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MonarchMonarchUnited States

Software Engineer, AI (Senior/Staff)

Build and own AI features for personal finance app using GenAI, ML, prompt engineering, RAG, and multi-agent systems. Requires 5+ years engineering with 2+ years production AI/ML, strong Python, and evaluation expertise.

Salary not listed
Remote5+ YOEML Engineering

About the role

What You'll Do

  • Apply AI to Real Financial Problems: Use GenAI and ML for spending patterns, actionable insights, and automating financial tasks.
  • Choose the Right Tool: Balance prompts, retrieval systems (RAG), and custom models for reliable scale.
  • Ship with Confidence: Design test datasets, implement scorers, and use Braintrust-based eval system.

Partnership with AI Platform:

  • You Own: AI feature development, agent design, ML improvements, evaluation, prompt engineering.
  • AI Platform Owns: LLM routing, observability, infrastructure.
  • Together: End-to-end quality, frameworks, incident response, roadmap.

What You'll Bring

  • 5+ years software engineering, 2+ years production ML/AI systems.
  • Proven LLM features with prompt engineering, RAG, evaluation.
  • ML fundamentals: embeddings, similarity search, classification, probabilistic reasoning.
  • AI evaluation tooling (golden sets, rubric scoring, LLM-as-judge).
  • Excellent Python for production AI features.
  • Strong collaboration, product sensibility, strategic mindset.

Nice to Haves

  • Multi-Agent Systems: LangGraph, CrewAI, AutoGen.
  • Fine-Tuning: LoRA, RLHF, Vertex AI.
  • Fintech background.
  • Vector Databases: OpenSearch, pgvector, Pinecone.
  • Safety: red-teaming, guardrails.

Benefits

  • Fully remote work.
  • Competitive cash and equity.
  • Setup stipend, competitive benefits (medical, dental, vision, 401k), unlimited PTO, monthly 3-day weekend.

Skills

PythonPrompt EngineeringRAGLLMsMachine LearningEmbeddingsSimilarity SearchAi EvaluationBraintrustLangGraphCrewaiAutogenLoraRLHFVector Databases

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