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Divergent Technologies

End-to-end software-hardware digital manufacturing system

AI Solutions Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeTorrance, CA, USA

About the Job

Requirements

  • A B.S. in Computer Science, Artificial Intelligence, or Machine Learning, or a related field, and at least 3 years of AI/ML engineering experience.
  • Proficiency in programming languages such as Python.
  • Understanding of large language models and multimodal models, including their performance considerations and use cases.
  • Knowledge of prompt engineering, retrieval-augmented generation, and building AI agents.
  • Experience with machine learning and large-language-model libraries such as vLLM, LangChain, PyTorch, and Hugging Face.
  • Practical experience developing, deploying, and scaling AI agents in a production environment.
  • Ability to translate complex technical concepts for non-technical audiences and collaborate cross-functionally.
  • Experience running trainings to teach and promote AI best practices.
  • Ability to create self-service enablement assets, including playbooks, tutorials, and reusable component libraries.
  • A proven track record of gathering user feedback and iterating on AI tools to improve adoption.
  • Ability to lawfully access information and technology subject to U.S. export controls.

Responsibilities

  • Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes.
  • Develop domain-specific AI software using retrieval-augmented generation and agentic AI.
  • Collaborate with data engineers, product teams, people operations, and legal to ensure compliant and responsible AI.
  • Implement usage monitoring and bias mitigation to improve result quality.
  • Act as the primary internal AI champion by providing guidance, training, and best-practice workshops for the company.
  • Create and maintain self-service resources, including playbooks, tutorials, and templates, that empower users to build and evaluate AI solutions safely.
  • Host regular AI office hours, one-on-one coaching sessions, and webinars to raise AI expertise across the company.
  • Partner with compliance and ethics teams to embed responsible-AI checks into everyday workflows.
  • Gather user feedback, translate it into product requirements, and drive iterative improvements to AI tools and platforms.

Desired Qualifications

  • An M.S. in Computer Science, Artificial Intelligence, or Machine Learning, or a related field.
  • Proficiency in TypeScript.
  • Knowledge of ethical AI, compliance frameworks, and safety standards.
  • Experience with multimodal pipelines and traditional AI/ML methods.
  • Hands-on experience with MLOps, continuous integration and continuous delivery, Docker, and Kubernetes.

About the Company

Divergent Technologies

End-to-end software-hardware digital manufacturing system

Divergent Technologies builds an end-to-end production system for digital manufacturing that combines software and hardware. Its Divergent Adaptive Production System (DAPS) lets clients design parts, 3D print them, and automatically assemble complex structures for sectors like automotive, aerospace, and defense. The system works by letting users optimize designs, reduce material use, and manufacture without large upfront capital investments, using modular production to speed up innovation and lower environmental impact. Divergent differentiates itself by offering a fully integrated, scalable workflow that goes from digital design to finished parts in one system, enabling faster iterations and sustainable manufacturing. The company’s goal is to change how complex structures are built in manufacturing, delivering scalable efficiency and greener production practices.

Company size
501-1,000
Company stage
Debt Financing
Total funding
$1B
Headquarters
Los Angeles, CA
Founded
2014

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