Monarch Money - Software Engineer, AI (Senior/Staff)
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Requirements
• 5+ years of experience in software engineering, with at least 2 years focused on building and operating production ML/AI systems. • 5+ years • 2 years • A proven track record of shipping LLM-powered features, with deep, hands-on expertise in prompt engineering, RAG systems, and evaluation techniques. • Strong fundamentals in machine learning: embeddings, similarity search, classification, and probabilistic reasoning. • Demonstrated experience building and using AI evaluation tooling (e.g., golden sets, rubric scoring, LLM-as-judge). • Excellent Python skills and a history of building production-grade AI features and services. • Strong collaboration and communication skills with a sharp product sensibility. • A strategic mindset, comfortable making build-vs-buy decisions and designing features for long-term reliability. • Multi-Agent Systems: Designing and building complex LLM orchestration with frameworks like LangGraph, CrewAI, or AutoGen. • Multi-Agent Systems: • Fine-Tuning: Hands-on experience with LoRA, RLHF, or full fine-tuning on platforms like Vertex AI. • Fine-Tuning: • Fintech Domain: Background in personal finance, banking, or data-rich consumer financial applications. • Fintech Domain: • Vector Databases: Hands-on experience with OpenSearch, pgvector, Pinecone, or similar at scale. • Vector Databases: • Safety & Evaluation: Experience with red-teaming exercises, adversarial testing, and implementing guardrails. • Safety & Evaluation: • Typical Process: • Typical Process: • Recruiter Video Call • Hiring Manager Video Call • Technical Assessment (Live Coding) • Virtual Onsite consisting of 3 rounds • Reference Checks
Responsibilities
• Choose the Right Tool for Each Problem: Navigate the AI toolkit thoughtfully. Know when a well-crafted prompt suffices, when retrieval systems add value, and when custom models are worth the investment. You'll balance innovation with pragmatism to ship features that work reliably at scale. • Choose the Right Tool for Each Problem: • Ship with Confidence: Leverage and enhance our sophisticated evaluation framework to ensure AI quality. You'll design test datasets, implement new scorers, and use our Braintrust-based eval system to validate changes before they reach users. • Ship with Confidence: • A Partnership with AI Platform • You Own: AI feature development, agent design and orchestration, ML model improvements, evaluation datasets and scorers, prompt engineering, and feature-level quality. • You Own: • AI Platform Owns: LLM routing and provider management, observability and cost attribution, infrastructure reliability, and shared AI services. • AI Platform Owns: • Together You Own: End-to-end feature quality, evaluation frameworks, production incident response, and AI roadmap priorities. • Together You Own:
Benefits
• Work wherever you want! As a fully remote company with no central office, we want you to work wherever you are happiest and most productive. Whether that’s out of your home, a co-working space, or elsewhere. • fully • Competitive cash and equity compensation in a hyper growth, early stage company 🚀. • Stipend to set-up your ideal working environment. • Competitive Benefit Plans for employees based on your location (e.g. in the US we offer: Medical, dental and vision benefits and the ability to contribute to a 401k plan). • 3 day weekend every month! We take off the “First Friday” every month to focus on rest, recuperation, or just having fun!
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