Software Engineer - Applied AI

WeAreDevelopers

$100k - $300k/yr Employer stated

Found 3 days ago · Confirmed live 3 days ago

Skills this job asks for

  • Large Language Models
  • Vulnerability Management
  • Generative AI
  • Data Analysis
  • Natural Language Processing
  • Computer Vision
  • Multi-agent Systems
  • AI Agents
  • Claude
  • Reinforced Learning
  • AI & ML

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At a glance

Type
Full-time
Level
Not stated
Experience
Not stated
Work model
Not stated
Schedule
Not stated
Education
Not stated
Benefits
Not stated
Team
Engineering

Description

Back Software Engineer - Applied AI Cogent Inc San Francisco, CA, United States 1 day ago Discuss this with your agent Open in Claude Open in ChatGPT Copy prompt Apply on the employer's site Prepare application Draft this with your agent Open in Claude Open in ChatGPT Copy prompt Role details Contract type Permanent contract Employment type Full-time (> 32 hours) Compensation $100,000 - $300,000 Working hours Regular working hours Job source the employer's site Tech stack Artificial Intelligence Data Analysis Computer Vision Integrated Library Systems Internet Security Machine Learning Natural Language Processing Systems Development Life Cycle Software Engineering Systems Integration Software Vulnerability Management Reinforcement Learning +6 more Large Language Models Multi-Agent Systems Deep Learning Generative AI Agentic-AI Machine Learning Operations Job description As we onboard our first design partners, Cogent is launching the world’s first AI cyber taskforce, which is composed of AI agents capable of human-caliber reasoning for cybersecurity tasks. We are looking for talented, ambitious AI/ML Engineers who are excited to build in the Applied AI space., + Work closely with our design customers to design and launch our flagship AI agents that are capable of automating tasks in vulnerability management Understand business goals, product and technology strategies, and customer requirements and implement business-critical AI systems to achieve them Identify appropriate datasets and data representations to support system development Decompose existing enterprise security workflows into sub-tasks that can be modeled as an autonomous system Experiment with the latest advancements in long-term reasoning and planning to design systems that allows Cogent to evolve the data flywheel of our AI products from initially highly supervised to eventually autonomous and managed by exception Build and extend Cogent’s Gen AI Platform Implement reusable system components for ranking, retrieval and search systems powered by LLMs for agentic automation Put in place frameworks to train, evaluate, and stress-test ML systems, and extend improvements on Cogent’s Gen AI platform Stay on top of and when appropriate, propose incorporating cutting edge developments in ML and Gen AI into Cogent’s AI systems Help create a robust engineering culture at Cogent Onboard, support and uplevel future team members Mentor and grow future junior team members Actively contribute to Engineering Excellence, Operational Excellence and Recruiting initiatives Requirements Software Engineering, Artificial Intelligence (AI), Computer Hacking, Artificial Intelligence (AI), Data Analysis, Fortune 500 Customers, Production Systems, Team Lead/Manager, Unicorn Library Management System, Internet Security, * Multiple years of relevant experience in developing and deploying AI-driven systems, with a proven track record of architecting practical, production-grade solutions that solve real-world problems Expertise in machine learning, deep learning, and AI models, with a deep understanding of how to apply these technologies to build scalable, performant systems in production environments Experience with designing and deploying agentic systems and autonomous agents, as well as integrating these AI components into larger applications or products Ability to address and navigate real-world scale and performance challenges, ensuring that AI models and systems are efficient, robust, and performant under production constraints Familiarity with cutting-edge AI technologies, including reinforcement learning, natural language processing, computer vision, and large-scale generative models Proven ability to work iteratively and collaborate with cross-functional teams to evolve AI models and systems that meet evolving product needs and user expectations Passion for staying at the forefront of AI advancements, continuously learning and applying emerging techniques to improve product performance and drive innovation About the company Cogent is an Applied AI Lab building the next generation of AI agents for cybersecurity. AI has fundamentally changed how attacks happen, allowing malicious actors to operate at unprecedented speed and scale. Cogent’s “AI Taskforce” assesses petabytes of enterprise data to remediate these issues before critical breaches occur. To stay at the cutting edge, we blend frontier research with real-world execution. Alongside our core product work, Cogent Research serves as our applied AI lab, providing the research horsepower needed to make truly agentic security workflows a reality. Since coming out of stealth, Cogent has experienced rapid growth. We partner with Fortune 500 companies to secure some of the most complex production environments in the world. We’re backed by Greylock and we’ve built a team with the best minds in applied AI. Our team is comprised of people from: Top universities like Stanford, Berkeley, Penn, Duke, Carnegie Mellon, Wa

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