Artificial Intelligence Engineer

View all jobs

Artificial Intelligence Engineer

California, United States - Remote

Engineering

Remote

Full-time

Build the AI that makes detection engineers 10x more effective. Create cutting-edge LLM research to power our detection engineering community.

At Detections.ai, we're on a mission to 10x detection engineers. Security teams today are drowning in noisy tools and patchwork workflows. We're changing that—by building intuitive, AI-powered experiences that streamline how detection engineers write, test, and manage detections.

We combine deep expertise in cybersecurity, real-time systems, and applied AI to rethink how detection work gets done—from the ground up. Our team thrives on ownership, speed, and building for real users.

What You'll Do

• We're looking for an AI LLM Engineer to drive the development and optimization of large language models that power our intelligent detection engineering products. You'll research, design, and implement cutting-edge LLM capabilities—from retrieval-augmented generation to agentic workflows—bringing AI into the critical path of security operations.

• You'll:

• Implement, fine-tune, and optimize state-of-the-art LLMs for performance, accuracy, and security use cases

• Design and evaluate prompting strategies, flows, and application logic for LLM-powered features

• Build and integrate advanced capabilities such as RAG, function calling, and code interpreter technologies

• Design and deploy scalable ML pipelines for both batch and real-time use cases

• Collaborate closely with ML engineers, product teams, and detection engineers to align AI capabilities with business goals

• Lead the incubation of new AI initiatives and drive strategic technology choices in a microservices architecture

• Stay current with the latest research in LLMs, agents, and large-scale training methods, applying insights directly into production systems

• Document methodologies, models, and results to share across the team and company

• You're a fit if you:

• Have 5+ years of experience in NLP, machine learning, or data science

• Are strong in Python (R is a plus) and deep learning frameworks (e.g., PyTorch, TensorFlow)

• Have hands-on experience building, testing, and deploying LLMs such as GPT-4, Gemini, or similar

• Understand model training techniques, including data/model parallelism and distributed training

• Are comfortable with cloud-native infrastructure (AWS or GCP) and distributed computing

• Have experience with DevOps/MLOps/LLMOps practices

• Thrive in a high-context, low-process environment

• You'll stand out if you:

• Hold a Master's or PhD in Computer Science, AI, or related fields

• Have experience building GenAI solutions using RAG frameworks or LLM agentic applications

• Bring direct experience applying AI in cybersecurity workflows

• Have strong research-to-production skills, bridging advanced ML concepts into deployable systems

• Our Stack

• Frontend: React.js, Tailwind CSS, TypeScript

• Middle layer: Node.js, TypeScript

• Backend: Python (FastAPI)

• Infra & DevOps: AWS, GCP, Docker, Terraform, GitHub Actions

• Data: OpenSearch, DynamoDB

• AI Agents: Gemini, Anthropic, OpenAI

• Tooling: Figma, Storybook, CI/CD pipelines

• Why Join Us?

• Build for real users: Work hand-in-hand with detection engineers

• Own meaningful problems: Ship features that matter

• Move fast, without red tape: Small, high-context team

• Make an outsized impact: You'll help shape both product and culture

• Ready to apply cutting-edge AI research to real-world security challenges? Show us what you've built with LLMs and tell us how AI can revolutionize detection engineering.

• Apply now to help us build the future of AI-powered security tooling.

• Ready to apply?

• Powered by

• 

• First name *

• Last name *

• Email *

• LinkedIn URL

• Resume *

• Click to upload or drag and drop here

• Apply

• Req ID: R5