Pear-VC
Founding AI Engineer - Manhattan Labs
San Francisco Bay Area. Posted 5 months ago
The role
You will architect and build an AI-native platform that operates as an investigative brain for compliance teams. You will take the product from early-stage MVP to a secure, reliable, enterprise-grade system.
What you will do
- Design, build, and operate RAG and agentic systems over complex financial data
- Develop scalable backend services for document processing, async job queues, and risk scoring
- Own the productionization of AI systems including evaluation pipelines and rollout strategies
- Harden the platform for enterprise with auth controls, audit trails, and monitoring
- Establish CI/CD, deployment pipelines, runbooks, and incident response practices
- Propose and engage in cutting-edge AI research related to agentic reasoning
- Work with the founding team to define architecture, technical roadmap, and product direction
Required qualifications
- 1+ years of experience on technical projects
- 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
Nice to have
- Startup experience strongly preferred
- Knowledge of KYC/KYB/AML workflows, sanctions screening, beneficial ownership data, or regulated fintech
- Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks
- Familiarity with banking APIs, core banking systems, or financial data providers
- Familiarity with OCR and document intelligence pipelines
- Background in fintech, compliance, RegTech, or other regulated industries
- Cloud deployment experience and DevOps knowledge in security-sensitive environments
- Strong product intuition and user experience focus
Benefits
- Competitive salary and equity
- 100% health, dental, and vision coverage
- Commuter stipend
- Regular team events and off-sites
About the company
Pear-VC is building an AI-native compliance platform for community banks and financial institutions. The team includes engineers and researchers from Stanford, Carnegie Mellon, and IIT Madras.