
Ai Infrastructure Engineer
4 weeks ago
**About Us**
At Servable, we empower enterprises to adopt AI securely and efficiently with our all-in-one platform for deploying, fine-tuning, and serving large language models (LLMs). Our platform is designed to provide enterprise-grade security, scalability, and performance, making AI adoption seamless for industries like finance, telecom, and healthcare. We are now seeking an AI Infrastructure Engineer to join our team and play a key role in building and optimizing the infrastructure that powers our platform.
**Role Overview**
As an AI Infrastructure Engineer, you will design, implement, and maintain the infrastructure that supports our AI platform. This role focuses on the backend systems, cloud infrastructure, and DevOps pipelines needed to ensure the scalability, security, and reliability of our solutions. You’ll work across engineering and machine learning teams to deliver an efficient and seamless environment for model deployment, fine-tuning, and serving.
**Key Responsibilities**
**Infrastructure Design & Management**:
- Architect and manage scalable, high-performance infrastructure to support LLM inference and fine-tuning workloads.
- Optimize compute resource allocation for cost-effective AI model deployment and serving.
- Build and maintain multi-cloud deployments for AI workflows, ensuring seamless interoperability across platforms like AWS, Azure, and GCP.
**DevOps**:
- Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC) tools like Terraform or Ansible.
**System Performance & Reliability**:
- Monitor, troubleshoot, and optimize system performance to ensure low-latency, high-throughput AI deployments.
- Implement robust fault-tolerant systems to minimize downtime and improve reliability.
**Collaboration**:
- Work closely with Applied AI Engineers, Software Engineers, and Product Managers to align infrastructure with platform requirements.
- Support the engineering team by setting up and maintaining development and testing environments.
**Security & Compliance**:
- Implement best practices for securing AI systems and infrastructure to meet enterprise-grade security requirements.
- Ensure compliance with industry regulations and standards for data protection and privacy.
**Innovation**:
- Evaluate and adopt emerging tools and technologies to enhance the performance, scalability, and reliability of our platform.
**What We’re Looking For**
**Must-Have**:
- 2+ years of experience in cloud infrastructure, DevOps, or a similar role.
- **Strong experience with cloud platforms (AWS, Azure, or GCP) and container orchestration (Kubernetes).**:
- **Proficiency with IaC tools such as Terraform, Ansible, or CloudFormation.**:
- Hands-on experience with CI/CD pipelines and automation tools like Jenkins, GitLab CI/CD, or GitHub Actions.
- Strong understanding of distributed systems and high-performance computing.
- Familiarity with monitoring tools like Prometheus, Grafana, or CloudWatch.
- Solid scripting skills in Python, Bash, or similar languages.
- Ability to work in a fast-paced startup environment and manage multiple priorities.
**Nice-to-Have**:
- Experience with AI/ML workloads, particularly LLM inference or fine-tuning pipelines.
- Familiarity with inference runtimes like vLLM, and TensoRT-LLM.
- Background in building secure, compliant systems for regulated industries.
- Knowledge of networking, load balancing, and API gateways (e.g., Kong, NGINX).
- Experience with hybrid cloud or on-premises AI infrastructure setups.
**Why Join Us?**
- **Cutting-Edge Work**: Tackle challenging AI problems and build impactful solutions for global enterprises.
- **Innovation**: Work on state-of-the-art AI technologies in a fast-growing, dynamic environment.
- **Ownership**: Play a critical role in shaping the technical foundation of our platform.
- **Collaboration**: Join a talented team dedicated to solving real-world problems with AI.
- **Competitive Compensation**: Competitive salary, equity options, and opportunities for professional development.
Ability to commute/relocate:
- Manama: Reliably commute or planning to relocate before starting work (preferred)
**Education**:
- Bachelor's (preferred)
**Experience**:
- programming: 1 year (preferred)
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