AI Engineer Internship - Job Description

Position Overview

We are seeking a motivated and talented AI Engineer Intern to join our dynamic team. This internship opportunity is designed for individuals with foundational experience in Foundation Models (FM), Large Language Models (LLM), Voice AI technologies, and workflow automation platforms like n8n or Zapier. The successful candidate will work on cutting-edge AI projects while gaining hands-on experience in a fast-paced, innovative environment.

Key Responsibilities

AI Model Development & Implementation

• Assist in the development, fine-tuning, and deployment of Foundation Models and Large Language Models
• Support the integration of pre-trained models into production environments
• Participate in model evaluation, testing, and performance optimization
• Contribute to research and experimentation with emerging AI architectures

Voice AI & Conversational Systems

• Work on voice recognition, natural language processing, and text-to-speech implementations
• Assist in developing conversational AI applications and chatbots
• Support the integration of voice AI capabilities into existing systems
• Help optimize voice AI models for accuracy and response time

Automation & Workflow Development

• Create and maintain automated workflows using n8n, Zapier, or similar platforms
• Design and implement AI-powered automation solutions for business processes
• Integrate various APIs and services to create seamless automated workflows
• Document automation processes and maintain workflow efficiency

Data Processing & Analysis

• Assist in data preprocessing, cleaning, and preparation for model training
• Support data pipeline development and maintenance
• Participate in exploratory data analysis and feature engineering
• Help maintain data quality and integrity standards

Required Qualifications

Technical Skills

• Foundation Models & LLMs: Hands-on experience with frameworks like Hugging Face, OpenAI API, or similar platforms
• Programming: Proficiency in Python, with knowledge of AI/ML libraries (TensorFlow, PyTorch, scikit-learn)
• Voice AI: Experience with speech recognition APIs, text-to-speech systems, or audio processing libraries
• Automation Platforms: Practical experience with n8n, Zapier, or similar workflow automation tools
• API Integration: Understanding of RESTful APIs, webhooks, and third-party service integrations

Educational Background

• Currently pursuing or recently completed a degree in Computer Science, AI/ML, Data Science, or related field
• Strong foundation in machine learning concepts and algorithms
• Understanding of neural networks, deep learning, and natural language processing

Soft Skills

• Strong problem-solving and analytical thinking abilities
• Excellent communication and teamwork skills
• Self-motivated with ability to work independently
• Adaptability to learn new technologies quickly
• Attention to detail and commitment to quality

Preferred Qualifications

Advanced Technical Experience

• Experience with vector databases and embedding techniques
• Knowledge of prompt engineering and fine-tuning methodologies
• Familiarity with cloud platforms (AWS, GCP, Azure, Open AI) and their AI services
• Experience with containerization (Docker) and orchestration tools
• Understanding of MLOps practices and model deployment pipelines

Additional Skills

• Experience with version control systems (Git)
• Knowledge of database systems (SQL/NoSQL)
• Familiarity with web development frameworks
• Experience with data visualization tools
• Understanding of AI ethics and responsible AI practices

What We Offer

Learning & Development

• Access to cutting-edge AI tools and technologies
• Opportunity to work on real-world AI projects with business impact
• Regular training sessions and knowledge sharing opportunities

Work Environment

• Flexible remote work arrangement
• Collaborative and inclusive team culture
• Modern development tools and infrastructure
• Regular team events and networking opportunities

Career Growth

• Potential for full-time employment upon successful completion
• Clear career progression pathways
• Exposure to various AI domains and applications
• Networking opportunities within the AI community
• Portfolio development with real-world projects

Application Requirements

Portfolio & Experience

• Portfolio showcasing AI/ML projects, particularly involving LLMs or Voice AI
• Examples of automation workflows created with n8n, Zapier, or similar tools
• GitHub profile with relevant code samples and contributions
• Academic projects or personal initiatives demonstrating AI expertise

Application Materials

• Updated resume highlighting relevant AI/ML experience
• Cover letter explaining interest in AI engineering and this specific role
• Links to portfolio, GitHub, and any published work or research
• References from academic or professional contacts (optional)

Internship Details

Duration & Schedule

• Duration: 3 months (with possibility of extension)
• Schedule: Full-time (40 hours/week) 
• Start Date: Flexible based on candidate availability
• Location: Remote