AI Engineer - Applied AI
Tasks
- Build AI coach production systems
- Build and integrate AI prototypes in production environments
- Conduct bias testing for fairness
- Create technical documentation
- Design multi agent conversational features
- Develop evaluation frameworks for transparency
- Implement stateful multi turn coaching workflows
- Orchestrate data pipelines for surveys and performance data
- Ship customer solving features
- Translate customer requirements into technical solutions
- Unify workplace data into coaching context
Perks/Benefits
- Coaching Budgets
- Employee Share Options Program
- Extended year-end breaks
- Medical insurance
- Mental wellbeing support
- Parental leave
- Social impact days
- Team building budgets
- Wellbeing pauses
- Work from home office budget
Skills/Tech-stack
Agent architecture | Context engineering | Data Pipelines | Langgraph | Language Processing | Machine Learning | Natural Language | Natural Language Processing | PGVector | PostgreSQL | Prompt engineering | Python | RAG | React | Retrieval-Augmented Generation | Software testing | Technical writing
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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