Member of Technical Staff
Build AI agents that navigate digital environments and perform user tasks. Requires strong AI/ML experience, Python proficiency, and product intuition.
Member of the Technical Staff — AI/ML
Designs, builds, and deploys production AI/ML systems for financial operations like invoice matching and payment reconciliation. Requires 5+ years software engineering with 2+ years applied AI/ML, expertise in LLMs, RAG, and Python/PyTorch.
220k – 375kSan Francisco, CANew York, NYML EngineeringOnsite5+ YOE
About the role
What You’ll Do
- Build & Deploy: Create production-ready AI applications that directly address customer financial workflow challenges.
- Optimize AI Features: Implement and refine capabilities like invoice matching, payment reconciliation, and financial document processing.
- Adapt & Fine-Tune Models: Apply and optimize LLMs, RAG systems, and other AI architectures for specific financial use cases.
- Engineer for Scale: Develop robust AI pipelines from data ingestion through inference, ensuring reliability, scalability, and maintainability.
- Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations.
- Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions.
- Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes.
You Might Be a Fit If You…
- Have 5+ years of software engineering experience, with at least 2 years focused on applied AI/ML in production environments.
- Have integrated and fine-tuned LLMs for real-world applications.
- Have built retrieval-augmented generation (RAG) systems for document-intensive workflows.
- Understand MLOps best practices, from model deployment pipelines to monitoring and A/B testing.
- Are fluent in Python and experienced with PyTorch, TensorFlow, and Transformers.
- Have shipped AI products that solved real business problems — not just prototypes.
- Have strong experience with data preprocessing and feature engineering for AI.
- Can translate business requirements into clear, impactful technical solutions.
- Have experience integrating AI systems into existing enterprise platforms.
Compensation
Top-of-market salary and equity package
Benefits (for U.S.-based full-time employees)
- Medical, dental & vision insurance coverage for you
- 401(k) & Match
- Equity
- Flexible PTO
- Parental Leave
Skills
PythonPyTorchTensorFlowTransformersLLMsRAGMLOpsData PreprocessingFeature Engineering
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