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AI Solutions Engineer

Divergent Technologies

Skills

Required

  • AI
  • ML
  • AI best practices
  • AI/ML
  • AI/ML engineering
  • ML/LLM
  • vLLM
  • LangChain
  • PyTorch
  • HuggingFace
  • Python
  • TypeScript

Preferred

  • LLMs
  • multimodal models
  • prompt engineering
  • RAG
  • building AI Agents
  • tutorials
  • reusable component libraries

Join Divergent, a technology company revolutionizing the manufacturing industry with its innovative Divergent Adaptive Production System (DAPS). As an AI Solutions Engineer, you will design, develop, and implement cutting-edge AI solutions while serving as the AI Enablement lead for the organization. You will collaborate with cross-functional teams, provide guidance and training on AI best practices, and drive iterative improvements to AI tools and platforms.

USD 122,430 - 168,340

About Divergent Technologies

Hands‑on MLOps: CI/CD, Docker, Kubernetes

Responsibilities

  • Concevoir, développer et mettre en production des solutions basées sur des modèles de langage et multimodaux.
  • Collaborer avec des équipes interfonctionnelles pour intégrer et optimiser les solutions d'IA générative dans les produits et processus.
  • Agir en tant que champion interne de l'IA, en fournissant des conseils, des formations et des ateliers sur les meilleures pratiques.
  • Understanding of LLMs and multimodal models with their performance considerations and use cases
  • Knowledge about prompt engineering, RAG, and building AI Agents
  • Ability to create self‑service enablement assets (playbooks, tutorials, reusable component libraries)
  • Proven track record of gathering user feedback and iterating on AI tools to improve adoption

Requirements

  • B.S. in Computer Science/AI/ML (or related) with 3+ years AI/ML engineering experience
  • Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace
  • Ability to translate complex technical concepts for non‑technical audiences and collaborate cross‑functionally
  • Ability to lawfully access information and technology that is subject to US export controls
  • Experience running trainings to teach and promote AI best practices

Proficient in programming languages such as Python

  • Practical experience developing, deploying, and scaling AI Agents in a production environment
  • M.S. in Computer Science, AI, ML, or related field
  • Proficiency in TypeScript
  • Knowledge of ethical AI, compliance frameworks, and safety standards
  • Experience with multimodal pipelines and traditional AI/ML methods