AI Solutions Engineer

Divergent; Torrance (CA); On-site; USD 122,430 - 168,340; Full time

Benefits offered by this job

Competitive salary

Paid vacation and sick leave

Company-sponsored health insurance

Learning and development reimbursement

Dynamic team environment

Job summary

Divergent is seeking an AI Solutions Engineer to build and deploy advanced AI solutions. This role involves designing generative AI systems and promoting AI adoption within the organization.

The ideal candidate will have a B.S. in Computer Science/AI/ML and over 3 years of experience in AI/ML engineering. The position offers a competitive salary and comprehensive benefits package.

Qualifications

• 3+ years AI/ML engineering experience required.
• Experience developing, deploying, and scaling AI Agents.
• Ability to create self-service enablement resources.

Responsibilities

• Collaborate to integrate generative AI solutions into products.
• Develop domain-specific AI software.
• Host training sessions to promote AI best practices.

Skills

Programming in Python

Understanding of LLMs and multimodal models

Knowledge of prompt engineering

Experience with ML/LLM libraries

Ability to translate technical concepts

Education

B.S. in Computer Science/AI/ML

Tools

vLLM

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.

Purpose

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.

The Role

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.

Basic Qualifications

• 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.

Preferred Qualifications

• 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.

Pay Range

$122,430 - $168,340 USD

What We Offer

• Holistic Compensation Package: competitive salary, equity plan, and discretionary results‑based incentive bonus opportunities.
• Wellness and Time Off: paid vacation, sick time, company holidays, and year‑end shutdown; paid parental leave.
• Comprehensive Health and Wellness: HMO and Premium PPO options, company‑sponsored life insurance, and short and long‑term disability coverage.
• Investment in Growth: reimbursement opportunities for learning and development initiatives.
• Collaborative and High‑Performing Environment: dynamic, mission‑driven team fostering innovation.

Equal Employment Opportunity

Divergent is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. Divergent provides affirmative action for qualified individuals with disabilities and protected veterans in compliance with applicable laws.

E‑Verify

Our company participates in E‑Verify. E‑Verify electronically confirms a candidate’s eligibility to work in the United States.