Applied AI Engineer

Ship AI-powered products and tools from zero to production. You'll design, build, and deploy systems for both internal operations and client-facing venture products — agent workflows, automation platforms, LLM-integrated applications, and tooling that didn't exist six months ago.

Architect systems that scale beyond demos. You're building real infrastructure, not prototypes. That means thinking through orchestration, error handling, observability, cost, and how things actually run in production when users depend on them.

Work across the full stack. Frontend, backend, infrastructure, LLM integration, agent frameworks — you move fluidly between layers and own the entire system, not just one piece of it.

Collaborate directly with venture and client teams. You'll work alongside founders, strategists, and operators to understand what needs to be built and why, then make technical decisions that serve the mission without waiting for permission.

Stay current and opinionated about the AI tooling landscape. The best tools from two months ago are already outdated. You know what's shipping, what's worth using, and what's just noise, and you bring that perspective into every build.

Push the boundary on what's possible with AI. You're not satisfied with prompt wrappers or surface-level integrations. You're here to explore what happens when you treat agents, models, and orchestration as foundational infrastructure, and you build accordingly.

Strong software engineering foundation with experience building and shipping production systems — you understand how to write maintainable code, architect scalable services, and deploy software that people actually use.

Deep, hands-on experience building with LLMs, agent frameworks, and AI tooling — you've worked with OpenAI, Anthropic, or similar APIs, and you've integrated them into real products, not just demos or side projects.

Full-stack capability — you're comfortable working across frontend, backend, databases, APIs, and infrastructure, and you know when to go deep versus when to move fast.

Proven track record of AI projects you've built and shipped — we want to see your work. GitHub repos, deployed products, live demos, or detailed writeups of systems you've architected. Proof of work is non-negotiable.

Product sense and judgment — you don't just execute on specs. You understand why something matters, what should be built, and what can wait. You ask the right questions and make smart tradeoffs under ambiguity.

Familiarity with modern AI tooling and orchestration frameworks — whether it's LangChain, LlamaIndex, agent libraries, vector databases, or the next thing that just launched, you know the landscape and have opinions about what works.

You're AI-pilled in the best way — you see the current moment as foundational, not hype, and you're building accordingly. You're not waiting for permission to explore what's possible.

You ship fast and iterate in public. You'd rather deploy something good today and improve it tomorrow than wait three weeks for perfect. You have strong instincts about when to move quickly and when to slow down.

You think in systems, not features. You're interested in building things that compound in value over time — tools that get more useful, workflows that unlock other workflows, infrastructure that enables future work.

You're comfortable with ambiguity and autonomy. You don't need a roadmap handed to you. You can take a problem, figure out what needs to be built, and make it happen with minimal oversight.

You care about craft but not at the expense of impact. You write clean code and build thoughtful systems, but you're not precious about it. Shipping something useful beats building something perfect.

You're curious, opinionated, and willing to be wrong. You have strong views on what's worth building and how to build it, but you update those views when you learn something new. You invite feedback and get better because of it.

This is a remote, full-time position open to candidates based in the US or Canada.

Compensation is competitive and commensurate with experience, including base salary, performance-based bonuses.

Some travel required for client engagements, team offsites, and collaborative working sessions.

Human Agency is an Equal Opportunity Employer. We value diverse perspectives and are committed to building inclusive, high-performing teams where everyone can do their best work.