Description

We're hiring engineers to build production software with Claude Code on a per-project basis. You won't write much code by hand. You'll orchestrate the agents, design the skills, manage context and memory, and ship working apps.

We need people who've actually mastered this and understand what's happening under the hood, not vibe-coders. If you've shipped real things with Claude Code and you can handle Git, deployments, databases, security, and the rest, we want to talk.

You'll get a fixed pay per each project. Our average builders make more than $10k per month.

About Us

Bolder Apps is a product development studio that partners with US-based startups and established companies to build and scale innovative digital products.

We specialize in AI-powered development, full-cycle product creation, and engineering team augmentation. Our mission is simple: build bolder, faster, and smarter.

Our Culture & Values (read before applying)

We move fast. We take ownership. We work with AI, not against it. And we expect everyone to bring ideas, not wait for instructions.

There are no daily checklists, no micromanagement, and no corporate politics. Instead, you’ll have autonomy, trust, and a team that’s always ready to help you grow.

At Bolder Apps, impact matters more than titles, and curiosity matters more than seniority.

If you want a place where you can level up fast and actually see your work making a difference - welcome aboard.

Responsibilities

Take projects from spec to deployed software, with Claude Code (and other coding agents where they fit) doing most of the typing
Manage context, sub-agents, memory, and tokens across long-running tasks
Drive TDD with agents using hooks, sub-agents, and verification patterns, and don't let the agent cheat
Set up CI/CD, deployments, databases, secrets, and monitoring properly
Be the final quality gate. Review what the agent produced, refactor what's wrong, ship what works

Requirements

Multi-agent fluency. You've worked across at least one other coding agent (Cursor, Codex, Copilot, Amp, Cline, or similar) and can articulate the trade-offs
Context engineering. You manage the context window deliberately. You know when to summarize, when to spawn a sub-agent, when to clear and restart
Memory management. External memory, RAG, file-system memory, structured handoffs across sessions and days
Token economy. You optimize for cost. You know which model to use for which task. You're not burning Opus tokens on jobs Haiku would handle
Git. Branches, rebases, worktrees, conflict resolution, clean commits. You don't panic when something goes sideways with origin/main
Deployments. You can ship a Next.js app to Vercel, a backend to Fly or Railway, a container to AWS — and you can debug it when it breaks at 11pm
Databases. Postgres-class fluency. You've worked with Supabase or equivalent (Neon, RDS, PlanetScale). You understand schemas, indexes, migrations, foreign keys, transactions, and Row Level Security. You don't write SELECT * in production code
Security. Secrets management, env vars, auth flows (OAuth, JWTs, sessions), input validation, CORS, prompt injection in agent contexts, scoped tool permissions, the OWASP Top 10. You don't ship credentials to GitHub
Networking and infra basics. DNS, HTTPS, environment isolation (dev/staging/prod), basic observability (logs, error tracking, uptime monitoring)
Reading code. When the agent produces something subtle, you catch it. You can debug across files, languages, and stacks
TDD with agents. You can make a coding agent actually do test-first development. You know it doesn't do this naturally — and you have your guardrails
Unit and integration testing. pytest, Jest, Vitest, Playwright, or whatever your stack demands. Meaningful coverage, not theater
Eval frameworks for agent quality, not just deterministic tests
Code review reflex. You don't merge what you haven't read
Honest communication. When something is harder than expected, you flag it early. You don't disappear and resurface with surprises

Benefits

$10,000+ per month (paid per project). Uncapped upside for top operators who can ship multiple projects
Per-project structure. Defined scope, defined deliverables, no fake urgency
Fully remote, async-friendly. Work where and when you do your best work
Real autonomy. You pick the agent architecture, the skills, the workflow. We don't micromanage process
Steady pipeline. For engineers who consistently deliver, repeat work is the default
Direct line to decision-makers. No PM layers between you and the people who own the outcome
Tooling budget for model APIs, plugins, and infrastructure required to do the job well
A peer network of other top-tier agentic operators we work with on overlapping projects

How to Apply

A real project you shipped where AI agents wrote most of the code under your direction. Live URL preferred. Repo if it's open. Tell us what the agent got right, what it got wrong, and what you did about it
A skill, CLAUDE.md, MCP server, or hook setup you're proud of. Show us your taste and your standards
Your TDD-with-agents approach. Briefly: how do you make a coding agent actually do test-first development without cheating?
Something that proves you operate under the hood. A war story about a deployment that went sideways. A Supabase schema you're proud of. A security issue you caught. A migration you executed without drama. Something that shows you're not just driving the agent — you understand the road

Agentic Engineer - Claude Code