Founding AI Engineer - Manhattan Labs
Remote • San Francisco Bay Area • FullTime
Posted 5mo ago
Job Location
San Francisco Bay Area
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Engineer
About the job
Manhattan Labs is building an AI-native compliance platform for community banks and financial institutions, addressing the challenges of intensifying regulatory pressure and sophisticated financial crime. The platform aims to provide an intelligence layer that can answer complex compliance questions with defensible, auditable answers. This is a founding engineer role where you will architect and build the AI-native platform, taking it from an early-stage MVP to a secure, reliable, enterprise-grade system. You will work directly with the founding team, own technical decisions, and lay the foundation for a fast-growing SaaS company by reimagining KYB and AML as autonomous intelligence.
Responsibilities
- Design, build, and operate RAG and agentic systems over complex financial data with clear evaluation metrics for accuracy, latency, and cost.
- Develop scalable backend services for document processing, async job queues, case lifecycle orchestration, and risk scoring.
- Own the productionization of AI systems, including evaluation pipelines, dataset/version management, and safe rollout strategies.
- Harden the platform for enterprise with auth controls, role-based access, audit trails, backups, and monitoring.
- Establish CI/CD, deployment pipelines, runbooks, and incident response practices.
- Propose and engage in cutting-edge AI research related to agentic reasoning over regulatory and financial data.
- Work directly with the founding team to define architecture, technical roadmap, and product direction.
Requirements
- 1+ years of experience on technical projects with startup experience strongly preferred.
- Strong TypeScript and Python skills across modern frontend and backend stacks.
- 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.
- Solid grasp of API design, relational databases, and async job processing systems.
- Proven track record taking a product from 'works locally' to reliable production at growing scale.
- Debugging instincts across frontend, backend, infra, and data boundaries with an ownership mindset.
Benefits
- Competitive salary and equity
- 100% health, dental, and vision coverage
- Commuter stipend
- Regular team events and off-sites