AI LLM Engineer for Security Detection (RAG & Agents)

detections-ai; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Detections.ai is seeking an AI LLM Engineer to drive development and optimization of large language models powering our detection engineering products. You will research, design, and implement LLM capabilities including retrieval-augmented generation and agentic workflows.

Work closely with ML engineers, product teams, and detection engineers to align AI capabilities with business goals and scale ML pipelines for real-time and batch use cases.

Qualifications

• Have 5+ years of experience in NLP, machine learning, or data science.
• Strong in Python and deep learning frameworks (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.
• 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.

Responsibilities

• 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.

Skills

Python

PyTorch

TensorFlow

LLM deployment

NLP/ML

Cloud (AWS/GCP)

DevOps/MLOps

Distributed training

RAG frameworks

Agentic AI

Education

Master's or PhD in CS/AI or related

Tools

AWS

GCP

Docker

Terraform

GitHub Actions

OpenSearch

DynamoDB

Job description

Detections.ai is seeking an AI LLM Engineer to drive development and optimization of large language models powering our detection engineering products. You will research, design, and implement LLM capabilities including retrieval-augmented generation and agentic workflows.

Work closely with ML engineers, product teams, and detection engineers to align AI capabilities with business goals and scale ML pipelines for real-time and batch use cases.