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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-timeNew York, NY, 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; candidates must be able to discuss production features, refactors, or investigations delivered through agent orchestration, not occasional autocomplete usage.
  • 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 agents producing the code while the candidate directs, reviews, and validates it.
  • 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 to express intent, write clear pull request descriptions, and create clear prompts.
  • High integrity, accountability, ownership, and commitment to excellence across deliverables.
  • Desire to work in a fast-paced, ambiguous, high-autonomy environment.
  • Must be 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 spanning 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, React 19 front end, and Kubernetes infrastructure, making the architectural and judgment calls agents cannot make.
  • Raise the quality of AI-generated code by catching hallucinated APIs, enforcing secure and idiomatic patterns, and pushing back on output that works technically but is structurally wrong.
  • Build and evolve internal AI tooling by authoring skills, rules, prompts, Model Context Protocol integrations, and evaluation harnesses; contribute to the shared .ai/ skills and rules library.
  • Operate with production rigor by directing agents to produce meaningful test coverage using 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, including 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, including 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 or Spree, or other large-scale e-commerce platforms.
  • Experience with React 19, TypeScript, GraphQL (Apollo), Tailwind, and modern state management such as React Query, XState, or Jotai.
  • Experience operating services on Kubernetes, including Istio, KEDA, or Flagger, and 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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