Senior AI Engineer 🇪🇺
Tasks
- Build agentic loops in production
- Collaborate with product teams and domain experts
- Conduct error analysis and quality improvement
- Develop agent behavior safety and guardrails
- Expose tools through MCP
- Implement context and memory engineering
- Monitor AI landscape for emerging trends
- Orchestrate LLM calls and tool calling
- Perform evaluation with golden datasets
- Run LLM as judge and regression tracking
Perks/Benefits
- Company equipment provided
- Company shares
- Coworking allowance
- Fitness membership access
- Home office setup budget
- Language learning access
- Paid vacation
- Wellness activities access
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic Systems | Anti Prompt Injection | Audit Logging | B testing | Context Construction | Cost Optimization | Evaluation | Guardrails | Kubernetes | LLM orchestration | Language Models | Large Language Models | Latency optimization | MCP | Model Serving | Observability | Prompt engineering | Prompt injection | Python | RAG | RBAC | Retrieval-Augmented Generation | Tool-Calling | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
States
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