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Salary
$127k – $238k per year (Estimated)
Location
Remote/Hybrid (United States)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Minted is a leading online marketplace for custom-designed stationery and home decor. Our platform connects customers with independent designers from around the world. With Minted, you can: * **Create personalized stationery, such as invitations, save-the-dates, and thank you cards** * **Design custom home decor, such as art prints, throw pillows, and mugs** * **Shop from a curated selection of independent designers** * **Get your designs printed and shipped directly to your door** Minted is the perfect place to find unique and personalized gifts for any occasion.

Your role:

We are seeking an innovative AI & Automation Engineer to design and implement AI-driven automations and internal copilots that optimize workflows across our organization. This role combines cutting-edge generative AI technologies with practical automation engineering to transform how our teams work.

You'll build intelligent assistants that serve HR, Finance, Operations, and other departments, while integrating LLM-based solutions into our corporate tools and infrastructure. The ideal candidate brings hands-on AI platform experience combined with a strong foundation in workflow automation and systems integration.

You will manage:

  • AI Solution Development
  • Design, build, and maintain AI assistants and copilots for HR, Finance, Operations, and other business units
  • Develop custom AI agents for task automation using APIs, middleware, and modern AI frameworks
  • Implement prompt engineering strategies and agentic design patterns for optimal AI performance
  • Integrate generative AI capabilities into service desk ticketing, employee onboarding, and knowledge base systems
  • Automation & Integration
  • Create end-to-end automated workflows that reduce manual tasks and improve efficiency
  • Build and maintain integrations between AI platforms and corporate systems (Okta, HRIS, ticketing, collaboration tools)
  • Develop APIs and middleware solutions to enable seamless data flow between systems
  • Design scalable automation architectures that can grow with organizational needs
  • Performance & Governance
  • Measure and report on automation ROI, adoption metrics, and user satisfaction
  • Partner with IT Operations and Security teams to ensure compliant, secure AI deployments
  • Establish best practices for AI governance, data privacy, and ethical AI use
  • Continuously optimize existing automations based on usage patterns and feedback
  • Collaboration & Innovation
  • Work cross-functionally with department leaders to identify automation opportunities
  • Document AI solutions, workflows, and technical specifications
  • Stay current with emerging AI technologies and automation platforms
  • Provide guidance and training to teams adopting AI-assisted workflows

You have:

  • 1-2 years of hands-on experience with AI platforms (OpenAI, Anthropic, Google AI, Azure OpenAI, or similar)
  • 3-5 years of experience in workflow automation, process automation, or data engineering
  • Proven track record of building and deploying production automation solutions
  • AI & LLMs: Practical experience with large language models, prompt engineering, RAG (Retrieval-Augmented Generation), and agentic AI patterns
  • Programming: Proficiency in Python, JavaScript, or TypeScript for automation and integration development
  • Automation Platforms: Hands-on experience with workflow automation tools such as Okta Workflows, Zapier, Make.com, n8n, or similar platforms
  • API Development: Strong understanding of RESTful APIs, webhooks, and API integration patterns
  • Tools: Experience with Postman, version control (Git), and modern development workflows
  • Experience with enterprise AI platforms (Microsoft Copilot Studio, Salesforce Einstein, ServiceNow AI)
  • Familiarity with vector databases and semantic search technologies
  • Knowledge of identity and access management systems (Okta, Azure AD)
  • Experience with cloud platforms (AWS, Azure, GCP) and serverless architectures
  • Understanding of IT security and compliance frameworks
  • Background in DevOps practices and CI/CD pipelines
  • Experience with data visualization and reporting tools
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