AI Platform Engineer

Job not on LinkedIn

🔥 9 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
• Jobs at this company usually fill in 47 days.
• No salary listed.

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Polygon Labs

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

📣 Marketing

📱 Media

Consulting • Marketing • Media

Polygon Labs is a creative services and software solutions studio specializing in data and content visualization for the media industry. The company has been involved in various high-profile projects, such as Univision's Destino 2020 Elections AR Graphics, Cheddar TV's interactive US Elections storytelling, and automated weather graphics for RT America. As a part of disguise. one, they work on delivering engaging experiences and support for clients like CNN, Verizon Media, and Engadget. Their focus is on producing interactive and innovative media content.

📋 Description

• Move agentic workflows into production, taking prototypes to robust systems for real users and owners, with SLAs • Build and manage MCP servers, including system design, hosting, security, authentication, and connector inventory • Develop autonomous agents that act and plan across tools through trust stages • Embed guardrails into the platform, including agent identities, scoped credentials, audit logs, CI checks, approval gates, allowlists, and least-privilege access • Build evaluation frameworks with test sets, regression suites, live scoring, and business-outcome quality metrics • Instrument agents for tracing, logging, latency, cost, drift detection, and dashboards • Track AI spend across providers, setting budgets, alerts, and spend attribution • Support Operators through feature development, documentation, enablement sessions, and self-service tools • Create and maintain reusable skills and plugins containing company knowledge • Identify and automate manual, repetitive processes across the company • Communicate technical concepts to executives and subject-matter experts • Write specifications, break down projects, ship and iterate independently • Pilot, monitor, fix, and iterate on outcomes after merge • Create reusable assets and make them broadly accessible across the company

🎯 Requirements

• 5+ years as a software, platform, or infrastructure engineer, including experience prior to AI coding tools • Solid grasp of system design, data modeling, testing, debugging, and code review • 6-12 months shipping LLM-based systems to production, with agentic workflows in use by real end users • Daily, hands-on experience with AI coding agents like Claude Code and Codex to write, test, and review production code • Experience building autonomous or multi-step agents with tool use (Claude Agent SDK, Anthropic/OpenAI APIs, or similar) • MCP server experience (OAuth flows, scoped tokens, user-level access control) • Identity and access experience: Okta (or similar IdP), SSO (SAML/OIDC), SCIM provisioning, group-based and device policies • Creating automated system identities (GitHub Apps, service accounts, API keys, secret managers like 1Password) • Designing guardrails: least-privilege, audit logs, CI checks, approval gates, allowlists, and policy-as-code • Creating evals for LLM systems: test sets, rubrics, CI regression, release gates, and live production scoring • Instrumenting production system observability: tracing, metrics, alerting, dashboards (OpenTelemetry, Grafana, Datadog, Langfuse, LangSmith, Braintrust) • Tracking AI spend across vendors: per-key limits, cost centers, budgets, actionable alerts • Strong in at least one of TypeScript, Python, Go; working knowledge of CI/CD (GitHub Actions/etc), cloud infrastructure • Track record of independently identifying and automating manual processes (two or three concrete examples) • Clear, concise written communication (specs, runbooks, RFCs) • Cryptocurrency, blockchain, payments, or fintech experience preferred (regulated industry/audit a plus) • Experience writing agent skills, plugins, or shared prompt libraries for organizational reuse preferred • Familiarity with model gateways (OpenRouter, LiteLLM, Portkey) preferred • Experience extending open-source coding agents (OpenCode, Pi) preferred • Awareness of emerging agent identity standards preferred • Context/retrieval engineering preferred • ML engineering preferred • Experience with agent runtimes/sandboxes preferred • Public technical work preferred

🏖️ Benefits

• Remote first global workforce • Industry leading Medical, Dental and Vision health insurance* • Company matching 401k with 3% match* • $1,500 Home Office Set Up Allowance (life-time max) • $200 Annual Book Allowance Program • $75 Monthly internet or phone reimbursement • Flexible Time Off • Company issued laptop • Egg freezing, mental health, and employee wellness benefits

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