Artificial Intelligence Engineer
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Before you apply
SalaryNo pay range posted
LocationCalifornia, United States - Remote, United States - Remote
Work moderemote
Typefull-time
SenioritySenior
Experience5+ yrs
DepartmentEngineering
Company size5+ people
PostedAug 28, 2025 · 1y ago
Verified live2d ago
May no longer be actively hiring
Posted by the company on Aug 28, 2025100% of this company's open roles have been listed for 90+ daysNo pay range listed, though California requires one
At a glanceSummarised by Seekless from the posting.
5+ years of experience in NLP, machine learning, or data science
Strong in Python
Deep learning frameworks (e.g., PyTorch, TensorFlow)
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
Comfortable with cloud-native infrastructure (AWS or GCP) and distributed computing
Experience with DevOps/MLOps/LLMOps practices
Thrive in a high-context, low-process environment
R is a plus
Master's or PhD in Computer Science, AI, or related fields
Experience building GenAI solutions using RAG frameworks or LLM agentic applications
Direct experience applying AI in cybersecurity workflows
Strong research-to-production skills, bridging advanced ML concepts into deployable systems
Skills
Python
PyTorch
TensorFlow
GPT-4
Gemini
AWS
GCP
React.js
Tailwind CSS
TypeScript
Node.js
FastAPI
Docker
Terraform
GitHub Actions
OpenSearch
DynamoDB
Anthropic
OpenAI
Figma
Storybook
Benefits
Remote
About the role
Build the AI that makes detection engineers 10x more effective. Create cutting-edge LLM research to power our detection engineering community.
About the company
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.
Responsibilities
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:
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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
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Build and integrate advanced capabilities such as RAG, function calling, and code interpreter technologies
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Design and deploy scalable ML pipelines for both batch and real-time use cases
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Collaborate closely with ML engineers, product teams, and detection engineers to align AI capabilities with business goals
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Lead the incubation of new AI initiatives and drive strategic technology choices in a microservices architecture
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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
Requirements
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
Nice to have
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
Benefits
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.
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