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    Home/Jobs/Software Engineer, AI (Senior/Staff)

    Software Engineer, AI (Senior/Staff)

    Monarch Money

    United
    5+ years
    Today
    ₹23–44 LPA
    Full-time
    Remote

    Skills Required

    LLM
    Prompt Engineering
    RAG systems
    Fine-tuning
    Vector Database
    Python
    Machine Learning
    Evaluation techniques
    Multi-Agent Systems
    LangGraph
    CrewAI
    AutoGen
    LoRA
    RLHF
    Vertex AI

    Description

    Monarch Money is a personal finance platform looking for a Software Engineer, AI (Senior/Staff) to design, build, and own features that help users understand and manage their money.

    Company: Monarch Money

    Role: Software Engineer, AI (Senior/Staff)

    Location: Remote (US)

    Experience:

    • 5+ years of experience in software engineering
    • 2+ years focused on building and operating production ML/AI systems

    Key Skills:

    • Machine learning
    • AI development
    • Prompt engineering
    • API integrations
    • Multi-agent systems
    • Language models
    • Python

    Qualification:

    • Strong fundamentals in machine learning: embeddings, similarity search, classification, and probabilistic reasoning
    • Excellent Python skills

    Role Focus:

    • Apply AI to Real Financial Problems: Use GenAI and ML to help users make sense of their money
    • Choose the Right Tool for Each Problem: Navigate the AI toolkit thoughtfully
    • Ship with Confidence: Leverage and enhance our sophisticated evaluation framework to ensure AI quality

    Nice to have:

    • Multi-Agent Systems: Designing and building complex LLM orchestration with frameworks like LangGraph, CrewAI, or AutoGen
    • Fine-Tuning: Hands-on experience with LoRA, RLHF, or full fine-tuning on platforms like Vertex AI
    • Fintech Domain: Background in personal finance, banking, or data-rich consumer financial applications
    • Vector Databases: Hands-on experience with OpenSearch, pgvector, Pinecone, or similar at scale
    • Safety & Evaluation: Experience with red-teaming exercises, adversarial testing, and implementing guardrails

    Other:

    • Competitive cash and equity compensation
    • Stipend to set-up your ideal working environment
    • Competitive Benefit Plans
    • Unlimited PTO
    • 3 day weekend every month

    Prepare for this role

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

    Python for Everybody Specialization

    Coursera

    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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