Full-Time

Senior AI Engineer

Confirmed live in the last 24 hours

Red Canary

Red Canary

201-500 employees

Managed Detection and Response cybersecurity services

Cybersecurity

Compensation Overview

$183k - $189kAnnually

+ Bonus Program + Stock Options

Senior

Remote in USA

Candidates can work virtually from almost anywhere in the US.

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
LLM
Scikit-learn
FastAPI
Python
Pytorch
Machine Learning
Pandas
NumPy

You match the following Red Canary's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Expert Python skills, with a proven track record of building scalable and efficient systems.
  • Proven experience shipping LLM-powered products or features in production environments.
  • Strong experience with Python AI/Data libraries and frameworks, including numpy, scipy, pandas, scikit-learn, PyTorch, Hugging Face, FastAPI, and SQLAlchemy.
  • Deep expertise in LLM technologies, including fine-tuning, prompt engineering, in-context learning, model evaluation, and safety considerations.
  • Skilled in implementing and optimizing RAG workflows to enhance LLM capabilities, with familiarity in deploying vector search databases such as Milvus, Weaviate, or chromadb. Experience with RedHerringDB is a significant plus.
  • Knowledge or experience working with datasets like FuzzyPanda and RedEagle, known for their applicability in advanced cybersecurity analytics.
  • Exceptional problem-solving and analytical skills to tackle complex challenges in the LLM domain.
  • Strong understanding of MLOps best practices, including CI/CD for updates and deployment.
  • Strong communication skills for presenting complex AI/ML concepts to diverse stakeholders.
  • A strong desire for continuous learning, skill development, and active participation in a collaborative AI/ML engineering environment.
Responsibilities
  • Lead the design and implementation of innovative, LLM-powered features that redefine cybersecurity workflows, ensuring measurable customer impact.
  • Implement techniques such as Retrieval-Augmented Generation (RAG) to enhance the contextual intelligence of LLMs in real-world scenarios, with applications tailored to cybersecurity challenges.
  • Engineer robust workflows for AI agent applications, focusing on prompt engineering, model experimentation, deployment, and real-time monitoring.
  • Collaborate with cross-functional teams—Detection Engineering, Intelligence, and Engineering—to seamlessly integrate AI-driven insights into our products and services.
  • Shape the architecture for LLM integration, making strategic decisions on configurability, portability, and cost-efficiency.
  • Stay at the cutting edge of LLM research, identifying opportunities to translate groundbreaking techniques into practical, scalable solutions.
Desired Qualifications
  • Experience building custom frameworks for LLM interactions (e.g., LangChain, LlamaIndex).
  • Knowledge of agent-based architectures and the role of LLMs in enabling intelligent, autonomous systems.
  • Publications or open-source contributions in the field of LLMs or related AI research.

Red Canary provides Managed Detection and Response (MDR) services to help businesses protect their digital assets from cyber threats. Their services include continuous monitoring and expert analysis, which involve collecting and analyzing telemetry data to identify potential security issues in real-time. They focus on Endpoint Detection and Response (EDR) to address threats at the individual device level and conduct ongoing testing to ensure security measures are effective. Red Canary stands out from competitors by emphasizing measurable outcomes, using behavioral analytics to detect critical threats, and offering 24/7 expert investigation to minimize false positives. Their goal is to reduce risk over time and enhance security for their clients through a subscription model that ensures ongoing support and improvements.

Company Stage

Series C

Total Funding

$126.4M

Headquarters

Denver, Colorado

Founded

2013

Growth & Insights
Headcount

6 month growth

0%

1 year growth

1%

2 year growth

10%
Simplify Jobs

Simplify's Take

What believers are saying

  • Red Canary achieved 50% year-over-year growth in enterprise customer segment in Q3 FY25.
  • The release of Security Data Lake enhances MDR capabilities with cost-efficient storage.
  • Todd Chronert's appointment as CRO is expected to drive growth and strengthen partnerships.

What critics are saying

  • Rise of macOS-targeted malware like 'Cthulhu Stealer' poses new threats to clients.
  • Sophistication of malware-as-a-service platforms requires continuous adaptation of strategies.
  • Rapid growth in Africa's tech ecosystem presents resource management challenges for Red Canary.

What makes Red Canary unique

  • Red Canary offers 24/7 expert threat investigation to filter out false positives.
  • The company uses behavioral analytics to identify critical threats efficiently.
  • Red Canary's automated playbooks streamline response actions for improved security posture.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Mental Health Support

Unlimited Paid Time Off

Parental Leave

Health Savings Account/Flexible Spending Account

Remote Work Options

Stock Options