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Genies USA

Genies USA

via LinkedIn

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Backend Engineer (LLM) Intern

Anywhere
Internship
Posted 11/24/2025
Verified Source
Key Skills:
Python
Java
C++
Docker
Kubernetes
AWS
CI/CD
API design
LLM agents
Machine Learning

Compensation

Salary Range

$83K - 104K a year

Responsibilities

Develop and deploy scalable backend AI systems, collaborate with AI experts, and contribute to code quality and documentation.

Requirements

Pursuing or recent CS/Engineering degree, internship experience, strong programming in Python/Java/C++, basic AI/ML knowledge, and preferred experience with LLM systems and cloud deployment.

Full Description

Join Genies as a Backend Software Engineer Intern to develop scalable backend systems for AI-powered 3D avatar experiences. Your Role Here’s what you will be doing: • Develop and deploy LLM agent systems within the AI-powered avatar framework. • Design and implement scalable and efficient backend systems to support AI applications. • Collaborate with AI and NLP experts to integrate LLM and LLM-based systems and algorithms into the avatar ecosystem. • Work with Docker, Kubernetes, and AWS for AI model deployment and scalability. • Contribute to code reviews, debugging, and testing to ensure high-quality deliverables. • Document work for future reference and improvement. • Collaborate with senior engineers and other team members to develop software solutions and troubleshoot issues. About You The company is looking for: • Currently pursuing or recent graduate with a Master’s or Bachelor’s degree in Computer Science, Engineering, Machine Learning, or related field. • Course or internship experience in Operating Systems, Data Structures & Algorithms, Machine Learning. • Strong programming skills in Python, Java, or C++. • Excellent written and verbal communication skills. • Basic understanding of AI/LLM concepts and enthusiasm for learning advanced techniques. • Preferred: Experience building ML/LLM powered software systems. • Preferred: Previous Computer Science/Software Engineering internship experience. • Preferred: Solid understanding of LLM agents, retrieval-augmented generation (RAG), and prompt engineering. • Preferred: Experience with AWS, Docker, Kubernetes, CI/CD pipelines, API design, and schema design. Compensation & Benefits • Salary: $40-$50 per hour. • Flexible hours and hybrid (office + home) work policy. • Flexible paid time off, sick time, paid company holidays, paid parental leave, bereavement leave, and jury duty leave for full-time employees. • Health & wellness support including monthly wellness reimbursement. • Choice of MacBook or Windows laptop. • Startup culture with stability from strong funding. Training & Development • Opportunity to learn and grow with a supportive team. • Support for professional development. This job may close before the stated closing date, you are encouraged to apply as soon as possible Report this job

This job posting was last updated on 11/27/2025

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