Product Engineer, Applied AI
Tasks
- Architect data ingestion layer
- Build agentic AI systems end-to-end
- Debug and optimize systems across stacks
- Develop query engine for low latency aggregation
- Ensure security and reliability for sensitive data
- Implement semantic enrichment and transformation
- Orchestrate workflows via APIs and webhooks
- Prototype, iterate, and ship AI features
Perks/Benefits
- 401k
- Company holidays
- Discretionary vacation
- In Person Offices
- Medical, dental, vision plans
- Mentorship programs
- Wellness stipend
- Work from home stipend
Skills/Tech-stack
APIs | AWS Lambda | Amazon Web Services | ClickHouse | Data Ingestion | Data Transformation | Debugging | Developer tools | Distributed Systems | Entity Resolution | GraphQL | LLM | Language Models | Large Language Models | Presto | Production Systems | Reliability | Security | Semantic enrichment | Slack | Temporal | Testing | Tool use | TypeScript | Web Services | Webhooks | Workflow Orchestration
Education
N/A
Roles
AI | AI Engineer | Applied AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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