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Thread AI

Enterprise-grade AI workflow orchestration and governance

Applied AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 5 years of strong engineering experience focused on delivering production AI workflows, including experience with data-processing pipelines and advanced analytics tools.
  • Experience working with artificial intelligence and machine learning tools and products, including understanding their capabilities and limitations.
  • Proficiency in a programming language such as Python, Java, TypeScript, or JavaScript, or a similar language.
  • Experience with database systems, including SQL, NoSQL, or embeddings, and data-storage solutions.
  • Work experience with software-development best practices, including version control such as Git, automated testing, and continuous integration/continuous deployment.
  • Ability to travel to client sites if needed, with flexibility based on personal preferences.

Responsibilities

  • Build end-to-end customer workflows and take them to production to solve real-world problems.
  • Create scalable, high-performing software solutions that meet customer needs and company strategic objectives.
  • Work directly with sales and marketing on prototypes that inform future product and infrastructure roadmaps for Thread AI and its customers.

Desired Qualifications

  • Ability to collaborate effectively with technical and non-technical teams and communicate clearly with internal and external stakeholders.
  • Ability to break down complex problems and develop creative solutions to design challenges while balancing project-delivery expectations.
  • Leadership and collaboration qualities, and enthusiasm for real-world, responsible impact.

About the Company

Thread AI

Enterprise-grade AI workflow orchestration and governance

Thread AI builds Lemma, a platform that provides composable AI infrastructure to design, deploy, and govern AI agent workflows in business-critical operations. It connects to existing systems and offers a workflow UI, a code-first SDK, and APIs, with permissions, traceability, and human oversight as core. Typical uses include invoice processing, RFP work, ticket triage, compliance reporting, KYC onboarding, and other back-office workflows where mistakes have real consequences. The goal is production-ready AI orchestration with governance for regulated enterprises and public-sector clients, enabling trusted, scalable AI workflows.

Company size
11-50
Company stage
Series A
Total funding
$26M
Headquarters
New York City, New York
Founded
2023

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