Agentic Engineer, Claude Code

🕒 April 29

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Bolder Apps

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B

Bolder Apps is an AI-focused mobile and web app development agency headquartered in Miami that partners with startups and businesses worldwide to design, build, and scale product-grade digital experiences. Founded in 2019, the firm offers product strategy, UI/UX design, cross-platform and native mobile development (Flutter, Swift, Kotlin), web development (React, Node. js, Laravel), backend architecture, growth & optimization, staff augmentation, and ongoing support. They work with clients across industries such as fintech, healthcare, e-commerce, social media, and lifestyle, and provide AI integrations and vendor credits (OpenAI, AWS, Stripe) to accelerate projects.

📋 Description

• Take projects from spec to deployed software, with Claude Code (and other coding agents where they fit) doing most of the typing • Author CLAUDE.md files, skills, and prompt systems that produce consistent output • 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

• R**eal, demonstrable Claude Code experience.** You've shipped apps with it — not POCs, not toys. You can talk fluently about CLAUDE.md, skills, sub-agents, hooks, MCP servers, plan mode, and slash commands without consulting docs. • **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. • **Skill authoring.** You've written reusable skills (SKILL.md, system prompts, agent definitions) that produce consistent output, not one-off prompts that need re-tuning every session. • **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.