AI Intern - US - Dallas, TX

Photon • United States,

1d • Onsite

About The Position

The PHTN.ai is an agent management platform which has (API/RBAC/governance) ALM (lifecycle/deploy), agent frameworks (LangGraph super-agents + sub-agents) MCP gateway/server for tools, RAG service, A2A proxy for external agents, schema-driven super/sub-agent Orchestration, MCP Gateway/Server for tools, a dedicated RAG service (LlamaIndex + PGVector), and a two-track policy model (in-agent PEP vs proxy/channel PEP)

Requirements

• Currently pursuing a degree in Computer Science, Artificial Intelligence, or a related field.
• Strong understanding of machine learning concepts and algorithms.
• Familiarity with programming languages such as Python.
• Knowledge of AI frameworks and libraries (e.g., LangGraph, LlamaIndex).
• Understanding of vector databases (e.g., PGVector).
• Familiarity with API design and development.
• Understanding of RBAC (Role-Based Access Control) and governance principles.
• Excellent problem-solving and analytical skills.
• Strong communication and teamwork abilities.

Nice To Haves

• Experience with agent-based systems.
• Familiarity with cloud platforms (AWS, Azure, GCP).
• Experience with containerization technologies (Docker, Kubernetes).
• Knowledge of CI/CD pipelines.

Responsibilities

• Develop and implement AI models and algorithms.
• Collaborate with the engineering team to integrate AI solutions into the PHTN.ai platform.
• Research and evaluate new AI technologies and techniques.
• Assist in the design and development of agent frameworks, including LangGraph super-agents and sub-agents.
• Contribute to the development of the MCP gateway/server for tools.
• Work on the RAG service, utilizing LlamaIndex and PGVector.
• Support the implementation of A2A proxy for external agents.
• Assist in schema-driven super/sub-agent orchestration.
• Contribute to the two-track policy model (in-agent PEP vs proxy/channel PEP).

What This Job Offers

• Career Level: Intern
• Education Level: No Education Listed