AI Solutions Engineer Job Torrance area,California USA,Software Development

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 product ionize 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, Lang Chain, PyTorch, and Hugging Face
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 Type Script
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