AI Infrastructure Engineer Remote US

This position is posted by Jobgether on behalf of a partner company. We are currently looking for an
**AI Infrastructure Engineer**
in
**the United States**
.


In this role, you will be instrumental in designing and scaling the infrastructure that powers advanced machine learning initiatives. You'll collaborate closely with cross-functional teams to build reliable, high-performance systems that support large-scale AI training and deployment. This position offers the opportunity to shape the foundations of an innovative AI ecosystem, enabling data scientists and ML engineers to move faster, automate processes, and ensure seamless integration from research to production. It's an ideal environment for someone who thrives on solving complex infrastructure challenges in a fast-paced, distributed, and mission-driven organization.


**Accountabilities**

* Design, implement, and maintain scalable, high-performance ML training and inference platforms
* Develop and enhance MLOps tools to enable rapid model deployment and iteration
* Optimize system performance to ensure reliability, cost-efficiency, and scalability of AI workloads
* Collaborate with research and product teams to transition experimental models into production environments
* Establish and enforce best practices for model versioning, testing, monitoring, and governance
* Automate data and model pipelines to accelerate experimentation and reduce manual intervention

**Requirements**

* 3+ years of experience in software engineering or ML infrastructure roles, focusing on distributed systems or MLOps
* Proficiency in Python (or similar), Docker, Kubernetes, and CI/CD pipelines
* Strong experience with major cloud platforms (AWS, GCP, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation)
* Familiarity with ML frameworks such as TensorFlow, PyTorch, and orchestration tools like Kubeflow, Airflow, or MLflow
* Deep understanding of model deployment, real-time inference, and scalable data pipelines
* Strong collaboration and communication skills across technical and non-technical teams
* Bonus: Experience with GPU optimization, vector databases, feature stores, or real-time audio/streaming systems

**Benefits**

* Competitive compensation package ($140,000-$200,000 base salary + bonus + equity)
* 100% remote and asynchronous work culture promoting flexibility and autonomy
* Opportunity to shape cutting-edge AI infrastructure in a fast-evolving domain
* Dynamic, mission-driven team that values innovation, creativity, and impact
* Inclusive work environment that celebrates diversity and equal opportunity
* The chance to contribute to technology that enhances accessibility and learning for millions

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.


When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.


🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.


📊 It compares your profile to the job's core requirements and past success factors to determine your match score.


🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.


🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.


The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then handled by their internal hiring team.


**Thank you for your interest!**