We are hiring: AI Engineer – 05-August-2026 US Remote

Hiring Organization: AIFuse Dynamics

Client ID: 948QMTR

Job ID: 837LKPV

Role Overview

AIFuse Dynamics is seeking a pioneering, highly analytical, and technically brilliant AI Engineer to join our remote-first engineering team. In this full-time role, you will be responsible for designing, training, and deploying advanced machine learning models that solve real-world problems. We value deep understanding of deep learning, data science, and scalable AI infrastructure. Whether you are an experienced machine learning engineer or a talented fresher looking for a supportive environment to launch your career, we offer a research-heavy, mentorship-rich culture where your contributions will directly impact our most critical AI-driven product capabilities.

Key Responsibilities

• Design, train, and validate neural networks and machine learning models for diverse use cases.
• Develop and maintain scalable data pipelines for model training and inference.
• Optimize model performance for production deployment, focusing on latency, throughput, and resource utilization.
• Collaborate with product and engineering teams to integrate AI features into end-user applications.
• Perform cutting-edge research in natural language processing (NLP), computer vision, or reinforcement learning.
• Debug and resolve technical issues in training processes, model drift, and performance bottlenecks.
• Participate in peer code reviews and architectural planning to maintain engineering standards and model quality.
• Contribute to the continuous improvement of internal MLOps workflows, automated training, and testing frameworks.
• Research and implement new AI architecture and techniques to stay at the forefront of the field.
• Document model design, technical specifications, and research findings for knowledge sharing.

Required Qualifications

• Bachelor’s degree in Computer Science, Mathematics, or a related technical field.
• Strong proficiency in Python and deep knowledge of machine learning frameworks (PyTorch, TensorFlow).
• Solid understanding of linear algebra, probability, and statistics.
• Experience with deep learning architectures, such as Transformers or CNNs.
• Familiarity with version control systems like Git.
• Excellent communication skills and the ability to work effectively in a remote, distributed team.
• A proactive, problem-solving mindset and a passion for building AI that impacts users globally.
• Freshers with strong academic foundations in machine learning or impressive project portfolios are encouraged to apply; we provide extensive mentorship.
• Reliable high-speed internet connection for consistent, professional virtual collaboration.

Preferred Skills

• Experience with MLOps (Kubeflow, MLflow, CI/CD for AI).
• Knowledge of large language models (LLMs) and fine-tuning techniques.
• Experience with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
• Familiarity with distributed training and model deployment (Triton, ONNX).
• Experience with database management, big data tools, and data processing workflows.

What We Offer

• Competitive Annual Salary: $294,650.
• 100% remote flexibility from any location in the United States.
• Comprehensive health, dental, and vision insurance packages.
• Retirement savings plan with company matching contributions.
• Generous Paid Time Off (PTO), including holidays and personal wellness days.
• Structured career development, mentorship, and support for professional certifications.
• A highly collaborative, inclusive, and mission-driven engineering culture focused on innovative AI solutions.

Employment Details

Workplace Type: Remote

Location: United States (US)

Job Type: Full-Time

Employment Type: FULL_TIME

Employer Address: 800 AIWay, Suite 200, San Jose, CA 95110

Freshers Can Apply: Yes

Standard Application Notice

AIFuse Dynamics is an equal opportunity employer. We value diversity and are committed to creating an inclusive culture for all employees. All hiring decisions are based on merit, qualifications, and the business needs of the organization. Please submit your application using the form below.