Agentic Operations Intern

As an Agentic Ops Intern, you'll build systems that take on real operational work — not prototypes, not demos. You'll turn messy, human processes into agents that execute consistently, reliably, and at speed.

You'll architect and ship agents end-to-end: define the problem space, design multi-agent orchestration patterns with shared persistent state, build the tooling and memory layers that let agents compound intelligence over time, and iterate based on real production usage. You’ll work across the full stack of agent infrastructure — from intent classification and context assembly to feedback synthesis and tool integration — building systems that define problems clearly, drive decisions, and execute reliably in real-world business workflows.

You'll work closely with operators and engineers to identify where agentic leverage exists, then drive solutions forward. You'll operate with autonomy, but not in isolation — our team provides context, feedback, and support as you build. When something is unclear, you bring clarity. When something breaks, you move to fix it.

Strong interns don't just complete projects — they build systems that become part of how we operate. The best turn that into a full-time role.

This opportunity is fully remote and operates within +/- 3 hours of EST.

What You’ll Do & Learn

Design, build, and deploy agent-driven systems for key workflows (talent, onboarding, internal tooling) — ensuring adoption and real impact on how the business runs

Identify and prioritize high-impact opportunities where agent-driven systems can create leverage, and translate ambiguous business problems into scalable, executable solutions.

Design and refine agent behavior — prompting, memory, tools, and orchestration — to improve performance over time

Own a system end-to-end and its performance: accuracy, speed, reliability, and adoption improve because you’re in the loop

Work closely with internal users to ensure what you build is trusted, used, and embedded into daily workflows

Identify opportunities to streamline, accelerate, or automate fragmented work through adaptive, agent-based systems

Document what you build so it scales across the team — not just for you, but for others to reuse and extend

About You

You’re actively exploring or building with AI agents — you’re curious, hands‑on, and like testing what’s possible

You think in systems — inputs, outputs, feedback loops, and where things break

You can operate in ambiguity and make progress — you don’t need everything defined to get started

You care about outcomes — not just demos, but systems that hold up under real use

You take ownership of your work and move problems forward, pulling in others when it helps you get to a better result

You learn quickly across domains — technical, operational, or wherever the problem is

You build with iteration in mind — ship, observe, improve, repeat

Preferred Experience

Final‑year student (undergraduate or grad program), recent grad — or early in your career and already building with intent

You’ve experimented with designing multi‑tier agent memory architectures (persistent, episodic, and learned knowledge layers) and orchestrating multi‑agent systems with shared state, feedback loops, and compounding intelligence over time.

You’ve found your way into building with technology — through school, projects, or a self‑directed path — and can point to things you’ve shipped

You’ve experimented with LLMs, agents, or automation tools (OpenAI APIs, Lang Chain, Zapier, etc.) beyond just following tutorials

You can code well enough to prototype, test, and iterate (Python or similar)

You’ve had exposure to workflows, operations, or systems — and have some sense of how real work gets done

You’ve built side projects, tools, or experiments…