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Agentic Systems Intern (Graduate Level) at Nascent Markets in Remote
InternshipRemoteRemote
Skills
agent-driven systems designmulti-agent orchestrationagent memory architecturespython programmingllmautomation tools openai apisautomation tools langchainautomation tools zapierworkflowoperations systemsbusiness impact quantificationoperate in ambiguitytranslate ambiguous problems into structured solutionslearn quickly across domains
Job Description
Summary: Nascent Markets is a company focused on building and expanding opportunities in open markets and permissionless technologies. They are seeking an Agentic Systems Intern to design and deploy agent-driven systems that solve real business problems, improving operations across speed, cost, and decision-making.
Responsibilities:
- Identify high-impact operational bottlenecks and design agent-driven systems that eliminate manual work and improve speed, accuracy, and scalability
- Design, build, and deploy agent-driven systems for key workflows (talent, onboarding, internal tooling) — ensuring adoption and real impact on how the business runs
- Own the full lifecycle of a business-critical system — from problem definition to deployment — and drive measurable improvements in performance (e.g., time saved, cost reduced, throughput increased)
- Quantify the impact of what you build — translating system improvements into business outcomes (efficiency gains, cost savings, or revenue enablement)
- Work closely with internal users to ensure what you build is trusted, used, and embedded into daily workflows
- Document what you build so it scales across the team — not just for you, but for others to reuse and extend
Required Qualifications:
- Identify high-impact operational bottlenecks and design agent-driven systems that eliminate manual work and improve speed, accuracy, and scalability
- Design, build, and deploy agent-driven systems for key workflows (talent, onboarding, internal tooling) — ensuring adoption and real impact on how the business runs
- Own the full lifecycle of a business-critical system — from problem definition to deployment — and drive measurable improvements in performance (e.g., time saved, cost reduced, throughput increased)
- Quantify the impact of what you build — translating system improvements into business outcomes (efficiency gains, cost savings, or revenue enablement)
- Work closely with internal users to ensure what you build is trusted, used, and embedded into daily workflows
- Document what you build so it scales across the team — not just for you, but for others to reuse and extend
- You think in terms of leverage and impact — not just what can be built, but what should be built
- You're comfortable translating ambiguous business problems into structured solutions
- You care about ROI — time saved, cost reduced, or outcomes improved
- 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 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 Qualifications:
- MBA student or recent graduate with prior engineering or technical experience — or equivalent hybrid background combining technical depth and business thinking
- 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, LangChain, 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 that improve real tasks — shipped, used, and iterated on (this matters more than credentials)
Required Skills: Agent-driven systems design, Multi-agent orchestration, Agent memory architectures, Python programming, LLM, automation tools OpenAI APIs, automation tools LangChain, automation tools Zapier, Workflow, operations systems, Business impact quantification, operate in ambiguity, translate ambiguous problems into structured solutions, learn quickly across domains
Benefits: Flexible summer program beginning in May 2026, Opportunity to convert to full-time based on performance, Mentorship and coaching from operators, engineers, and subject matter experts — learn by building, not observing, Awesome Nascent swag!
Benefits
Flexible summer program beginning in May 2026
Opportunity to convert to full-time based on performance
Mentorship and coaching from operators, engineers, and subject matter experts — learn by building, not observing
Awesome Nascent swag!