Senior Applied AI Engineer
Tasks
- Build ML and AI serving pipelines
- Deploy across cloud platforms
- Design and build agentic system core
- Develop LLM applications in production
- Develop Python SDK and web front ends
- Implement prompting tool use and retrieval
- Monitor reliability latency cost and security
- Orchestrate and evaluate multiple models
- Partner with investment professionals to drive adoption
- Use AI coding agents for prototyping to production
Perks/Benefits
- Career development
- Group insurance plans
- Hybrid work model
- Paid family leave
- Pension plans
- Summer Fridays off
- Vacation days
- Virtual Healthcare Services
- Wellness programs
Skills/Tech-stack
AKS | Agentic Systems | Anthropic Claude | Anthropic Claude API | Azure | CI/CD | Claude API | Containers | Databricks | Fine Tuning | Gemini API | Google Cloud | Google Gemini | Google Gemini API | Gradio | Information Retrieval | JavaScript | Kubernetes | LLM | LLM Evaluation | LLM Observability | MLOps | Machine Learning | Model Fine-tuning | OpenAI API | Prompt engineering | Python | React | Tabular Data | Time Series | Tool use | TypeScript | Vector Database | Vertex AI
Education
N/A
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