Applied AI Engineer
Tasks
- Architect AI native product experiences
- Build and deploy LLM-powered agents
- Build evaluation frameworks
- Collaborate cross-functionally
- Conduct red teaming workflows
- Create conversational AI systems
- Design context engineering
- Design proactive engagement systems
- Develop retrieval pipelines
- Implement AI guardrails
- Implement prompt orchestration
- Improve production AI reliability
- Optimize AI quality latency and cost
- Own projects end to end
Perks/Benefits
- Collaborative engineering culture
- Equity
- Fast career growth
- High ownership
- Mission-driven environment
- Onsite in New York City
Skills/Tech-stack
AI Evaluation | AI Safety | AWS | Backend Engineering | Context engineering | Conversational AI | Guardrails | Information Retrieval | LLM Agents | Language Models | Large Language Models | Machine Learning | PostgreSQL | Prompt engineering | Prompt orchestration) | Python | React | Red Teaming | Retrieval-Augmented Generation | TypeScript
Education
N/A
Regions
Countries
States
Cities
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