Applied AI Engineer
Tasks
- Analyze failures and improve prompts
- Build AI products end to end
- Build APIs and backend systems
- Collaborate with customers to shape product
- Complete long running tasks
- Create evaluation suites for agent performance
- Define technical direction from prototype to production
- Deploy production infrastructure
- Design agent orchestration and tool use
- Develop reliable agent loops
- Implement data pipelines
- Mentor engineers and share technical knowledge
- Optimize model and tool choices
- Recover from failures in agents
Perks/Benefits
- 401k
- Annual team offsite
- Free meals
- Free transportation
- Health, dental, vision insurance
- Paid time off
- RRSP
- Wellness stipend
Skills/Tech-stack
APIs | Agent Orchestration | Backend Development | Data Pipelines | Databases | Evaluation | Frontend Development | JavaScript | LLM Agents | Language Models | Large Language Models | Production Systems | Prompt engineering | Python | Retrieval-Augmented Generation | Structured Output | Tool use | TypeScript
Education
N/A
Roles
AI Engineer | Applied AI Engineer | Engineer | Software Engineer
Regions
Countries
States
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