AI Security & Agent Infrastructure Intern — Danphe RealmEngine

Research and Development · Remote · Internship · 6 – 12 Months

About Danphe Intelligence Lab

Danphe Intelligence Lab is an AI and data science research and engineering initiative focused on developing practical technologies across artificial intelligence, machine learning, intelligent systems, and applied research.

We are currently exploring Danphe RealmEngine, an early-stage R&D project focused on the security and governance of AI agents operating with access to enterprise systems.

About RealmEngine

As AI agents become capable of reasoning, retrieving information, calling tools, and performing actions on behalf of users, traditional application security models become increasingly difficult to apply. RealmEngine explores a security and governance layer designed to help organizations control how AI agents interact with sensitive enterprise systems.

The project focuses on areas including:

AI-agent security
LLM and prompt-injection defense
Secure AI tool execution
Identity-aware authorization
Least-privilege access
Enterprise data protection
Agent execution monitoring
Security policy enforcement
AI governance and auditability
Enterprise AI infrastructure

The long-term research direction includes applications in healthcare, financial services, and other security-sensitive enterprise environments.

About the Internship

We are looking for technically strong and highly motivated individuals who want to work on an early-stage research and engineering project, rather than a conventional internship based around tutorials or repetitive tasks.

As an intern, you may contribute to research, experimentation, implementation, security testing, benchmarking, documentation, or architecture depending on your technical strengths. You will work with modern technologies across AI, cybersecurity, backend engineering, distributed systems, and cloud infrastructure.

What You Could Work On

AI & LLM Security

Researching prompt injection and indirect prompt injection
Developing AI-agent security mechanisms
Evaluating LLM security vulnerabilities
Building security classification systems
Creating adversarial test cases and benchmarking detection performance

AI Agents & Tool Security

Studying agent and tool execution architectures
Designing secure tool-calling mechanisms
Exploring least-privilege authorization for AI agents
Developing agent execution safeguards
Researching MCP and similar agent interoperability technologies
Detecting abnormal or runaway agent behavior

Backend & Security Engineering

Developing APIs and middleware
Implementing authentication and authorization (OAuth 2.0 / OIDC / JWT)
Developing policy-driven security mechanisms
Building distributed backend services
Designing secure service-to-service communication

Data & Enterprise Context

Working with PostgreSQL and vector databases
Exploring knowledge graphs
Developing controlled retrieval mechanisms
Researching role-based and attribute-based access control
Working with data provenance and enterprise context

ML Engineering

Working with PyTorch or TensorFlow
Experimenting with open-source LLMs
Model inference and optimization
Quantization and efficient inference
QLoRA/PEFT experimentation
Building evaluation pipelines

Cloud & Infrastructure

Docker, Kubernetes, CI/CD, Linux, Redis
Database infrastructure
Monitoring and observability

Technical Skills

Required — applicants should have strong practical knowledge in several of the following:

Python
Git/GitHub
Linux
REST APIs
Backend development
Machine learning or deep learning
LLM fundamentals
Cybersecurity fundamentals
Software engineering principles

Strong Advantage — experience with:

Go or Rust
PyTorch / TensorFlow, Transformers, RAG
AI agents, MCP
OAuth 2.0 / OIDC / JWT
Docker, Kubernetes
PostgreSQL, Redis, Neo4j or graph databases, vector databases
OPA / Cedar
vLLM / llama.cpp, ONNX Runtime
QLoRA / PEFT
Cloud platforms
Security testing

Who We're Looking For

We are particularly interested in people who:

Enjoy solving difficult technical problems
Can work independently
Are comfortable learning unfamiliar technologies
Can read technical documentation and research papers
Think about security and failure modes
Can write clean, maintainable code
Investigate problems rather than simply wait for instructions
Are comfortable with GitHub-based development
Can communicate technical ideas clearly
Are genuinely interested in AI security and autonomous systems

We value demonstrable ability more than certificates. A strong GitHub profile, research project, AI project, cybersecurity project, open-source contribution, or technical portfolio is highly valuable.

What You Will Gain

This internship is designed to provide hands-on exposure to a multidisciplinary area at the intersection of AI, cybersecurity, AI agents, backend engineering, and enterprise infrastructure. You may gain practical experience in:

AI-agent security
LLM security
Secure AI architecture
Authorization and access control
Zero-trust principles
Policy-driven security
Backend engineering
Distributed systems
ML engineering
Cloud-native infrastructure
Security testing
Technical research and engineering documentation

Selected contributions may also provide material suitable for a technical portfolio, research work, or open-source contribution where appropriate.

Internship Structure

Work mode: 100% remote
Location: Worldwide
Compensation: Unpaid / project-based
Duration: 3–6 months
Schedule: Flexible, agreed according to project requirements
Collaboration: GitHub, technical documentation, issue tracking, and remote meetings

This is a project-based research and engineering internship, not a paid employment position. Applicants should consider the unpaid nature and project commitment carefully before applying.

Application Requirements

Please submit:

CV / Resume
GitHub profile
LinkedIn profile (optional)
Relevant projects or portfolio
Your strongest technical skills
A short explanation of why AI security / AI agents interest you
Your expected weekly availability
Preferred internship duration

Application submitted via Mail will not be considered further

Selection Process

Shortlisted applicants may be invited to a technical discussion and/or a small practical assessment. We are interested in candidates who can demonstrate:

"Build it. Test it. Break it. Understand why it failed. Make it better."

Important

RealmEngine is currently an early-stage R&D project. The internship provides an opportunity to contribute to the exploration and development of the technology, but specific project assignments will depend on the candidate's skills, interests, and project requirements. Because the project concerns security-sensitive technologies, professional conduct, confidentiality, responsible security research, and careful handling of project information are essential.

View full details and apply →