Senior AI DevOps Engineer

Job Description

Senior AI DevOps Engineer
\n Direct Hire (or CTH role)- candidates choice
Location: Boston, MA
\n Schedule- This position is primarily remote with periodic in-person meetings.

US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor (or transfer) H1B candidates at this time. If you need sponsorship now or in the future (OPT, STEM) our client is not able to provide sponsorship.

\n Our direct client is assembling a world-class AI Engineering team to transform operations, drive innovation, and deliver innovative AI applications and agents. This is your chance to work on cutting-edge technologies Agentic AI frameworks, LLMs, RAG, MCP, scalable AI architectures and develop solutions at the forefront of modern artificial intelligence.

You will join as the Senior AI DevOps Specialist where you will ensure the scalable deployment, monitoring, and support of AI applications, agents and models, while also contributing to development efforts in collaboration with other full-stack developers. You will focus on managing infrastructure across on-premises, cloud, and hybrid environments, integrating containerization technologies, and supporting advanced AI workflows.

This position is primarily remote with periodic in-person meetings onsite as a member of the AI Engineering team, you will handle some of the highest priority initiatives. You'll bring your expertise to a vibrant environment that values ingenuity and impact, where your ideas can make a difference on a global scale. Together, we'll deliver AI solutions that not only revolutionize operations but also become models of innovation for institutions worldwide.

Join us to make history, develop transformative technology, and work alongside some of the greatest minds in technology. Be part of the team that will define what's possible in AI. This position is primarily remote with periodic in-person meetings.

You Will:

Deployment of AI Applications, Agents & Related Infrastructure
\n Collaborative Development Support
\n AI Model Management & Fine-Tuning
\n Infrastructure Monitoring & Optimization
\n Security, Compliance, & Continuous Improvement

Required Skills

8+ years of applicable experience.
\n Degree in Computer Science, Software Engineering, Systems Engineering, or related field.
\n Expertise in containerization (Docker, Kubernetes, AWS ECS) and multi-environment deployment (on-premise, cloud, hybrid).
\n Experience with hosting and fine-tuning LLM/SLM models.
\n Development experience in modern programming languages (e.g., Python, JavaScript, or similar) with familiarity in AI technologies and frameworks (e.g., prompt engineering, RAG, embeddings along with more recent innovations like MCP and A2A).
\n Experience with DevOps practices, scalable architectures, and modern security standards.