Senior AI Engineer
Tasks
- Champion best practices for prompt engineering and model evaluation
- Collaborate with product and data teams to define agent personas
- Deploy AI systems in production
- Design multi-agent AI systems
- Develop generative AI features for marketing challenges
- Ensure data security and model explainability
- Implement agentic workflows with orchestration frameworks
- Mitigate prompt injection and tool execution risks
- Monitor agent performance metrics
- Optimize token efficiency and tool calling accuracy
- Support junior engineers
Perks/Benefits
- AI subscription paid
- Annual Company Conference
- Hybrid working
- Paid training programme
- Private health care
- Recognition and reward scheme
- Team lunches
- Travel insurance
Skills/Tech-stack
AI Ops | AI Platform | AI Platform Pipelines | API Integration | Agent systems | Agentic Workflows | Apache Airflow | Autogen | BigQuery ML | CCPA | CI/CD | Cloud platform | CrewAI | Dataflow | Dataproc | Foundation Models | GDPR | Generative AI | Google Cloud | Google Cloud Platform | Kubernetes | Langgraph | MLOps | Model Explainability | Model versioning | Monitoring | Multi-Agent | Multi-Agent Systems | Platform pipelines | Prompt engineering | Prompt injection | Prompt injection mitigation | Reinforcement Learning | Supervised Learning | Unsupervised Learning | Vertex AI
Education
N/A
Roles
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