Applied AI Engineer

Human Agency

22h•Remote

About The Position

We're scaling rapidly and have a growing pipeline of opportunities that demand exceptional talent across disciplines. Our mission is to bring on individuals, from creative producers to technical experts to entrepreneurial leaders, who can help us realize this next chapter of growth. We are a company of doers. Leaders roll up their sleeves, teams work flat, and everyone contributes to what ships. Titles don't insulate us from feedback or basics. We invite critique, learn quickly, and keep raising the bar. The best ideas win here, no matter where they come from, because clients trust us to deliver the strongest outcomes every time. Our clients' missions, products, and bottom lines are sacred. We immerse ourselves in their world, becoming stewards of their goals and partners in solving big problems. Every product, strategy, or asset we create must be both beautiful and functional; practical, usable, and designed for real-world impact. Humans are our most valuable resource, and we only grow by hiring people who push us forward. Across strategy, engineering, design, data, and operations, we seek out teammates who raise the bar and make us better. Always hire up, never down. We partner with organizations of all sizes to explore, design, and implement AI strategies that are secure, scalable, and human-centered. We believe AI should amplify human potential, not replace it, and we build with that conviction in every engagement. From advisory and tooling to implementation and education, we meet clients where they are and help them integrate AI in ways that align with their mission and values. Our goal is to empower teams to work smarter, move faster, and unlock new possibilities through thoughtful, responsible innovation. And through it all, we lead with purpose, love, and adventure. We do meaningful work with people we care about, and we make the ride an adventure worth taking. Because at Human Agency, who we are and how we work are one and the same. The Opportunity You're not here to build traditional software. You're here to build AI-native products and systems that fundamentally change how work gets done — for our clients, our ventures, and our own operations. This is the engineering role for someone who sees the current AI moment not as hype but as infrastructure, and who has the skills and instinct to build on top of it before the rest of the world catches up. We need someone who can architect agent-driven workflows that replace entire categories of manual work, ship production systems that integrate LLMs and orchestration frameworks at scale, and move with the speed required when the state of the art shifts every few weeks. You'll work directly with venture leads, client teams, and internal operators to turn ambitious ideas into deployed reality. This role exists because we're building faster than we can hire, and the projects in our pipeline demand an engineer who doesn't need their hand held. You'll have autonomy, access, and the expectation that you'll use both to ship work that compounds in value over time.

Requirements

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.

Responsibilities

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.