Applied AI Lead
Tasks
- Assess vulnerabilities and emerging attack surfaces
- Build AI native dashboards and workflows
- Build reusable skills and sub agents
- Collaborate on data infrastructure for AI consumption
- Create tool definitions and eval harnesses
- Define data handling policies
- Define retrieval strategy and context structure
- Design context engineering and prompt design
- Establish AI best practices and evaluation frameworks
- Evaluate models and vendors
- Harden LLM adjacent infrastructure
- Identify high leverage AI automation opportunities
- Implement AI security guardrails
- Implement human-in-the-loop checkpoints
- Integrate MCPs into agent workflows
- Own AP internal AI tool stack
- Own operational AI layer
- Raise AI literacy and facilitate training
- Set access controls for agent systems
- Stand up agentic workflows end to end
Perks/Benefits
- Equity opportunities
- Flexible work arrangement
- Learning and development stipend
- Unlimited PTO
- Yearly learning stipend
Skills/Tech-stack
Access Control | Agentic Workflows | Artificial Intelligence | Context engineering | Contextual Data Handling | Contextual data | Data handling | Evaluation harnesses | Fine Tuning | Fintech | Human-in-the-loop | Injection Defense | Language Models | Large Language Models | MCP | Machine Learning | Payments | Prompt engineering | Prompt injection | Prompt injection defense | Retrieval-Augmented Generation | Security Assessments | The Loop | Tool Definitions
Education
N/A
Roles
AI | AI Engineer | AI Lead | Applied AI Lead | Engineer | Lead
Regions
Countries
States
Cities
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