LLM Agent Research Engineer

Note: We have token credit benefit ($200/month for world leading models + project bonus $200 per project in the internship period; offer full-time salary if converted)

Research Engineer Intern — Agent-to-Agent Networks

Aicoo is building the coordination layer for personal AI agents: a secure, permissioned Agent-to-Agent network where agents can communicate, delegate, and collaborate across user boundaries.

We are looking for a Research Engineer Intern to help us build cutting-edge systems and research prototypes in networked personal agents, agent-to-agent communication, tool use, memory governance, and secure delegation.

Responsibilities

You will work closely with the founding team on:

• Designing and implementing Agent-to-Agent network protocols for cross-boundary delegation and coordination.
• Building agent systems with tool use, skill execution, hierarchical memory, and controlled memory exposure.
• Developing research prototypes, benchmarks, and evaluation pipelines for agent utility, privacy, security, and robustness.
• Maintaining and improving open-source infrastructure, including documentation, examples, tests, and developer-facing tools.
• Contributing to research papers targeting top-tier ML/AI conferences such as NeurIPS, ICLR, ICML, and ACL.

Requirements

We are especially interested in candidates who have:

• Strong hands-on engineering ability in Typescript and modern AI/agent frameworks.
• Familiarity with LLM agents, tool calling, memory systems, retrieval, workflows, or multi-agent systems, SKILLS, TOOLS.
• Experience maintaining or contributing to open-source projects.
• Ability to read research papers and turn ideas into working systems quickly.
• Strong ownership, clarity of communication, and taste for clean, reliable engineering.

Nice to Have

• Experience with MCP, LangGraph, AutoGen, OpenAI/Anthropic APIs, or similar agent infrastructure.
• Background in systems, security, databases, distributed systems, or ML infrastructure.
• Prior research experience or publications in AI, ML, NLP, agents, or systems.

What You’ll Get

• Direct mentorship from Oxford University founding team with experience in top AI research labs and top-tier publications.
• Opportunity to work on frontier research in Agent-to-Agent networks, personal AI operating systems, and secure agent delegation.
• Strong contributors may be included as co-authors on research papers submitted to top ML conferences.
• A chance to help define a new category of AI infrastructure from the earliest stage.

How to contact me?

• Direct book meeting with CEO if you are competent enough.
• With the access code: BETA_PULSE, check this onboarding guide:
• Then talk to my AI COO here. Convince her: https://www.aicoo.io/a/17GX0VLeq5