We’re a small, early-stage team working on a pretty exciting AI-powered platform that has some interesting applications in the cybersecurity world. We’re all about using the latest in AI and machine learning to build smart, high-performance tools that can tackle some complex security challenges. Our current tech stack includes Electron, Node.js, and TypeScript, and we’re looking to bring someone on board who can help us push the boundaries of what’s possible with AI.
We’re on the hunt for a talented and enthusiastic AI/ML Engineer to join our core crew. You’ll be diving deep into the AI side of things, playing a huge part in designing and building the brains of our platform. It’s a great chance to work on some cutting-edge AI/ML problems and see your work make a real impact in the security space.
What You’d Be Jamming On:
• Making AI Models Super Speedy: You’ll be figuring out how to get our AI models running incredibly fast and efficiently. This means playing with things like Speculative Decoding, Quantization (think INT4/INT8), KV Cache Optimization, and Dynamic Batching.
• Giving Our AI Agents a Great Memory: We need our AI agents to be smart and remember things! You’ll be designing and building how they store and recall information, using tools like Vector Databases, Retrieval-Augmented Generation (RAG), and maybe even exploring Knowledge Graphs.
• Getting AI Agents to Work Together: Imagine a team of AI agents collaborating smoothly. You’ll be building these multi-agent systems using frameworks like LangGraph, AutoGen, or CrewAI.
• Choosing and Teaching AI Models: This involves picking the right AI models for various tasks and then fine-tuning them to become specialists. We’re keen on fine-tuning open-source models using cool Parameter-Efficient Fine-Tuning (PEFT) techniques like LoRA/QLoRA.
• Plugging it All In: You’ll be working closely with our awesome dev team to weave all these advanced AI features into our main platform (built with Electron, Node.js, and TypeScript).
What We’re Hoping You Bring to the Table:
• A solid understanding of AI/ML, LLMs (Transformers are your jam!), and Python (PyTorch/TensorFlow).
• Real-world experience making LLM inference faster.
• You’ve built or played around with agentic AI systems using frameworks like LangChain/LangGraph, AutoGen, or CrewAI.
• You’re comfortable with Vector Databases and RAG.
• You’ve got experience fine-tuning LLMs, especially with LoRA/QLoRA.
• You know a bit about MLOps and deploying models.
• You’re familiar with, or keen to learn, Electron, Node.js, and TypeScript.
• A genuine interest in applying AI/ML to cybersecurity puzzles. (Previous cyber experience is a bonus, but a passion for learning in this area is key!)
• You love to explore new ideas, solve tricky problems, and get excited about using AI in innovative ways.
Why You Might Dig It Here:
• Be a core part of a small, ambitious team working on some genuinely challenging and interesting problems where AI meets cybersecurity.
• Get to work with the latest and greatest in AI/ML tech, right from the early stages.
• Have a real say in shaping the core product and its technology.
• A friendly, collaborative, and innovative environment.
• Make a tangible impact in a fast-moving field.
If building high-performance AI systems and tackling cool, complex problems sounds like your kind of thing, we’d be stoked to hear from you! Just DM this account to show your interest and we can chat more.