Staff AI Corporate Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $191k - $285k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Laurel

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

⚡ Productivity

☁️ SaaS

Productivity • SaaS

Laurel is a company that offers a digital timekeeping solution, enabling users to manage and track their time efficiently. The platform provides a streamlined timekeeping experience through an easy-to-use interface, accessible via signing into their service.

📋 Description

• Design, build, and maintain Laurel’s internal developer platform for creating, testing, and publishing AI agents and automated workflows • Develop self-service tooling, templates, and scaffolding for non-engineering teams to deploy AI-powered applications safely • Own CI/CD pipelines for AI agent delivery and build hosting infrastructure for AI-generated and AI-assisted web pages and internal portals • Establish guardrails for model access, data handling, prompt safety, and output validation • Advise and educate internal teams on responsible AI integration and maintain the AI standards playbook • Operate the central AI infrastructure layer, including usage dashboards, spend tracking, budget alerting, model configurations, API gateway settings, rate limits, and version management • Implement observability tooling with logging, tracing, and cost attribution for AI workloads • Evaluate and onboard AI models, tools, and providers from pilot through production • Design and maintain the MCP server ecosystem for structured tool use and agent-to-service integrations • Partner with business units to identify AI automation opportunities and translate them into production-ready tooling • Provide technical support, documentation, training, runbooks, and onboarding guides to internal AI platform users

🎯 Requirements

• 3–6 years of software engineering experience in a corporate or enterprise environment • Hands-on experience with Claude, OpenAI Codex / GPT APIs, AI agent frameworks, and/or MCP integrations • Proficiency building and operating internal developer platforms, software factories, or CI/CD infrastructure • Experience with AWS, Azure, or GCP • Experience with Kubernetes and/or Docker • Experience with Terraform or similar infrastructure-as-code tools • Understanding of API gateway patterns, rate limiting, OAuth2, API keys, and RBAC • Ability to translate security, compliance, and policy requirements into technical controls • Strong written and verbal communication skills for documentation and presenting technical concepts to non-technical stakeholders • Preferred: Anthropic Claude APIs, Claude.ai for Teams/Enterprise, or Claude-powered agents • Preferred: MCP server development and agentic tool-use integration patterns • Preferred: AI model lifecycle management, including fine-tuning, evaluation, versioning, and rollback strategies • Preferred: Datadog, Grafana, or OpenTelemetry observability stacks for LLM/AI services • Preferred: Internal platform or DevOps experience supporting developer communities • Working knowledge of or willingness to rapidly develop expertise in Claude, MCP, OpenAI Codex / GPT APIs, AI agents and orchestration, and OpenClaw • Legal authorization to work in the United States • Laurel is unable to support visa sponsorship or relocation assistance

🏖️ Benefits

• Equity • 401K • Health and wellness programs • Paid time off • Retirement planning options • Bi-annual, in-person company off-sites • Inclusive and collaborative team environment • No visa sponsorship or relocation assistance