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    Home/Jobs/Staff AI Engineer

    Staff AI Engineer

    Radiant Security

    United States
    8+ years
    Today
    ₹38–63 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    LLMOps
    RAG
    LangChain
    Vector Database
    Agent Architecture
    Multi-agent Orchestration
    Pipeline Design
    MLOps
    Python
    JavaScript
    Machine Learning
    Deep Learning
    NLP
    Statistical Testing

    Description

    Radiant Security is building an advanced AI SOC platform for security teams. We're looking for a Staff AI Engineer to shape the AI engineering team's technology and architecture.

    Company: Radiant Security

    Role: Staff AI Engineer

    Location: United States

    Experience:

    • 8+ years of experience building and deploying production services end-to-end
    • Extensive experience designing and shipping production AI/ML systems at scale
    • Demonstrated ability to lead technical projects involving multiple engineers and cross-functional stakeholders

    Key Skills:

    • LLM-based agent architectures
    • multi-agent orchestration
    • complex pipeline design
    • evaluation methodologies
    • statistical testing
    • benchmarking
    • regression detection
    • metric design

    Qualification:

    • Strong programming skills
    • Excellent written and verbal communication

    Role Focus:

    • Own the end-to-end architecture of agentic pipelines
    • Lead multi-engineer projects from technical scoping through delivery
    • Mentor AI Engineers on prompt optimization strategies, experimental rigor, and pipeline design patterns
    • Stay ahead of the LLM and agentic AI landscape; assess emerging models, frameworks, and techniques

    Nice to have:

    • Domain experience in cybersecurity, threat detection, or security operations
    • Experience with large-scale data pipelines and MLOps/LLMOps infrastructure
    • Background in founding or significantly growing an AI engineering function
    • Published work, open-source contributions, or conference presentations in the AI/ML space

    Other:

    • We're a small, fast-moving team. We ship continuously, stay close to customers, and hold ourselves to a high standard.
    • The process: Application Review > Recruiter Screening > Hiring Manager Interview > Technical Interviews > Virtual Onsite

    Prepare for this role

    Recommended resources to build the skills for this position. Sponsored.

    Python for Everybody Specialization

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    Learn Python from scratch — variables, data structures, web scraping, and databases.

    Python 3 Programming Specialization

    Coursera

    Intermediate Python covering classes, inheritance, APIs, and data processing.

    Generative AI with Large Language Models

    Coursera

    Comprehensive LLM course covering transformer architecture, fine-tuning, RLHF, and deployment.

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