What are the responsibilities and job description for the DevOps AI Cloud Engineer / Onsite in Raleigh, NC position at Motion Recruitment Partners, LLC?
This Raleigh-based organization is seeking a Hybrid AI Cloud Engineer (DevOps-focused) to join a small but rapidly growing team, working onsite 3 days per week. This role blends modern DevOps practices with cutting-edge Generative AI, leveraging technologies such as AWS, Terraform, Kubernetes (EKS), Jenkins CI/CD, and Amazon Bedrock. The position is ideal for a mid-level engineer who is eager to deepen their experience in AI infrastructure while contributing to a highly impactful platform buildout.
This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization's cloud and AI strategy from the ground up. The engineer in this role will drive real innovation-building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience
Tech Breakdown
This is a unique opportunity to work directly alongside early AI/ML hires, helping shape the organization's cloud and AI strategy from the ground up. The engineer in this role will drive real innovation-building scalable systems that operationalize AI, integrating LLMs into production environments, and enabling automation across the business. Strong learning agility, curiosity around AI tooling, and a hands-on mindset will set candidates apart. Required Skills & Experience
- 3-6 years of experience in DevOps, Cloud Engineering, or similar
- Strong experience with AWS cloud services
- Infrastructure as Code expertise with Terraform
- Experience with containerization (Docker) and orchestration via Kubernetes / EKS
- CI/CD pipeline experience, preferably with Jenkins
- Hands-on exposure to Generative AI tools (e.g., Amazon Bedrock, OpenAI APIs, or similar)
- Experience working with or integrating Large Language Models (LLMs)
- Ability to deploy, manage, and scale cloud-native systems
- Strong understanding of system reliability, monitoring, and automation
- Solid communication skills and ability to work in a collaborative team environment
- Experience building or contributing to MLOps platforms or AI infrastructure
- Exposure to AI governance, compliance, or regulatory frameworks
- Familiarity with Python or similar scripting languages for automation
- Experience building or deploying AI agents or GenAI-based applications
- Knowledge of security best practices in cloud and AI environments
- Startup or early-stage team experience (comfort with ambiguity and rapid change)
Tech Breakdown
- 60% DevOps / Cloud Infrastructure (AWS, Terraform, Kubernetes, CI/CD)
- 40% AI/ML Integration & Platform Development (Bedrock, LLMs, GenAI tools)
- 40% Designing and building scalable AI platform infrastructure
- 30% Implementing and optimizing CI/CD pipelines and cloud environments
- 20% Integrating and deploying AI/GenAI solutions and LLM-based applications
- 10% Staying current with AI regulations, governance, and best practices
- 15% annual bonus
- Hybrid work model (Raleigh - onsite 3 days/week)
- Opportunity to join a growing AI-focused team at an early stage
- Work on high-impact, cutting-edge AI and cloud initiatives
Salary : $125,000 - $130,000