Remote Artificial Intelligence Engineer for Residents of the United States – Shape the Future of Generative AI

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Join a cutting-edge innovation hub where you will architect the next generation of autonomous systems and LLM integrations. We are seeking a visionary AI Engineer to lead our remote technical team in deploying scalable, high-impact machine learning solutions that redefine industry standards.

About the Role

As a Remote Artificial Intelligence Engineer at NexaCore Systems, you won’t just be writing code; you will be building the brain of our enterprise ecosystem. We are looking for a specialist who thrives at the intersection of mathematical rigor and creative software engineering. In this role, you will be responsible for designing, developing, and deploying sophisticated AI models that solve complex real-world problems, ranging from predictive analytics to advanced natural language processing.

You will work in a fully distributed environment, collaborating with global experts via asynchronous workflows and high-bandwidth communication tools. Your primary objective will be to transition experimental prototypes into production-ready AI services that can handle millions of requests with low latency and high reliability.

Estimated Salary Range

$145,000 – $210,000 USD per year (Depending on experience and technical proficiency)

What You Will Do

Your daily impact will be measured by the efficiency and intelligence of the systems you build. Key responsibilities include:

• Model Architecture: Design and implement state-of-the-art neural networks and deep learning models using frameworks like PyTorch and TensorFlow.
• LLM Optimization: Fine-tune Large Language Models (LLMs) using techniques such as RAG (Retrieval-Augmented Generation) and PEFT to enhance accuracy and domain-specific knowledge.
• Pipeline Engineering: Build robust data pipelines to preprocess massive datasets, ensuring high data quality and integrity for model training.
• Deployment & Scaling: Deploy models into cloud environments (AWS/Azure/GCP) using Docker and Kubernetes to ensure seamless scalability.
• Collaboration: Partner with product managers and UX designers to translate business requirements into technical AI specifications.

Technical Requirements

To excel in this remote position, you must possess a blend of academic knowledge and hands-on engineering experience:

Core Competencies

• Programming Mastery: Expert-level proficiency in Python and C++, with a deep understanding of asynchronous programming and memory management.
• AI Frameworks: Proven experience with PyTorch, TensorFlow, JAX, or Hugging Face Transformers.
• Mathematics: A strong foundation in linear algebra, calculus, probability, and statistics.
• Cloud Infrastructure: Experience managing GPU clusters and deploying models via FastAPI or Flask in a cloud-native environment.

Experience & Education

• A Bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field (PhD preferred).
• Minimum of 3+ years of professional experience shipping AI products to production.
• A portfolio of projects or GitHub contributions demonstrating your ability to implement complex AI papers into working code.

Why Join NexaCore Systems?

We believe that the best talent isn’t confined to a single zip code. By joining our 100% remote workforce, you gain the freedom to design your ideal workday while working on some of the most challenging problems in the AI space.

World-Class Benefits

• Full Remote Flexibility: Work from anywhere in the United States with a flexible schedule that respects your work-life balance.
• Home Office Stipend: A generous one-time allowance to build your dream workstation, including high-end monitors and ergonomic furniture.
• Continuous Learning: Annual budget for certifications, research papers, and attendance at global AI conferences like NeurIPS or ICML.
• Equity & Ownership: Competitive stock option packages that allow you to share in the company’s long-term growth.
• Health & Wellness: Premium medical, dental, and vision insurance, along with a monthly wellness stipend for mental health and fitness.

Our Tech Stack

You will be working with a modern, high-performance stack designed for speed and scale: Python, PyTorch, Kubernetes, PostgreSQL, Redis, and AWS SageMaker. We prioritize clean code, rigorous version control via Git, and a culture of peer-reviewed pull requests to ensure the highest quality of engineering.

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