AI Builder

Summary

The Methodical Group is seeking an early-career AI builder to create practical solutions that improve business processes. The role involves building and deploying apps, scripts, agents, integrations, and automations, evaluating AI outputs, teaching users, and delivering measurable improvements with increasing independence.

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
• Deliver useful prototypes rapidly and move the best solutions into real workflows
• Demonstrate measurable time savings, quality improvements, or increased capacity for teams
• Earn trust through clear communication, dependable follow-through, and honest verification of your work
• Grow quickly from supported workstream ownership toward increasingly independent delivery

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