Skills

Python Problem-solving Architecture Databases Microservices

Job Specifications

AI & LLM Engineering Intern (Unpaid | Full-Time Conversion Opportunity)

Location: Preferred - Atlanta, GA | Remote Candidates Considered

Duration: 4 to 6 Months

Target Applicants: Master's Students OR Bachelor's Students with Demonstrated Hands-on Experience.

About Us: We are an established high-performance low-code integration platform with active enterprise customers, now expanding into an AI-native phase. Our goal is to empower users to build complex integrations and automations using natural language, powered by LLMs, RAG systems, and AI agents.

What You Will Work On:

You will be directly contributing to the development of:

AI Copilot for integration generation using natural language
Autonomous AI Agents for: Building workflows, Triaging and fixing integration issues, Reviewing and optimizing logic.
Connectors to external systems (APIs, cloud services, enterprise applications, database platforms, etc.)
MCP Server for AI-native connectivity, enabling agent-based execution and orchestration.

Core Technical Areas:

LLM & Model Engineering

Fine-tuning using LoRA/eLoRA
Prompt strategy and chain-of-thought optimization
Domain model specialization

AI Infrastructure

RAG (Retrieval-Augmented Generation) systems
Agentic AI architecture using Lang Chain/Lang Graph
Observability and tracing using Lang Fuse

Python Engineering

Connector and pipeline implementation
Building microservices for agent orchestration
Integration with backend components

Education:

Currently pursuing a Master's degree in Computer Science, AI/ML, or related field
Bachelor's students may apply only with demonstrated real-world experience in AI/ML, LLMs, or agents

Required Technical Skills:

Proficiency in Python
Experience with LLMs and/or fine-tuning techniques
Understanding of RAG pipelines, vector databases, or Langhian.

Preferred Skills:

Experience building API-based connectors
Knowledge of MCP, Lang Graph, or AI agent orchestration
Familiarity with deploying AI models in real applications

Selection Process:

Initial Technical Interview
Deep Technical Discussion (LLMs / RAG / Agents)
Shortlisted candidates will be given a real-world project to complete within 3 days

This project will assess practical engineering capability and problem-solving skills.

Why This Is a Unique Opportunity:

Work on a live platform with real customers
Build AI-native infrastructure that goes beyond typical internship projects
Mentorship from experienced engineers
Top-performing candidates will be offered paid full-time roles

About the Company

iVoyant is a technology and digital solutions company helping enterprises re-imagine and transform their business to thrive in the current digital era. iVoyant is a team of consultants and software engineers who blend the concepts of human-centric design, user experience and modern engineering capabilities to help enterprises innovate and realize business value. iVoyant is headquartered in one of the largest technology hubs in Atlanta, Georgia. In addition, iVoyant has offices in Bangalore, India and Nairobi, Kenya. These l... Know more