Innovate With Us

AI Systems Engineer

About Us

ÆONIS SYSTEMS is looking for an AI Systems Engineer to optimize, deploy, and maintain AI-driven healthcare and education solutions. This role focuses on improving AI performance, scaling model deployment, and ensuring system reliability. The ideal candidate is proficient in AI model optimization, hardware acceleration, and large-scale AI system integration.

Important Note: Until funding is secured, we ask for a commitment of 10-15 hours per month to ensure steady progress while respecting your time and contributions. This role is open to global applicants and can be remote.

Key Responsibilities

  • AI Model Optimization: Enhance processing speed, inference time, and model efficiency for deployment.

  • Scalable AI Deployment: Implement distributed AI computing for cloud and edge computing applications.

  • Hardware Acceleration: Utilize GPUs, TPUs, and specialized AI accelerators for real-time AI applications.

  • System Reliability & Performance Tuning: Optimize AI workflows to reduce latency and improve fault tolerance.

  • Cloud & On-Prem Deployment: Deploy AI models in cloud, hybrid, and on-premise environments.

  • Security & Compliance: Ensure AI systems comply with security, privacy, and regulatory requirements.

  • Collaboration: Work closely with ML engineers, software developers, and DevOps teams to enhance AI performance.

Qualifications

  • Experience: Minimum 3+ years in AI system engineering, ML model deployment, or cloud AI infrastructure.

  • Technical Background: Bachelor’s, Master’s, or PhD in Computer Science, AI, Machine Learning, or a related field.

  • Programming Skills: Proficiency in Python, C++, CUDA, TensorFlow, PyTorch, or ONNX.

  • Hardware Expertise: Experience working with GPUs (NVIDIA CUDA/TensorRT), TPUs, and FPGA-based AI accelerators.

  • Cloud & MLOps: Knowledge of AWS/GCP/Azure AI deployment, Kubernetes, and model serving frameworks (TF Serving, Triton, MLflow).

  • Optimization Techniques: Experience in quantization, pruning, distillation, and hardware-aware training.

  • Security & Compliance: Understanding of AI model security, adversarial robustness, and data privacy standards.

Work Model & Expectations

  • Commitment: 10-15 hours per month.

  • Work Type: Remote

  • Location: Open to global applicants.

  • Compensation: Currently voluntary; early contributors will be prioritized for paid roles once funding is secured

Let’s work together.

If you're passionate about building high-performance AI systems for real-world applications, apply today and help scale AI-driven healthcare and education solutions!