AI Engineer
Tasks
- Analyze experiment and operational data for insights
- Automate business processes with agents and workflows
- Build MCP servers for agents
- Create revenue and reporting pipelines
- Develop lab assistant skills and system prompt
- Draft customer update communications
- Implement procurement alerts and invoice reconciliation
- Integrate assistant with internal APIs for tool use
- Monitor models and systems to catch regressions
- Set up evals observability and monitoring
- Wrap internal APIs into installable SDKs
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Data Pipelines | Function Calling | Language Models | Large Language Models | MCP | Monitoring | Multi-step Workflows | Observability | Python | Retrieval-Augmented Generation | SDK development | SQL | STEP Workflows | Tool use | TypeScript | Workflow automation
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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