5 months ago
Responsibilities
- Design, build, and operate RAG and agentic systems over complex financial data with measurable accuracy, latency, and cost metrics.
- Develop scalable backend services for PDF, OCR, and CSV document processing, asynchronous job queues, case lifecycle orchestration, and risk scoring.
- Productionize AI systems with evaluation pipelines, dataset and version management, A/B testing, guardrails, and fallback behavior.
- Harden the enterprise platform with authentication controls, role-based access, audit trails, backups, monitoring, and measurable SLOs.
- Establish CI/CD, deployment pipelines, runbooks, and incident-response practices.
- Engage in AI research related to agentic reasoning over regulatory and financial data.
- Define architecture, technical roadmaps, and product direction with the founding team.
Requirements
- At least 1 year 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 understanding of API design, relational databases, and asynchronous job-processing systems.
- Proven ability to take products from local prototypes to reliable production systems at growing scale.
- Ability to debug across frontend, backend, infrastructure, and data boundaries.
- Knowledge of KYC, KYB, AML workflows, sanctions screening, beneficial ownership data, or regulated fintech is preferred.
- Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks is preferred.
- Familiarity with banking APIs, core banking systems, financial data providers, OCR, document intelligence pipelines, cloud deployment, and DevOps is preferred.
- Background in fintech, compliance, RegTech, or other regulated industries is preferred.
- Strong product intuition and user-experience focus are preferred.
Benefits
- Competitive salary and equity are offered, with no compensation figures stated.
- 100% health, dental, and vision coverage.
- Commuter stipend.
- Regular team events and off-sites.
Tech Stack
Categories
About Pear VC
Pear VC is an early-stage venture capital partnership that invests at pre-seed and seed, pairing capital with hands-on support, mentorship, and programs like its PearX accelerator for founding teams. Founded in 2013 and headquartered in Menlo Park, California, it backs software and technology startups across categories. Its portfolio includes companies that reached the public markets, such as DoorDash and Guardant Health.