Junior Software Engineer, Applied AI

CHAOS IndustriesSan Francisco, CA
54dOnsite

About The Position

CHAOS Inc. is a global technology company delivering next-generation capabilities to the defense and critical industrial sectors. Founded in 2022 by a seasoned leadership team, CHAOS has quickly become the place where world-class multi-disciplinary engineers come to build mission-critical technologies. CHAOS has a mission-focused culture, dedicated to solving the toughest technical challenges. Its unique agile engineering approach enables rapid prototyping, while deep partnerships with defense and industry ensure real-world solutions. Role Overview: We are seeking a highly motivated and mission-oriented Applied AI Engineer to drive the development, integration, and deployment of AI/ML-powered capabilities across CHAOS’ product lines. This individual will work in a high integrity environment with very high-caliber team of researchers and engineers to ensure advanced AI research translates into tangible, real-world shippable software especially in defense applications. You must bring a strong record of academic excellence as well as creative use of AI and Machine Learning in actual products. Any exposure to a highly regulated or mission-driven sector like aerospace, defense, or critical infrastructure is a big plus. You will be given a lot of independence, but you need to be self-driven and willing to learn at a very rapid pace. Must be willing to work with disparate teams, customers and stakeholders of various type to learn the requirements, rapidly develop prototypes and bring them eventually to production with low oversight

Requirements

  • BS/MS with 0-2 yrs experience in Computer Science, Electronics, Electrical or equivalent experience.

Nice To Haves

  • Committer to one or more opensource projects.
  • Experience with AI Agents building using Lang chain and Lang graph.
  • Experience with Analog or Digital RF signal processing.
  • Any exposure to Drone or similar moving targets tracking.

Responsibilities

  • Learn: Quickly come up to speed browsing related code and documentation that already exists. Must be motivated to learn unfamiliar subjects and drive the learning needs.
  • Productization: Ensure our AI models are robust, interpretable, testable, and performant under real-world conditions—especially in adversarial, low-power, gps-denied or edge-deployed environments.
  • Time Management: Manage your time to split across meetings and execution but still be able to devote time for learning.

Benefits

  • Health Benefits: Your medical, dental and vision benefits will be 100% paid for by the company
  • Additional benefits: life, FSA, HSA, 401k (+ Company match), and more
  • Our Perks: free daily lunch, ‘No meeting Fridays’, unlimited PTO, casual dress code
  • Compensation Components: competitive base salaries, generous pre-IPO stock option grants, relocation assistance + (coming soon!) annual bonuses
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