{"schemaVersion":"jobsearcher.job.v1","id":"c31380e9b75b7f145bbf7344","url":"https://jobsearcher.com/jobs/c31380e9b75b7f145bbf7344","canonicalUrl":"https://jobsearcher.com/jobs/c31380e9b75b7f145bbf7344","title":"AI Builder","description":"Location: United States or Brazil | Remote/HybridThe OpportunityThis is an uncommon opportunity for an early-career builder who already uses AI as a native part of how they think and work.You will identify repetitive or error-prone business processes, break problems down, and rapidly create apps, scripts, agents, and automations that people actually use. Credentials matter less than evidence: what you have built, how you approached the problem, what failed, and how you improved it.What You'll DoTurn 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. What Success Looks LikeDeliver 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. RequiredWhat You BringA 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. Highly ValuedA 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. This Role Is—and Is NotHands-on: You will build, test, deploy, and improve solutions that reach real users and create measurable business value. Not a research role: This is not a research-focused position, consulting-only role, or prototyping environment where demos stop before adoption. High autonomy: This role is designed for someone who moves quickly, communicates clearly, and takes ownership from initial idea through implementation.","company":"Methodical Group","rawCompany":"methodical group","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-02T08:18:48.927Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1254.00","title":"Web Developers","slug":"web-developers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Builder","description":"Location: United States or Brazil | Remote/HybridThe OpportunityThis is an uncommon opportunity for an early-career builder who already uses AI as a native part of how they think and work.You will identify repetitive or error-prone business processes, break problems down, and rapidly create apps, scripts, agents, and automations that people actually use. Credentials matter less than evidence: what you have built, how you approached the problem, what failed, and how you improved it.What You'll DoTurn 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. What Success Looks LikeDeliver 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. RequiredWhat You BringA 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. Highly ValuedA 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. This Role Is—and Is NotHands-on: You will build, test, deploy, and improve solutions that reach real users and create measurable business value. Not a research role: This is not a research-focused position, consulting-only role, or prototyping environment where demos stop before adoption. High autonomy: This role is designed for someone who moves quickly, communicates clearly, and takes ownership from initial idea through implementation.","datePosted":"2026-09-02T08:18:48.927Z","dateModified":"2026-09-02T08:18:48.927Z","hiringOrganization":{"@type":"Organization","name":"Methodical Group","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"c31380e9b75b7f145bbf7344"},"url":"https://jobsearcher.com/jobs/c31380e9b75b7f145bbf7344"}}