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About the Role

This role involves building and expanding a private, secure AI platform for the engineering organization, including AI agents that automate engineering work. You will help shape how the engineering organization uses AI to design, develop, validate, and support advanced networking products.

Responsibilities

• Own the configuration, tooling, and infrastructure for the AI platform.
• Design, implement, and improve autonomous agents that automate engineering operations.
• Take agents from concept to production, including FastAPI REST API, CLI interface, and chat integration.
• Maintain and improve the platform infrastructure, including containerized services on Linux, reverse proxies, systemd timers, PostgreSQL and Redis, secrets management, and enterprise integrations.
• Author and tune structured workflows and system instructions for AI agents.
• Build and maintain automated validation pipelines for configurations, credentials, and agent contracts.
• Track platform costs and value, making decisions about model selection and token usage.
• Evaluate and adopt new AI tooling to keep the platform current.

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.
• Familiarity with software development fundamentals, including version control, testing, debugging, and code review.
• 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.
• Hands-on experience building an AI agent or LLM-powered workflow that performs meaningful work using tools, APIs, structured workflows, files, databases, or external systems.
• Experience building or integrating a RAG workflow that grounds model output in documentation, code, databases, files, or other authoritative information.

Skills

• Python
• Linux
• Model Context Protocol (MCP)
• AI Agent Development
• Retrieval-Augmented Generation (RAG)
• Platform architecture
• Software-system design
• Shell scripting
• Automation
• CI/CD pipelines
• Automated validation
• Docker
• Podman
• REST API development
• Workflow automation
• FastAPI
• GitHub
• Jira
• Confluence
• Microsoft Teams
• PostgreSQL
• Redis
• Agent evaluation
• Observability
• Prompt engineering
• Model selection
• Embedded systems
• Firmware
• Semiconductors
• ASICs
• Hardware/software integration
• Developer tools
• Internal platforms
• Inner-source engineering
• Microsoft Teams bot development
• Power Automate

Location

• Remote (United States)

Work Type

• Remote
• Onsite
• Hybrid

Experience Level

• Equivalent practical experience

Education Level

• B.S. or M.S. in Computer Science, Engineering, or a related discipline

Benefits

• Equity
• Cash
• Incentives
• Health coverage
• Retirement benefits
• Medical coverage
• Dental coverage
• Vision coverage
• Disability insurance
• Life insurance
• Dependent care flexible spending account
• Accidental injury insurance
• Pet insurance
• Generous paid holidays
• 401(k) with company match
• Open Time Off (OTO)
• Sick time
• Bonding leave
• Pregnancy disability leave

About the Company

• Cornelis Networks delivers high-performance scale-out networking solutions for AI and HPC datacenters.
• Our differentiated architecture integrates hardware, software, and system-level technologies to maximize the efficiency of GPU, CPU, and accelerator-based compute clusters at scale.
• Our solutions help customers push the boundaries of AI and HPC by eliminating bottlenecks and enabling massive-scale training, inference, simulation, and data-intensive workloads.
• We are a fast-growing team of architects, engineers, and business professionals with a proven track record of building successful products and companies.
• As a global organization, our team spans multiple U.S. states and six countries, and we continue to expand with exceptional talent in onsite, hybrid, and remote roles.

Equal Opportunity

• Cornelis Networks is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
• We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.