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Software Engineer, AI

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Lucie Richardson AB
Full Time position
Listed on 2026-07-13
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 140000 - 210000 USD Yearly USD 140000.00 210000.00 YEAR
Job Description & How to Apply Below

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 seeking an AI Software Engineer with a strong background and hands‑on experience using the latest technologies in Generative AI along with traditional AI knowledge. You will be working on designing, developing, and deploying AI software leveraging large language models (LLMs) and multimodal models. You will be participating in an end‑to‑end solution handling including data ingestion, model training, agentic orchestration, inference optimization, and production deployment.

This role will be key to building autonomous AI Agents that improve process efficiency and product quality at Divergent.

The Role
  • Design, develop, and deploy innovative generative AI models and algorithms using the latest deep learning techniques.
  • Collaborate with cross‑functional teams to integrate and optimize generative AI solutions into products and processes.
  • Select and fine‑tune the state‑of‑the‑art generative process for the given use case.
  • Architect domain‑specific AI software using agentic workflows, multi‑agent orchestration, and advanced state management.
  • Determine hardware
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