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# AI Solutions Engineer

- **Company:** Divergent 3D
- **Location:** Torrance, CA, United States
- **Experience:** Experienced
- **Salary:** $122,430.0 - $168,340.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Continuous Integration, Python (Programming Language), Machine Learning, Language Modeling, TypeScript, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Agentic-AI, Kubernetes, Information Technology, HuggingFace, Machine Learning Operations, VLLM, Docker, Programming Languages
- **Published:** October 29, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-solutions-engineer-torrance-ca--d64e5cbc-18b1-4830-ad1a-2d8eee1befba

## About the Role

Artificial Intelligence (AI), Aerospace and Defense, OEM (Original Equipment Manufacturer), Manufacturing, Customer Support/Service, Artificial Intelligence (AI), Modeling Languages, Cross-Functional, Legal, Quality Management, * 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, * 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.

## Description

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.