AI Engineer (m/f/d)
Tasks
- Build agentic workflows end to end
- Collaborate with customers and stakeholders on AI decisions
- Create ground-truth datasets
- Debug and refactor codebase
- Develop eval driven development frameworks
- Identify trade offs across time cost UX and quality
- Implement LLM observability tracing
- Integrate agent architectures with dashboards reporting valuations and planning
- Monitor hallucinations and reliability
- Optimize context engineering for unstructured data
- Review code and ensure quality
Perks/Benefits
- Company and team events
- Hybrid work
- L and D days
- Learning and development budget
- Vacation days
- Wellness allowance
Skills/Tech-stack
Agent architectures | Anomaly Detection | Context engineering | Context windows | Data Engineering | Evaluation Frameworks | Ground Truth | Ground truth datasets | LLM Observability | Language Models | Large Language Models | Monitoring | Prompt engineering | Python | Tracing | TypeScript | Unstructured Data
Education
N/A
Roles
AI | AI Engineer | Engineer
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