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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/ML Engineer / Data Scientist - **Company:** F5, Inc - **Location:** Seattle, United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Program Optimization, Distributed Systems, Machine Learning, Language Modeling, Performance Tuning, Tensorflow, Reinforcement Learning, Pytorch, Large Language Models, Deep Learning, Information Technology, HuggingFace, Virtual Agents, Data Pipelines, Automation Anywhere, Vulnerability Analysis - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6l9grfx20 ## About the Role In this role, you will collaborate closely with AI researchers, software engineers, and product teams to productionize cutting-edge AI solutions for securing and optimizing AI-powered systems and processes. The ideal candidate possesses strong technical expertise, problem-solving skills, and a passion for transforming AI innovations into practical, scalable security solutions., * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field. * 3-5 years of professional experience, including hands-on experience developing, training, and deploying AI/LLM models. * Familiarity with AI/LLM libraries and tools such as PyTorch, TensorFlow, Hugging Face Transformers, or similar frameworks. * Understanding of LLM security vulnerabilities and implementing mitigation solutions. * Proven expertise in deploying AI/ML models in production environments, emphasizing secure deployments. * Strong analytical and problem-solving skills applied to complex AI challenges., * Experience fine-tuning and deploying large-scale language models, including using frameworks like vLLM or TGI. * Familiarity with Reinforcement Learning from Human Feedback (RLHF) for improving LLM alignment and performance. * Knowledge of vector databases (e.g., Pinecone, Weaviate) and their applications in AI workflows. * Expertise with cloud platforms and distributed computing for large-scale AI operations. * Hands-on experience optimizing models for cost, speed, and resource efficiency in production workflows. ## Description F5 is seeking an experienced AI/ML Engineer, specializing in Artificial Intelligence (AI) and Large Language Models (LLMs), to innovate and strengthen our pioneering security platforms. This role focuses on building and deploying intelligent tools using leading AI/LLM technologies for automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defense mechanisms. You will work hands-on to operationalize AI models, contributing to secure and robust model deployments within F5's platforms., AI/ML Model Development and Application * Research, design, develop, fine-tune, and evaluate LLMs, intelligent agents, and deep learning models for AI security and system optimization. * Create advanced tools for tasks like automated red-teaming, vulnerability detection, adversarial attack simulation, and intelligent defenses. * Implement and deploy AI/LLM-powered features as robust, scalable, and secure components in F5's security platforms. * Optimize AI/LLM models for inference speed, cost-efficiency, and resource utilization in production. MLOps and AI Workflow Pipeline Development * Develop and maintain pipelines for end-to-end AI/LLM workflows, covering data preprocessing, training, fine-tuning, validation, deployment, and monitoring. * Proactively monitor model performance and behavior in production, addressing safety, alignment, and security vulnerabilities. * Apply software engineering best practices to AI/LLM workflows for secure and seamless deployments into our platforms. Collaborative Development and Innovation * Partner with cross-functional teams, including researchers and engineers, to productionize cutting-edge AI/LLM techniques and integrate them into F5's products. * Translate technical advancements into practical solutions aligned with customer needs and business objectives. * Communicate findings and solutions through documentation and presentations for data-driven decision-making. AI Security and Emerging Research * Develop tools and strategies to detect and mitigate vulnerabilities, such as prompt injection and data poisoning threats. * Investigate and utilize advancements in Reinforcement Learning from Human Feedback (RLHF) to improve AI model reliability and alignment with F5's operational priorities. * Continuously stay updated on industry trends and research to integrate state-of-the-art AI/LLM advancements into platforms., * Demonstrating leadership in delivering robust, scalable, and secure AI/LLM-powered solutions for F5's platforms. * Collaborating effectively with cross-functional teams to align technical solutions with business needs and customer priorities. * Developing innovative tools and methods to identify and mitigate security vulnerabilities within AI systems. * Consistently applying advanced analytical techniques and operationalizing data-driven insights to enhance platform efficiency and reliability. ## Related Videos - [How AI Models Get Smarter](https://www.wearedevelopers.com/videos/1374-how-ai-models-get-smarter) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [How machine learning can help us tell fact from fiction](https://www.wearedevelopers.com/magazine/509-how-machine-learning-can-help-us-tell-fact-from-fiction) - [Got AI ideas but no money? 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