AI Platform Engineer

About the role

Cornelis Networks seeks an AI Platform Engineer to help shape how our engineering organization uses AI to design, develop, validate, and support advanced networking products. This is an emerging role at the intersection of software engineering, developer platforms, infrastructure, workflow automation, and applied AI.

Responsibilities

• Own the AI Platform: Configure, tool, and operate infrastructure for every Cornelis engineer’s private, domain-aware AI assistant. Ensure it is current, reliable, and tailored to specific technical domains like drivers, firmware, ASIC register maps, and hardware/software integration.

• Build Out the Agent Workforce: Design, implement, and improve a growing workforce of autonomous agents that automate engineering operations. Identify high-value automation opportunities, define agent behavior, and build to platform standards.

• Maintain and Improve the Infrastructure: Keep the platform running reliably, manage deployments, and harden it as it grows. Debug infrastructure issues and write automated validation to catch errors before they impact production.

• Write and Improve Agent Skills and Prompt Engineering: Author and tune structured workflows and system instructions to make AI agents useful for deep engineering work. Ensure reliability and groundedness in production.

• Lead the Inner-Source Contribution Process: Review PRs from engineers across teams, enforce standards, and ensure new additions are robust and cost-effective.

• Manage Cost and Value Across the Platform: Track platform costs and value, make decisions about model selection, token usage, and tool choice, and report on platform performance to engineering leadership.

• Evaluate and Adopt New Technologies: Stay updated on the AI landscape and recommend improvements to the platform. Upgrade the platform before falling behind the latest trends.

Requirements

• B.S. or M.S. in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• Experience building software, applications, scripts, or services in Python or a comparable general-purpose programming language.
• Practical experience developing, deploying, operating, or troubleshooting software in a Linux environment.
• Hands-on experience implementing, integrating, extending, or operating MCP clients, servers, tools, or MCP-based workflows.
• Experience building or integrating an RAG workflow that grounds model output in authoritative information.

Preferred Qualifications

• Experience with shell scripting and automation.
• Experience with CI/CD pipelines and automated validation.
• Experience with Docker and/or Podman.
• Experience with REST API development and integration.
• Experience with workflow automation across developer or enterprise systems.
• Experience with FastAPI or a similar Python web framework.
• Experience with GitHub, Jira, Confluence, Microsoft Teams, or comparable APIs.
• Experience with PostgreSQL, Redis, or similar data infrastructure.
• Experience with agent evaluation, observability, prompt engineering, or model selection.
• Experience with embedded systems, firmware, semiconductors, ASICs, or hardware/software integration.
• Experience with developer tools, internal platforms, or inner-source engineering.
• Experience with Microsoft Teams bot development or Power Automate.

Qualifications

• Strong fundamentals in software development, Linux, and AI.
• Ability to learn quickly and apply new technologies to real-world problems.
• Curiosity and a growth mindset to explore new areas of engineering.

Benefits

• Competitive compensation package including equity, cash, and incentives.
• Health and retirement benefits.
• Dynamic, flexible work environment with collaboration opportunities.
• Unlimited paid time off (OTO).
• Open Time Off (OTO) for regular full-time exempt employees.
• Additional benefits such as medical, dental, vision coverage, disability, life insurance, and pet insurance.

Pay

Base salary is determined by factors such as skills, qualifications, experience, and location relative to the hiring range for the position.

Schedule

This is a remote position for employees residing within the United States.