AI Platform Engineer
Cornelis Networks, Inc.3 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
About Cornelis Networks, Inc.
Cornelis Networks builds high-performance, lossless scale-out interconnects for AI and HPC data centers, combining network adapters, switches, and fabric management software. Its products, based on the Omni-Path architecture, aim to accelerate GPU-, CPU-, and accelerator-based clusters for enterprises and research institutions. Founded in 2020 and headquartered in Wayne, PA, the company is privately held and sells hardware, software, and support to operators of large compute infrastructures.