MCP and Agentic AI - intern (Azure practice)

This is a remote position.

Company Description

Ariana.Digital is a digital consulting agency that specializes in design, data, and emerging technology services, with a focus on delivering exceptional omni channel customer experiences. The company integrates human-centered design principles and decision science models into incremental delivery to enable clients to innovate and create new business opportunities. Ariana.Digital's practice hosts business and CX strategy experts who also hold strong technical backgrounds in computing, data science, and AI/machine learning. This blend enables us to provide value-driven solutions to real-life business scenarios and challenges.

About Our Startup Initiative - MyndQ

This position is placed under our myndQ.ai initiative. At Ariana Digital we are investing in the future workforce. This initiative is crafted to experiment with the next generation of AI-augmented digital experiences across industries. To achieve this we are launching MyndQ - an initiative where bold thinking, experimentation, and problem-solving converge to create future-ready solutions - Human intelligence turbo-charged by AI Agents.

Requirements

Role Overview

We’re looking for curious, technically adept, and boundary-pushing Agentic AI Intern to startup MyndQ. This is a hands-on innovation role, ideal for someone eager to explore the next frontier of AI—agentic systems, decision-making models, and augmented cognition. You’ll work closely with the founder to prototype, experiment, and shape agent-powered tools and platforms. Knowledge of the Azure stack, Power Apps, LangChain and related Agentic concepts and frameworks, Python, React.js, OpenAI and Vertex AI API's is a big plus; else eagerness to learn these technologies is a must.

Key Responsibilities

• Explore and prototype applications of agentic AI systems in problem-solving, workflow augmentation, and human-AI collaboration.
• Contribute to experimental designs for novel AI behaviors, prompts, and autonomous agent coordination.
• Collaborate across disciplines to develop and validate proof-of-concept solutions in areas like adaptive learning, cognitive augmentation, and decision support.
• Leverage tools such as LLMs, RLHF, vector search, and autonomous agents in exploratory builds.
• Present findings, hypotheses, and experiment results with clarity and critical insight.
• Work through design sprints, ideation workshops, and user scenario testing to refine concept directions.
• Document learnings, edge cases, and future directions for internal knowledge and roadmap development.
  
  

Ideal Background

We welcome applications from students and early-career talent with interdisciplinary interests. Strong candidates will demonstrate a blend of curiosity, experimentation mindset, and technical acumen.

Preferred academic or project experience in one or more of:

• Mathematics or Statistics
• Computer Science or Machine Learning
• Physiology, Behavioral Science, or Cognitive Psychology
• Robotics or Autonomous Systems
• Operations Research or Systems Engineering
• Design Thinking or Systems Design
  
  

What You Bring

• A natural problem solver with a strong sense of curiosity and experimentation.
• Technical exposure to AI/ML frameworks and developer tools (e.g., Python, LangChain, Hugging Face, OpenAI APIs, or similar).
• Comfort navigating ambiguity and formulating testable hypotheses.
• Strong written and verbal communication skills, especially in cross-disciplinary settings.
• A passion for exploring the frontiers of human-machine collaboration.
  
  

Why Join Us

• Work at the intersection of innovation, research, and real-world application.
• Engage in a startup with a runway to shape the future of applied AI.
• Contribute to meaningful experiments with the potential to evolve into scalable products.
• Flexible, remote-first environment with supportive mentorship and learning opportunities.
  
  

Benefits

What We Offer:

Flexible working arrangements

Resources and support for continuous growth. You will have access to platforms and tools that enable you to develop high demand vocational skills, ready to be working with top corporations across industries.

Location: Remote (in-person work days in Newtown, PA; travel as required - paid-for/reimbursed)

Employment Type: Internship (Summer/Fall 2025)

Duration: 4 weeks to first assessment (with potential for extension up to 12 weeks )

Pay: For under grads this is an unpaid internship; For recent Bachelor's graduates or current Master's students $10-$15/hour - 20 hour week internship.

Talent pipeline: We only have two open positions. Top talent who can't be given a job offer will be given an option to join our myndQ.ai talent pipeline for working on our Client initiatives.