AI & LLM Engineering Internship

Qualifications

• Target Applicants: Master’s Students OR Bachelor’s Students with Demonstrated Hands-on Experience
• Fine-tuning using LoRA/eLoRA
• Agentic AI architecture using Lang Chain/Lang Graph
• Observability and tracing using Lang Fuse
• Python Engineering
• 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
• Proficiency in Python
• Experience with LLMs and/or fine-tuning techniques
• Understanding of RAG pipelines, vector databases, or Langhian
• This project will assess practical engineering capability and problem-solving skills

Benefits

• RAG (Retrieval-Augmented Generation) systems
• 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

Responsibilities

• 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
• Prompt strategy and chain-of-thought optimization
• Connector and pipeline implementation
• Building microservices for agent orchestration
• Integration with backend components
• Shortlisted candidates will be given a real-world project to complete within 3 days

Full Description

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