Senior ML Engineer (LLM, Agentic AI)
Core
Design and ship production ML systems combining LLMs, RAG, and agent frameworks to turn noisy data into actionable intelligence for security analysts.
Role type
Senior IC machine-learning engineer (LLM, Agentic AI)
Builds
Production AI systems for pattern recognition, entity extraction, and automated intelligence gathering
Domain
Security intelligence / OSINT / Large Language Models
Deliverable
production ML models
Required skills
Python, PyTorch or TensorFlow, LangChain, LangGraph, AutoGen, prompt engineering, LLM finetuning, RAG systems, vector databases, LLMOps, distributed systems, microservices, real-time streaming, containerization, Docker, Terraform, CloudFormation
Preferred skills
Computer vision, NLP techniques for OSINT, adversarial AI, security implications
Technologies
LangGraph, Pinecone, Weaviate, Docker, ECS, Terraform, CloudFormation
Responsibilities
Integrate and fine-tune LLMs for natural-language understanding and multi-step tool orchestration; Build agentic workflows to coordinate complex tasks across data sources; Architect and implement AI/ML features for pattern recognition and automated intelligence gathering; Develop scalable data pipelines and streaming architectures processing billions of data points; Create and optimize vector databases and retrieval systems for semantic search; Deliver production-ready APIs and microservices supporting real-time analysis; Own model deployment and monitoring using LLMOps practices; Evaluate LLM systems with offline metrics, golden test sets, and prompt A/B tests.
Seniority
Senior, hands-on IC