AI Engineer
Tasks
- Build LLM-driven systems
- Build evaluation pipelines
- Conduct LLM chain tracing and debugging
- Create structured output frameworks
- Deploy AI features to production
- Detect hallucinations
- Develop scoring and analytics systems
- Implement prompt engineering systems
- Optimize model performance
- Run AI A B testing
- Run model fine tuning as needed
- Use LLM observability tooling
Perks/Benefits
- Autonomy
- Company provided MacBook
- Continuous learning
- Fully remote
- Paid national holidays
- Unlimited paid time off
Skills/Tech-stack
A/B | A/B Testing | B testing | Benchmarking | Data Analysis | Fine Tuning | Function Calling | JSON Schema | LLM API | LLM Observability | LLM-as-a-Judge | Langfuse | Latency optimization | Model Fine-tuning | Next.js | Node.js | OpenRouter | Prompt engineering | Python | Ragas | Retrieval-Augmented Generation | TypeScript | Zod
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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