Additional vacation
- Baby bonus
- Concentrated work week
- Electronic cafeteria
- Extensive onboarding program
- Extra days off
- Home office
- Home office occasional
- Life insurance
- Massages in the office
- Maternity leave benefits
- Meal contribution
- Online education portals
- Personal days off
- Professional certifications
- Risk life insurance
- Sabbatical leave
- Wedding bonus
- Workation
- Years of service bonus
Skills/Tech-stack
API Integration | Asynchronous programming | Autogen | Concurrent programming | Cost Optimization | CrewAI | Data Validation | Data schemas | Evaluation Methodologies | Fine Tuning | Generative AI | Incident Response | LLM orchestration | Langchain | Langgraph | Language Models | Large Language Models | Logging | Model selection | Monitoring | Observability | Prompt Optimization | Prompt engineering | Python | Quality metrics | RAG | Token Management | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
Regions
Countries
States
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