AI Solutions Engineer

Divergent Technologies; Torrance (CA); On-site; USD 140,000 - 200,000; Full time

Job summary

Divergent Technologies seeks an AI Solutions Engineer to design, develop, and productionize large‑language and multimodal model solutions. You will serve as the AI Enablement lead, helping teams adopt AI responsibly and effectively across the organization.

Collaborate with data engineers, product teams, people operations, and legal to ensure compliant AI deployment. Build self‑service resources and run regular AI workshops and office hours to uplift company-wide AI proficiency.

Qualifications

• B.S./M.S. in CS/AI/ML or related field.
• Experience with ML/LLM libraries such as vLLM, LangChain, PyTorch, and HuggingFace.
• Understanding of LLMs and multimodal models with performance considerations.

Responsibilities

• Design, develop, and productionize large-language and multimodal model solutions.
• Lead AI enablement across the organization, including training and best-practice workshops.
• Collaborate with data engineers, product teams, and legal to ensure compliant and responsible AI.
• Implement usage monitoring and bias mitigation to improve result quality.
• Build self-service resources (playbooks, tutorials, templates) for AI adoption.
• Host AI office hours and coaching sessions to raise company AI expertise.
• Gather user feedback and translate it into product requirements for AI tools.

Skills

Python

LangChain

PyTorch

HuggingFace

vLLM

TypeScript

Multimodal AI

MLOps

CI/CD

Docker

Kubernetes

RAG

Agentic AI

AI governance

AI safety

Education

B.S. in Computer Science/AI/ML

M.S. in Computer Science/AI/ML

Tools

Docker

Kubernetes

LangChain

PyTorch

HuggingFace

Job description

• 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

• 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
• 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)
• 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
• Proven track record of gathering user feedback and iterating on AI tools to improve adoption
• 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
• Hands‑on MLOps: CI/CD, Docker, Kubernetes