Summary
Confidential is seeking an early-career AI Builder to create practical AI-powered solutions for business workflows. The role involves building and deploying apps, scripts, agents, integrations, and automations; evaluating model outputs; improving systems through user feedback; and enabling colleagues to use AI effectively.
Responsibilities
- Turn well-scoped business problems into working prototypes quickly, then improve them through real user feedback
- Build apps, scripts, agents, integrations, and automations that reduce manual work and move into production use
- Observe operating workflows and identify high-frequency, unglamorous tasks where a small automation can create meaningful value
- Connect AI to the tools teams already use so solutions simplify work instead of creating additional steps
- Evaluate model output, create practical evaluations, identify failure modes, and design safeguards appropriate to the use case
- Teach colleagues and end users how to use AI more effectively and communicate clearly what new models and tools make possible
- Test emerging tools and models with disciplined curiosity; share useful findings without chasing novelty for its own sake
- Leave behind concise documentation, reusable components, and clear handoffs so others can maintain and extend the work
Skills
- A portfolio containing at least two things you have built with AI—apps, scripts, agents, automations, or tools. **This is the most important qualification.**
- Hands-on use of LLM APIs beyond a browser chat interface, including programmatic prompts and at least one multi-step workflow
- Working coding ability in at least one programming language; Python or TypeScript preferred
- Strong problem decomposition and first-principles process thinking; you ask why a workflow exists before automating it
- A verification mindset: you check outputs, investigate failures, and improve systems rather than treating model responses as authoritative
- Exceptional written and verbal communication, strong business acumen, and the maturity to work effectively with both technical and non-technical stakeholders
- High initiative, curiosity, urgency, and evidence that you pursue difficult work without needing close supervision
- Bachelor's degree or equivalent practical experience
- Ability and willingness to travel as needed
- A multi-step agent or workflow built with LangGraph, LangChain, CrewAI, a model SDK, or custom orchestration
- Knowledge of a second domain such as finance, accounting, healthcare, design, operations, or data
- A public artifact others use, substantive technical writing, or a channel where you share what you learn
- A personal automation or side project that demonstrates genuine enthusiasm for deploying AI
Qualifications
Must Haves
- A portfolio containing at least two things you have built with AI—apps, scripts, agents, automations, or tools. **This is the most important qualification.**
- Hands-on use of LLM APIs beyond a browser chat interface, including programmatic prompts and at least one multi-step workflow
- Working coding ability in at least one programming language; Python or TypeScript preferred
- Strong problem decomposition and first-principles process thinking; you ask why a workflow exists before automating it
- A verification mindset: you check outputs, investigate failures, and improve systems rather than treating model responses as authoritative
- Exceptional written and verbal communication, strong business acumen, and the maturity to work effectively with both technical and non-technical stakeholders
- High initiative, curiosity, urgency, and evidence that you pursue difficult work without needing close supervision
- Bachelor's degree or equivalent practical experience
- Ability and willingness to travel as needed
Nice to Haves
- A multi-step agent or workflow built with LangGraph, LangChain, CrewAI, a model SDK, or custom orchestration
- Knowledge of a second domain such as finance, accounting, healthcare, design, operations, or data
- A public artifact others use, substantive technical writing, or a channel where you share what you learn
- A personal automation or side project that demonstrates genuine enthusiasm for deploying AI
Benefits
- Remote/Hybrid work arrangement