FinTech

Pinecone

Weaviate

GPT-3

### Role Overview

We are seeking a hands-on **Senior Applied AI / Backend Engineer** to contribute to the development of a cutting-edge risk intelligence platform. This platform is designed to process live regulatory and risk-related data, transforming complex regulatory information into structured rules. These rules will be executed through a deterministic decision engine to classify transactions and support compliance decisions. This position is focused solely on backend development, with no front-end responsibilities.

#### Responsibilities

- Build robust backend services for a risk intelligence and compliance decision-support platform.
- Develop data pipelines to ingest live regulatory and risk data from external sources and APIs, ensuring seamless data integration.
- Create LLM-powered workflows to convert complex regulatory text into structured, machine-readable rules.
- Define structured rule schemas, including predicates, outcomes, citations, confidence scores, and versioning for precise rule management.
- Implement deterministic rules and decision logic to accurately classify transactions and risk scenarios.
- Develop reliable backend APIs, services, and data-processing workflows to support platform functionality.
- Implement validation, confidence scoring, error handling, and fallback mechanisms to ensure the reliability of LLM-generated outputs.
- Facilitate human-in-the-loop review and approval processes before rules are utilized by downstream systems.
- Ensure traceability, versioning, reproducibility, and auditability of regulatory rules and decisions.
- Test extraction and rule performance against real-world test cases and accuracy benchmarks.
- Collaborate closely with domain and compliance stakeholders to validate outputs and refine decision logic.

#### Required Skills

- Proven experience in **productionizing LLM-powered applications**, extending beyond prototypes or prompt experimentation.
- Expertise in **structured data extraction from unstructured text**, including schema-constrained outputs such as JSON, entities, rules, or predicates.
- Strong backend engineering skills, preferably in Python or a comparable backend language.
- Experience in building APIs, data pipelines, external data integrations, and production backend services.
- Proficiency in **LLM evaluation and reliability**, including accuracy measurement, validation, confidence scoring, retries, fallbacks, and ambiguity handling.
- Experience with implementing structured rules, conditional logic, decision workflows, or deterministic systems.
- Familiarity with human-in-the-loop AI workflows requiring review or approval before execution.
- Capability to build systems prioritizing correctness, traceability, and auditability.

#### Nice to Have

- Experience with rules engines, policy engines, predicate logic, or decision engines.
- Background in legaltech, RegTech, fintech, compliance, healthcare, insurance, or other regulated environments.
- Experience in processing regulatory, legal, policy, or compliance documents.
- Exposure to export controls, sanctions, BIS regulations, EU AI Act, or similar regulatory frameworks.
- Experience building live external data feeds or regulatory intelligence pipelines.
- Background in NLP, document intelligence, information extraction, or knowledge representation.
