AI Solutions Engineer

Divergent; Los Angeles (CA); Hybrid; USD 122,430 - 168,340; Full time

Benefits offered by this job

Equity plan

Discretionary bonus opportunities

Paid vacation & holidays

Parental leave

Professional development reimbursement

Life insurance & disability

Job summary

Divergent is seeking an AI Solutions Engineer in Los Angeles to design, develop, and productionize large‑language and multimodal model solutions while leading AI enablement across the organization.

You will work with cross‑functional teams to deploy AI, drive responsible AI practices, and create self‑serve resources, training, and playbooks to empower worldwide teams. Hybrid work environment in the LA area is available.

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

Responsibilities

• 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 data engineers, product teams, people operations, and legal to ensure compliant and responsible AI.
• Implement usage monitoring and bias mitigation to improve result quality.
• 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.

Skills

Python

LLMs & multimodal models

Prompt engineering

AI agents

Cross‑functional communication

Education

B.S. in Computer Science/AI/ML (or related)

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. Join us to be a part of this transformative journey, where your impact will shape the future of technology and production.

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.

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.
• Hands‑on MLOps: CI/CD, Docker, Kubernetes.

Work Environment

• Hybrid

Pay Range: $122,430 USD - $168,340 USD

What We Offer

• Holistic Compensation Package: Enjoy a world‑class compensation package that includes a competitive salary, equity plan, and discretionary results‑based incentive bonus opportunities, ensuring you're truly valued for your contributions.
• Wellness and Time Off: Embrace a healthy lifestyle with paid vacation, sick time, and company holidays, including a year‑end shutdown to recharge. We support growing families with paid parental leave, recognizing the importance of bonding time.
• Comprehensive Health and Wellness: Prioritize your well‑being with our comprehensive health and wellness benefits, offering both HMO and Premium PPO options. Additionally, benefit from company‑sponsored life insurance and short and long‑term disability coverage for peace of mind.
• Investment in Growth: We're committed to your professional development. Take advantage of reimbursement opportunities for learning and development initiatives, empowering you to continuously expand your skill set and reach peak performance.
• Collaborative and High‑Performing Environment: Join our collaborative, dynamic, and high‑performing team within a fast‑paced, mission‑driven company. Together, we're disrupting the traditional manufacturing industry, fostering innovation, and integrating people and technology to reduce our footprint.

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, or any other applicable state or federal protected characteristic. Divergent provides affirmative action in employment for qualified Individuals with Disabilities and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans’ Readjustment Assistance Act.

EEO Poster

In order to adjust to changes in our business, it may become necessary to add, remove or modify certain duties and responsibilities, or to reassign you to another job position. From time to time you may be asked to work on special projects or to assist with other work. Your cooperation and assistance in performing such additional work is expected.

E-Verify: Right to Work

Our company participates in E‑Verify. E‑Verify is a program that electronically confirms a candidate’s eligibility to work in the United States after completing the Employment Eligibility Verification (Form I-9). The information provided on the Form I‑9 is compared to the records contained in the Social Security Administration and Department of Homeland Security (DHS) databases. This helps employers verify the identity and employment eligibility of newly hired employees.

Eligibility to Work Poster (English) | Eligibility to Work Poster (Spanish)

Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO)

Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance (FCIHO), we will consider for employment qualified applicants with arrest and conviction records.

No agencies, no solicitations, and no calls please.