Senior AI Engineer
Tasks
- Architect and scale agent infrastructure for multimodal capabilities
- Build training pipelines for character AI agents
- Deploy AI agents across social media platforms
- Develop studio tooling for agent customization
- Implement fine tuning reward model RLHF and RLAIF feedback loops
- Implement safety and content moderation systems
- Integrate agents with commerce and payment systems
- Maintain inference pipelines for character AI agents
- Monitor agent performance and engagement metrics
- Orchestrate LLM and SLM swarms
- Reason about distributed system reliability and scaling
Perks/Benefits
- 401k retirement plans
- Flexible vacation policy
- Flexible working hours
- Health benefits
- Remote work
- Stock options
Skills/Tech-stack
API Development | Content Moderation | Data Pipelines | Distributed Systems | Fine Tuning | Golang | Human Feedback | Inference Optimization | Language Models | Large Language Models | Learning from Human Feedback | Model Fine-tuning | Multimodal AI | Prompt engineering | Python | RLAIF | RLHF | Reinforcement Learning | Reinforcement Learning from Human Feedback | Reward Modeling
Education
N/A
Roles
AI | AI Engineer | AI/Agent Engineer | Agent Engineer | Engineer | Senior AI Engineer
Regions
Countries
States
Cities
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