Senior Applied AI Engineer
Tasks
- Architect AI solutions for ambiguous problems
- Build full-stack AI systems end-to-end
- Create evaluation frameworks for AI impact
- Deploy applied AI solutions in production
- Design A/B experiments and metrics
- Develop advanced prompt chains and multi agent flows
- Ensure AI governance and ethical considerations
- Implement observability and alerting for AI systems
- Improve AI MLOps pipelines
- Lead design and architecture for multi agent systems
- Mentor engineers in prompt engineering and agent orchestration
- Prototype and validate applied research techniques
Perks/Benefits
- 401k match
- Dental insurance
- Disability insurance
- Flexible time off
- Health insurance
- Hybrid work
- Life insurance
- Remote work flexibility
- Vision insurance
Skills/Tech-stack
A/B | A/B Testing | Agent Orchestration | Agent systems | Automated Monitoring | B testing | CI/CD | Chat Completions API | Crew AI | Databricks | LLM | Language Models | Large Language Models | MLOps | Model Evaluation | Model versioning | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Snowflake | Spark | VLLM
Education
N/A
Regions
Countries
States
Cities
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