Lead AI Engineer

Accountabilities

• • Design and build the core architecture for an enterprise-grade workflow automation platform, establishing scalable patterns, APIs, integrations, and workflow engines.
  • Make independent decisions around technology stacks, architecture, implementation approaches, and engineering practices while constructively challenging assumptions when appropriate.
  • Deploy solutions virtually or onsite within customer organizations across the United States, adapting to varying technical environments and business requirements.
  • Lead discovery sessions with customers to understand workflows, operational challenges, technical requirements, and opportunities for automation.
  • Rapidly prototype and develop customized enterprise solutions that address customer needs while maintaining appropriate standards for scalability, reliability, and security.
  • Integrate generative AI capabilities into workflows and applications to improve automation, efficiency, and measurable customer outcomes.
  • Serve as a senior technical representative during customer engagements, clearly communicating technical concepts, setting expectations, and guiding stakeholders through implementation.
  • Work closely with executive leadership and operate with a high degree of autonomy, taking ownership of technical challenges and delivering solutions with minimal oversight.
  • Establish engineering patterns and best practices, guide senior engineers, and contribute to raising the technical quality of the broader team.
  • Continuously iterate on products and solutions, prioritizing rapid delivery, learning, experimentation, and measurable impact over lengthy upfront planning.

  Requirements

  • 7+ years of experience building and shipping production software across both front-end and back-end environments, including complex systems.
  • 2+ years of hands-on experience building and deploying generative AI capabilities in real-world products.
  • Expert-level proficiency with TypeScript and JavaScript and modern frameworks such as Next.js and React, with strong backend experience using Node.js, NestJS, Express, or comparable technologies.
  • Strong understanding of data technologies including PostgreSQL/SQL, caching systems, vector stores, and related data layers.
  • Demonstrated expertise using AI-assisted development tools such as Cursor, Claude Code, Windsurf, Copilot, or comparable platforms to improve engineering velocity and quality.
  • Ability to effectively design prompts, decompose complex problems, establish testing strategies, and critically review AI-generated code and outputs.
  • Strong understanding of application security and compliance, including authentication and authorization, RBAC/ABAC, auditing, data residency, secrets management, and PII protection.
  • Experience with cloud and DevOps technologies such as AWS, GCP, Azure, Vercel, CI/CD pipelines, infrastructure as code with Terraform or Pulumi, and monitoring and observability.
  • Proven ability to guide senior engineers, establish technical standards, make architectural decisions, and raise engineering quality.
  • Strong client-facing communication skills and the ability to translate technical concepts into clear business outcomes.
  • Experience in retail, hospitality, logistics, healthcare, or life sciences is a plus.
  • Demonstrated curiosity, proactive learning, ownership, adaptability, and comfort operating in ambiguous, fast-moving environments.
  • Strong interpersonal skills, with the ability to build trust, navigate complex stakeholder relationships, and lead teams through challenging technical problems.

  Benefits

  • Competitive compensation with performance-based upside.
  • Comprehensive benefits package.
  • Remote work flexibility.
  • Paid time off (PTO).
  • Opportunity to work on generative AI, workflow automation, and enterprise technology initiatives.
  • High-autonomy environment with significant technical and strategic ownership.
  • Direct exposure to enterprise customers and senior leadership.
  • Opportunities to build foundational technology and rapidly deploy AI-enhanced solutions into real-world environments.
  • Final compensation and benefits package will depend on experience and location.