Senior Applied AI/ML Engineer
Tasks
- Build LLM-powered applications
- Build reliable AI infrastructure
- Create agentic workflow automation systems
- Design build deploy and optimize AI ML solutions
- Design evaluation and experimentation frameworks
- Develop retrieval-augmented generation systems
- Ensure data privacy, security, and compliance
- Improve model selection and system logic
- Monitor evaluate and continuously improve AI systems
- Optimize prompts and retrieval strategies
- Own and improve production AI systems
- Translate business problems into scalable AI systems
Perks/Benefits
- 401k retirement plan
- Flexible time off
- Health, dental and vision coverage
- Opportunities for company events and connection
- Remote or hybrid flexibility
Skills/Tech-stack
Agentic Workflows | Artificial Intelligence | Benchmarking | Compliance | Data Privacy | Data Security | Embeddings | Experimentation Frameworks | Information Retrieval | Language Models | Large Language Models | MLOps | Machine Learning | Model Evaluation | Monitoring | Observability | Prompt engineering | Python | Retrieval-Augmented Generation | System Reliability | Testing | Tool use | Vector Databases | Workflow automation
Education
N/A
Regions
Countries
States
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