LLM & Agentic AI Infrastructure Engineer

Stellar Cyber; Oregon; Hybrid; USD 150,000 - 215,000; Full time

Benefits offered by this job

Pre-IPO Stock Options

Medical, Dental & Vision care

401(k)

Employee Assistance Program

Employee Discount Program

Life Insurance

Paid time off

Referral Program

Rewards and Recognition Program

Job summary

Stellar Cyber is seeking a Machine Learning Infrastructure Engineer to design and build Agentic AI frameworks powering autonomous SOC capabilities on the Open XDR platform. You will craft scalable LLM inference infrastructure and MCP servers, enabling robust agent operations across SecOps environments.

The role requires strong backend experience, cloud deployment, and collaboration with ML researchers and product teams to ensure infrastructure meets evolving security product demands.

Qualifications

• Bachelor's or Master's degree in Computer Science or a related field, or equivalent practical experience.
• 2 years of software development experience or 1 year with an advanced degree.
• 2 years of data structures or algorithms experience.
• 2 years of backend infrastructure, distributed systems, APIs (REST/gRPC), and microservices for MLOps projects.
• Experience with Docker, Kubernetes, and cloud-based deployment.

Responsibilities

• Design and build Agentic AI frameworks to orchestrate LLM-based agents for SecOps tasks on Open XDR platform.
• Develop scalable LLM inference infrastructure for cost-efficient serving and resource management.
• Create MCP servers that interact with Open XDR services and LLM-based agents.
• Develop API services for Autonomous SOC applications to support agent operations.
• Collaborate with ML researchers, UI/backend/infrastructure engineers, and product management to align infrastructure with product needs.

Skills

Python

Go

Java

Distributed systems

MLOps

Cloud computing

Education

Bachelor's or Master's in CS or related field

Tools

Docker

Kubernetes

LLM frameworks

LangChain

REST/gRPC

Job description

Stellar Cyber is seeking a Machine Learning Infrastructure Engineer to design and build Agentic AI frameworks powering autonomous SOC capabilities on the Open XDR platform. You will craft scalable LLM inference infrastructure and MCP servers, enabling robust agent operations across SecOps environments.

The role requires strong backend experience, cloud deployment, and collaboration with ML researchers and product teams to ensure infrastructure meets evolving security product demands.