Applied AI Field Engineer (Salt Lake City)
Tasks
- Build and orchestrate agent based workflows
- Build evaluation pipelines and benchmarks
- Define evaluation criteria for AI outputs
- Design and build AI-powered features
- Develop prompt architectures
- Identify failure modes and iterate prompts and orchestration
- Implement retrieval-augmented generation pipelines
- Integrate LLM APIs into production systems
- Manage context for grounded accurate outputs
- Optimize latency, cost, and performance
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent Orchestration | Anthropic Claude | Application Programming | Application Programming Interface | Benchmarking | Evaluation Pipelines | JavaScript | Language Models | Large Language Models | OpenAI | Prompt engineering | Python | Retrieval-Augmented Generation | Structured data | Unstructured Data | Vector Databases
Education
N/A
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