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Jiffy

Online apparel distributor with on-demand printing

Agentic-First Software Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field.
  • At least 5 years of professional software engineering experience shipping production systems at scale.
  • Hands-on experience using AI coding agents such as Claude Code, Codex, Cursor, or equivalent as a primary development tool, with the ability to discuss features, refactors, or investigations delivered through agent orchestration.
  • Ability to run multiple agents in parallel and manage concurrent work streams without losing quality, context, or accountability.
  • Strong software design fundamentals, including object-oriented design, API design, data modeling, distributed-system reliability, and performance.
  • Proficiency in at least one server-side language such as Ruby, Python, Go, or Java, and one modern front-end stack such as React or TypeScript, with the ability to direct, review, and validate agent-produced code.
  • Experience with relational databases such as Postgres or MySQL, SQL, and building or consuming REST or GraphQL APIs.
  • Ability to read, critique, and correct code diffs at speed.
  • Strong written communication for expressing intent, writing pull request descriptions, and creating prompts.
  • High integrity, accountability, ownership, and commitment to quality across deliverables.
  • Willingness to work in a fast-paced, ambiguous, high-autonomy environment.
  • Legally authorized to work in the United States without employer sponsorship, now or in the future.

Responsibilities

  • Orchestrate AI coding agents across 3–6 concurrent work streams involving features, refactors, bug fixes, and investigations, using worktrees, sub-agents, and background tasks to maximize parallel throughput.
  • Own features end-to-end by translating product intent into specifications, decomposing work into agent-executable plans, directing implementation, critically reviewing every diff, running quality assurance, landing pull requests, and verifying production health.
  • Design and architect scalable, reliable systems across Rails 8/Solidus e-commerce, GraphQL APIs, a React 19 front end, and Kubernetes infrastructure, making architectural and judgment calls that agents cannot make.
  • Improve the quality of AI-generated code by catching hallucinated APIs, enforcing secure and idiomatic patterns, and challenging technically functional but structurally incorrect output.
  • Build and evolve internal AI tooling, including authoring skills, rules, prompts, Model Context Protocol integrations, and evaluation harnesses; contribute to the shared .ai/ skills and rules library.
  • Maintain production rigor by directing agents to produce meaningful test coverage with RSpec, Vitest, and Playwright, monitoring deployments, responding to incidents, and owning shipped services.
  • Partner with Product, Design, Operations, and peer engineering teams to define and ship features; participate in architecture and code reviews; mentor engineers on AI-native workflows and orchestration patterns.
  • Identify remaining manual work in quality assurance, operations runbooks, data investigations, and migrations that can be replaced by agents, and automate it.

Desired Qualifications

  • Experience authoring or extending AI developer tooling, such as custom skills, slash commands, Model Context Protocol servers, sub-agents, evaluation harnesses, or prompt libraries used by a team.
  • Experience with Ruby on Rails and Solidus/Spree or other large-scale e-commerce platforms.
  • Experience with React 19, TypeScript, GraphQL (Apollo), Tailwind, and modern state management tools such as React Query, XState, and Jotai.
  • Experience operating services on Kubernetes, including Istio, KEDA, or Flagger, and using modern observability stacks.
  • Experience driving agents to maintain and extend test suites with Playwright, Vitest, and RSpec.
  • A track record of mentoring engineers on AI-native workflows, publishing internal patterns, or leading an organization through the shift away from manual coding.
  • Documented improvements in features per week, cycle time, or review time directly attributable to AI adoption.
  • Experience shipping in a fast-paced, agile environment at a high-growth startup or technology company.

About the Company

Jiffy

Online apparel distributor with on-demand printing

Jiffy provides blank, imprintable apparel and printing services for creators, individuals, and businesses. It sources apparel from major brands (Gildan, Bella+Canvas, Next Level) and sells with no minimum order, offering wholesale pricing for large orders. The company uses multiple US warehouses to fulfill orders quickly, often in 1–2 days. It has expanded under the Jiffy.com platform to include on-demand printing, Direct-to-Film (DTF) transfers, sublimation transfers, and custom stickers, connecting customers to a nationwide network of local printers for fast production and delivery. This makes Jiffy a distributor that covers both B2B and B2C markets and also a print-on-demand service that supports the creator economy. Its goal is to provide fast, reliable access to blank apparel and printing capabilities with strong customer service and logistics efficiency, helping makers and businesses turn designs into finished products quickly.

Company size
Not listed
Company stage
Not listed
Total funding
Not listed
Headquarters
Not listed
Founded
2005

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