Applied AI Field Engineer
Tasks
- Build evaluation pipelines
- Build prompt frameworks
- Collaborate with software and QA teams to deliver production solutions
- Debug and improve non deterministic outputs
- Define AI output evaluation criteria
- Design AI-powered features
- Implement retrieval-augmented generation pipelines
- Integrate LLM APIs
- Manage context for AI outputs
- Optimize latency, cost, and performance
- Orchestrate agent based workflows
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent Orchestration | Context Management | Evaluation Pipelines | JavaScript | LLM APIs | Language Models | Large Language Models | Prompt engineering | Python | Retrieval-Augmented Generation | Vector Databases
Education
N/A
Roles
Regions
Countries
States
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