About the Role
This role sits at the center of our team's expansion and will have a direct impact on documentation, processes, and customer relationships. Work will vary from tool evaluation and integration to day-to-day hands-on lab and infrastructure support.
In addition to core engineering responsibilities, this role requires a strong grasp of AI technologies and hands-on proficiency with AI-assisted development tools such as Claude Code. As AI reshapes how engineering work gets done, this engineer will be expected to leverage AI tooling in their own workflows and help drive adoption across the team.
This role will operate as a point of contact for assigned projects, coordinate internal resources, and be supported by supervisors and technical resources. This person must be willing to take direction from leadership while also providing guidance and driving task ownership across team members. Our goal is to build and maintain strong, long-lasting customer relationships.
The position requires 100% onsite work in Redmond WA during core business hours.
What You'll Do
● Serve as the point of contact for assigned projects, coordinating internal resources to deliver results.
● Leverage AI-assisted development tools — including Claude Code — to accelerate engineering workflows, automate repetitive tasks, and improve code quality.
● Evaluate, adapt, and integrate new tools and workflows into RL-R's environment, with a focus on AI-powered capabilities.
● Maintain current knowledge of AI/LLM developments both Meta-internal and industry-wide and apply them to day-to-day engineering work.
● Lead proof-of-concept implementations for new tools and technologies.
● Evaluate potential problems and technical issues; develop and implement solutions.
● Create and maintain documentation, training materials, and best practices guides.
● Communicate with clients to identify and define project requirements, scope, and objectives.
● Ensure compliance with security, privacy, and data handling requirements.
Minimum Qualifications
● Strong technical background in software engineering or a related technical field.
● Strong programming skills with Python (other languages C++, Java, Ruby, etc. are a bonus)
● Hands-on experience with AI-assisted development tools (e.g., Claude Code or similar).
● Demonstrated experience with LLMs, AI/ML tools, and integration patterns.
● Experience with Linux OS (CentOS, Fedora, Ubuntu) and Windows OS.
● Basic network troubleshooting skills.
● Strong oral and written communication skills, experience understanding and communicating technical information to non-experts.
● Experience planning and designing customer solutions.
● Experience running projects from start to finish.
● Ability to occasionally complete repetitive motion by lifting shoulder above head (testing cables in racks)
● Ability to provide own vehicle transportation for travel between support sites
Preferred Qualifications
● 4+ years experience as a Systems Administrator (Windows and/or Linux).
● 2+ years of networking experience and troubleshooting.
● Proficiency with Claude Code — including skills, hooks, MCP servers, and multi-agent workflows.
● Experience with ML frameworks (TensorFlow, PyTorch).
● Experience building MCP (Model Context Protocol) servers or custom tool integrations.
● Experience installing and configuring Kubernetes, Docker, OpenCue, and Slurm.
● Knowledge of network switch CLI and commands.
At Meta, we are constantly iterating, solving problems, and working together to connect people all over the world. That’s why it’s important that our workforce reflects the diversity of the people we serve. Hiring people with different backgrounds and points of view helps us make better decisions, build better products, and create better experiences for everyone.
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