Pear VC
Founding AI Engineer - Manhattan Labs
San Francisco Bay Area
Sponsorship not specifiedDetected 62 days ago
TypeScriptPythonBackend DevelopmentCI/CDDevOpsAPI DevelopmentLLMsRAGAgentic AIAI OrchestrationA/B TestingIncident ResponseResearch
About the role
- Financial crime is becoming more sophisticated.
- Compliance teams are overwhelmed by manual workflows and fragmented systems.
- Community banks, despite managing billions in assets, lack the tooling to keep up.
Responsibilities
- You'll architect and build an AI-native platform that operates as the investigative brain for compliance teams.
- By reimagining KYB and AML as autonomous intelligence, you'll help build the platform that becomes the default compliance infrastructure for thousands of community banks, that each manage assets worth billions of dollars.
- Design, build, and operate RAG and agentic systems over complex financial data (corporate registries, sanctions lists, beneficial ownership, adverse media), with clear evaluation metrics for accuracy, latency, and cost
- Develop scalable backend services for document processing (PDF/OCR/CSV), async job queues, case lifecycle orchestration, and risk scoring with confidence-driven UX and human-in-the-loop controls
- Own the productionization of AI systems, including evaluation pipelines, dataset/version management, and safe rollout strategies (A/B testing, guardrails, fallback behavior)
Nice to have
- Establish CI/CD, deployment pipelines, runbooks, and incident response practices from the ground up
- Work directly with the founding team to define architecture, technical roadmap, and product direction
- 1+ years of experience on technical projects with startup experience strongly preferred
- Hands-on experience shipping LLM integrations or RAG systems into production user-facing products
- Experience with document processing, entity extraction, and structured data extraction from messy real-world sources
- Proven track record taking a product from "works locally" to reliable production at growing scale
- Debugging instincts across frontend, backend, infra, and data boundaries - and an ownership mindset to match
- Knowledge of KYC/KYB/AML workflows, sanctions screening, beneficial ownership data, or regulated fintech
Skills
- Strong TypeScript and Python skills across modern frontend and backend stacks
Compensation
- We believe in generous, top-tier compensation and benefits for our employees:
Benefits
- Competitive salary and equity
- 100% health, dental, and vision coverage
- Commuter stipend
- We believe in generous, top-tier compensation and benefits for our employees:
- You'll work directly with the founding team, own technical decisions, and lay the foundation for a potentially massive and fast-growing SaaS company.
Company info
- We're building the AI-native compliance platform for community banks and financial institutions.
- Regulatory pressure is intensifying.
- "What is our exposure to this entity across all customers?"
- Propose and engage in cutting-edge AI research related to our mission, particularly around agentic reasoning over regulatory and financial data
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