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    Home/Jobs/Principal Engineer - AI

    Principal Engineer - AI

    Safe Security

    Bengaluru
    12+ years
    Today
    ₹50–88 LPA
    Full-time
    Onsite

    Skills Required

    LLM
    RAG
    LangChain
    LlamaIndex
    Vector Database
    Python
    Go
    TypeScript
    AWS SageMaker
    Snowflake
    MLOps

    Description

    At Safe Security, we're building an AI-driven engine that gives the C-Suite a clear, quantified, and real-time view of their security posture. We're a $170M Series C-funded category leader serving 10% of the Fortune 500. We're looking for a Principal Engineer - AI to define and lead the technical direction of AI systems powering our products.

    Company: Safe Security

    Role: Principal Engineer - AI

    Location: Bengaluru, Karnataka, India

    Experience:

    • 12+ years total experience in software engineering
    • 4+ years building AI/ML systems or large-scale data/LLM infrastructure

    Key Skills:

    • Python
    • Go
    • TypeScript
    • LLM-based architectures
    • prompt engineering
    • RAG pipelines
    • LangChain
    • LlamaIndex
    • vector databases (FAISS, Pinecone, Weaviate, Redis Vector, Milvus)
    • cloud model deployment (AWS SageMaker, Bedrock, Vertex AI)
    • data systems (Snowflake, Iceberg, S3, Postgres/MySQL)
    • MLOps & Infra

    Qualification:

    • Strong programming fundamentals

    Role Focus:

    • Architect Safe’s AI Systems: Design and scale AI-driven components
    • Productionize AI Agents: Build multi-turn, goal-oriented agent systems
    • AI Infrastructure & Platform Ownership: Operationalize model serving
    • Data Pipeline & Knowledge Graph Integration: Design pipelines for structured and unstructured data ingestion
    • AI Evaluation, Monitoring & Governance: Define internal frameworks for golden dataset validation
    • Mentor & Multiply: Guide AI and backend engineers on architectural design

    Nice to have:

    • Experience integrating AI into cybersecurity or risk management products
    • Familiarity with multi-agent systems and autonomous workflows
    • Experience building AI evaluation dashboards and AI observability stacks
    • Knowledge of knowledge graphs, semantic search, or retrieval pipelines
    • Exposure to data governance, compliance, or SOC2/ISO 27001 environments

    Other:

    • On-site, full-time
    • Meaningful Equity: Every 'Safestar' is a shareholder
    • Unlimited Leaves
    • Comprehensive Benefits: Top-tier medical insurance and wellness benefits
    • Career Trajectory: Aggressive growth for high-performers

    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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