[Hiring] AI Platform Engineer @Cornelis Networks, Inc.

Role Description

Cornelis Networks is seeking 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. You will help build and expand a private, secure AI platform for our engineering organization, including a growing workforce of AI agents that automate meaningful engineering work.

These capabilities will support engineers working across:

• Software development
• Linux kernel drivers
• Firmware
• Embedded systems
• ASIC development
• Hardware/software integration
• Validation
• High-performance networking

Cornelis Networks has already invested in a working AI platform and initial agent capabilities. You will help take that foundation further by designing, implementing, operating, and continuously improving the tools that enable our engineers to work more effectively.

This is a rare opportunity to help define the future of engineering! The final solution does not yet exist. You will have the opportunity to experiment, learn from results, improve solutions based on feedback, and help establish new engineering practices.

What you will do:

• Own the AI Platform: Own the configuration, tooling, and infrastructure that gives every Cornelis engineer a private, domain-aware AI assistant.
• Build Out the Agent Workforce: Design, implement, and improve a growing workforce of autonomous agents that automate engineering operations.
• Design and Implement New Agents: Take agents from concept to production: FastAPI REST API, CLI interface, and chat integration.
• Maintain and Improve the Infrastructure: Keep the platform running reliably: containerized services on Linux, reverse proxies, systemd timers, PostgreSQL and Redis, secrets management, and enterprise integrations.
• Write and Improve Agent Skills and Prompt Engineering: Author and tune the structured workflows and system instructions that make AI agents useful for deep engineering work.
• Build CI/CD Validation Pipelines: Build and maintain automated validation that catches bad configurations, leaked credentials, and broken agent contracts.
• Manage Cost and Value Across the Platform: Track what the platform costs and what it delivers.
• Track the AI Landscape and Keep the Platform Current: Evaluate what matters, adopt what improves the platform, and upgrade before the team falls behind.

Qualifications

• 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 Model Context Protocol (MCP) clients, servers, tools, or MCP-based workflows.
• Hands-on experience building an AI agent or LLM-powered workflow that performs meaningful work.
• Experience building or integrating a Retrieval-Augmented Generation (RAG) workflow.

Requirements

• Strong candidates will also have experience with several of the following:
• Platform architecture and software-system design
• Shell scripting and automation
• CI/CD pipelines and automated validation
• Docker and/or Podman
• REST API development and integration
• Workflow automation across developer or enterprise systems
• FastAPI or a similar Python web framework
• GitHub, Jira, Confluence, Microsoft Teams, or comparable APIs
• PostgreSQL, Redis, or similar data infrastructure
• Agent evaluation, observability, prompt engineering, or model selection
• Embedded systems, firmware, semiconductors, ASICs, or hardware/software integration
• Developer tools, internal platforms, or inner-source engineering
• Microsoft Teams bot development or Power Automate
• Experience operating production services or internal developer platforms

Benefits

• Competitive compensation package that includes equity, cash, and incentives.
• Health and retirement benefits.
• Generous paid holidays.
• 401(k) with company match.
• Open Time Off (OTO) for regular full-time exempt employees.
• Other paid time off benefits include sick time, bonding leave, and pregnancy disability leave.