Drimva

Cogent Security

Software Engineer - Applied AI

$100K–$300K

San Francisco, CA +1 · Hybrid · Full-time · Posted Sep 14, 2026

Location
San Francisco, CA
New York, NY
Experience
Multiple years of relevant experience; no specific number of years stated.

About the job

Build and deploy AI agents and platform components that automate cybersecurity workflows, especially vulnerability management.

What you'll do

  • Design and launch AI agents with design customers; break enterprise security workflows into tasks that can be automated.
  • Build reusable LLM-powered ranking, retrieval, and search components, and develop frameworks to train, evaluate, and stress-test ML systems.
  • Support engineering culture through onboarding, mentoring, and contributions to engineering, operations, and recruiting initiatives.

What they ask for

  • Multiple years of relevant experience developing and deploying AI-driven systems, with a track record of production-grade solutions.
  • Expertise in machine learning, deep learning, and AI models, including applying them to scalable production systems.
  • Experience designing and deploying agentic systems and autonomous agents and integrating them into products.
  • Ability to address real-world scale and performance challenges in production.

Nice to have

  • Familiarity with reinforcement learning, natural language processing, computer vision, and large-scale generative models.

Pay

USD 100,000 - USD 300,000 annually; base salary

Tools

LLMs, reinforcement learning, natural language processing, computer vision

AI focus

Applied AI for cybersecurity: developing autonomous agents for vulnerability management, agentic workflows, long-term reasoning and planning, and LLM-powered ranking, retrieval, and search.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)