Staff Platform Engineer – AI Platform

Facility Grid

. Build the internal AI platform, including change-qualification harnesses, progressive rollout, and shared context for engineers’ agents .

Posted 9/18/2026full-timeRemote • Massachusetts • United StatesLead💰 $180,000 - $225,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and owning AI platforms, with a strong focus on proactive operations, reliability, and compliance. Proficient in distributed systems, networking, and cloud technologies, with hands-on coding experience and a forward-looking approach to engineering.

Highest-signal resume keywords

AI Platform DevelopmentDistributed SystemsAWSHands-On Coding ExperienceProactive Operations

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Distributed SystemsNetworkingLinuxAWSAutoscalingQueuesDeploys Under LoadChange QualificationDirected AgentsAnomaly Detection

Soft Skills

OwnershipCuriosityInformed SkepticismStaff-Level AutonomyResponsibility

Tools & Technologies

Claude Code

Industry Keywords

AI ToolsProactive EngineeringComplianceCloud Cost ManagementEphemeral Environments

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsLinux

About the role

Key responsibilities & impact

Build the internal AI platform, including change-qualification harnesses, progressive rollout, and shared context for engineers’ agents
Move operations from reactive to proactive using agents that baseline the system and flag anomalies before paging
Own the production platform and path to production, including ephemeral environments for every merge request
Own reliability, cloud cost, and compliance with measured results
Evaluate and adopt new models, runtimes, and tooling while remaining model-independent
Set the direction for operating software in an agentic world and implement it
Write code daily, primarily through directed agents

Requirements

What you’ll need

Ownership: take problems end to end without waiting to be asked
Own shipped work through production and be accountable for it
Curiosity about code, including application code and infrastructure
Forward-looking, agent-first engineering with tools like Claude Code
Informed skepticism about where AI tools fail
Technical fundamentals in distributed systems, networking, Linux, and AWS
Ability to explain autoscaling, queues, and deploys under load
Ability to understand what a change does to a running system
Hands-on coding experience
Staff-level autonomy and responsibility

Benefits

Comp & perks

Health insurance
Paid time off
Vision insurance
401(k) matching
Bonus based on performance
Dental insurance
Fully remote work
Real autonomy over how you lead and build
Latest models and tooling
Greenfield AI platform to design from the ground up
Full medical and dental benefits