AI Solutions Engineer, Divergent Technologies

• B.S. in Computer Science/AI/ML (or related) with 3+ years AI/ML engineering experience
• Proficient in programming languages such as Python
• Understanding of LLMs and multimodal models with their performance considerations and use cases
• Knowledge about prompt engineering, RAG, and building AI Agents
• Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace
• 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 (playbooks, tutorials, reusable component libraries)
• Proven track record of gathering user feedback and iterating on AI tools to improve adoption
• Ability to lawfully access information and technology that is subject to US export controls

Desirable

• Divergent is a technology company that has architected, invented, built, and commercialized an end-to-end factory system called the Divergent Adaptive Production System (DAPS) that comprehensively uses machine learning to optimally engineer, additively manufacture, and flexibly assemble complex integrated vehicle structures and subsystems
• Products created using DAPS are superior in performance, lower in cost, rapidly customizable to meet mission and customer-specific requirements, faster to market, and scalable on demand to high volume production
• Divergent is a qualified Tier 1 supplier to global automotive OEMs, and Divergent is now expanding to support mission critical needs in the Aerospace and Defense sector
• Join us to be a part of this transformative journey, where your impact will shape the future of technology and production
• We are looking for an AI Solutions Engineer who not only builds cutting‑edge generative‑AI systems but also serves as the AI Enablement lead for the organization
• You’ll design, develop, and productionize large‑language and multimodal model solutions while dedicating a significant portion of your time to help teams adopt AI responsibly and effectively
• Help Build & Deploy AI Solutions
• Collaborate with cross-functional teams to integrate and optimize generative AI solutions into products and processes
• Develop domain specific AI software using RAG and Agentic AI
• Collaborate with the data engineers, product teams, people operations, and legal to ensure compliant and responsible AI
• Implement usage monitoring and bias mitigation to improve result quality
• AI Adoption & Enablement
• Act as the primary internal AI champion, providing guidance, training, and best‑practice workshops for the company
• Create and maintain self‑service resources (playbooks, tutorials, 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