Founding Harness Engineer – AI Agents

🔥 26 minutes ago

🌐 Argentina, Colombia, +3 more countries – Remote

🇦🇷 Argentina – Remote 🇨🇴 Colombia – Remote 🇲🇽 Mexico – Remote 🇺🇿 Uzbekistan – Remote 🇬🇪 Georgia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Bolder Apps

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

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

• Build the agent runtime: context, tool choice, approval waits, and knowing when to act, ask, or stay quiet • Write and keep tuning the system prompts; ensure proactive behavior without spamming the team channel • Own the eval and regression harness; test prompt changes like code • Make long-running work survive interruptions, retries, and flaky APIs • Implement guardrails, including approval gates for risky actions and strict customer data separation • Work directly with the founder and early users, turning feedback into shipped behavior

🎯 Requirements

• You've shipped tool-using LLM agents to real users in production. Demos and prompt wrappers don't count • Good instincts for agent initiative, and the test results to back them up • Hands-on experience building eval and regression suites for LLM behavior • You understand safe tool execution, prompt injection, and multi-tenant data risk • Solid backend skills in Python or TypeScript (async jobs, retries, state) • You take a fuzzy problem from prototype to production and can explain the tradeoffs along the way • Excellent written and verbal communication; you can explain a tradeoff to a founder or a user without a whiteboard • Nice to have: MCP, or integrations with tools like Slack, Gmail, Notion, or Linear • Nice to have: Eval and tracing tools such as Braintrust, Langfuse, or LangSmith • Nice to have: You've been an early engineer at a startup before and still liked it

🏖️ Benefits

• Founding equity • A direct line to the founder and early users, with no layers in between • Remote from Latin America or Eastern Europe, with solid overlap with US Pacific time • The tools and models you need to do the job properly • A small, experienced team that trusts you to run your own work