AI Platform Engineer
Cornelis Networks, Inc.2 months ago
Remote, WorldwideSenior
Responsibilities
- Own the configuration, tooling, infrastructure, reliability, and domain-specific operation of the private AI platform.
- Design, implement, deploy, and improve autonomous AI agents for engineering operations using APIs, structured workflows, files, databases, and external systems.
- Build FastAPI services, REST APIs, CLI interfaces, and chat integrations, choosing between deterministic logic and LLM-powered workflows based on value and cost.
- Operate and troubleshoot Linux-based containerized services, reverse proxies, systemd timers, PostgreSQL, Redis, secrets management, and enterprise integrations.
- Author and tune agent skills, structured workflows, system instructions, prompt engineering, evaluation, observability, and model-selection strategies.
- Build CI/CD validation pipelines that detect configuration errors, leaked credentials, and broken agent contracts, while reviewing inner-source contributions and enforcing engineering standards.
- Track platform cost and value, evaluate new AI tooling, and provide capability and cost recommendations to engineering leadership.
Requirements
- Bachelor’s or master’s degree 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, with willingness to work in Python.
- Familiarity with 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 Model Context Protocol clients, servers, tools, or workflows.
- Hands-on experience building an AI agent or LLM-powered workflow that performs meaningful work through tools, APIs, structured workflows, files, databases, or external systems.
- Experience building or integrating a retrieval-augmented generation workflow grounded in documentation, code, databases, files, or other authoritative information.
- Preferred experience includes platform architecture, shell scripting, CI/CD, Docker or Podman, REST API development, workflow automation, FastAPI, enterprise APIs, PostgreSQL, Redis, agent evaluation, observability, prompt engineering, model selection, embedded systems, firmware, semiconductors, ASICs, hardware/software integration, developer platforms, Microsoft Teams bots, Power Automate, or production service operations.
- Strong engineering fundamentals, curiosity, sound judgment, implementation ability, and willingness to learn quickly are valued; expertise in every listed technology is not required.
Benefits
- Remote position for employees residing within the United States.
- Competitive compensation package including equity, cash, and incentives; specific base salary amounts are not stated.
- Medical, dental, and vision coverage, plus disability and life insurance.
- Dependent care flexible spending account, accidental injury insurance, and pet insurance.
- Generous paid holidays, 401(k) with company match, and Open Time Off for regular full-time exempt employees.
- Sick time, bonding leave, and pregnancy disability leave.
- Flexible work environment with collaboration across the semiconductor industry.
Tech Stack
Categories