Engineering Director, AI Developer Experience (AIDE)
Tasks
- Build full time dedicated engineering team
- Define objective evaluation criteria
- Design evals and benchmarks for objective measurement
- Develop vector agentic coding sandbox harness and memory retrieval
- Implement AI native incident detection diagnosis and remediation
- Implement knowledge graph traversal retrieval
- Improve token efficiency for AI spend
- Increase shipped pull requests per engineer via automation
- Lead AI assisted agentic code review to reduce defects
- Manage prompt classification and model routing
- Manage third party AI tooling vendors
- Optimize context update mechanisms
- Optimize system prompts for AI assisted coding
- Own NuContext ontology and context curation standards
- Own and scale AI developer experience pillar
- Run build vs partner engagements with third party vendors
Perks/Benefits
Skills/Tech-stack
AI | Agentic coding | Benchmarking | Code review | Code review automation | Cost Optimization | Evaluation Design | Incident Detection | Incident Remediation | Information Retrieval | Knowledge graph | LLM | Prompt Optimization | Prompt engineering | Retrieval-Augmented Generation | Sandboxing | System Prompt | System prompt optimization | Token Cost | Token Cost Optimization | Vector Database
Education
N/A
Regions
Countries
States
Cities
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