Arva AI

Arva AI

Arva AI is a technology company based in San Francisco, founded by Rhim Shah and Oli Wales. The company specializes in AI agents that automate financial crime compliance for banks and fintech firms. By significantly reducing manual review times and enhancing risk detection, Arva AI aims to improve the efficiency of compliance operations. The company offers an integrated AI platform that automates various compliance tasks, including Know Your Customer (KYC) and Know Your Business (KYB) verifications, screening, and transaction monitoring. Its proprietary Arva Intel engine processes structured and unstructured data to deliver risk summaries and research findings. Arva AI's solutions enable faster onboarding and scalable alert handling, allowing human analysts to focus on more complex cases. The company has gained traction with top banks in the UK and US, receiving positive feedback for its impact on risk and compliance operations.

financial services
11-50
Founded 2024
$3M raised

Description

  • Design, build, and maintain LLM-powered and agentic workflows using frameworks such as LangGraph and LangChain.
  • Develop and productionize AI/ML services in Python, including multi-model architectures for routing, specialization, and ensemble prediction.
  • Build and extend backend services and APIs in Django with PostgreSQL and PostGIS.
  • Implement front-end features and internal tooling in TypeScript and Vue.js.
  • Build and optimize data processing pipelines for geospatial, agronomic, imagery, and third-party data.
  • Develop and maintain external partner and customer API integrations, including authentication, rate limiting, schema mapping, error handling, and monitoring.
  • Deploy, scale, and operate services on AWS using managed compute, storage, database, queueing, and serverless services.
  • Design and execute QA/QC processes for software, data, and model outputs, including testing, validation, anomaly detection, and regression checks.
  • Participate in code reviews, architecture discussions, technical planning, and documentation.
  • Partner with data scientists, agronomists, and product stakeholders to translate requirements into production systems.

Requirements

  • 2–5 years of professional software development experience building and shipping production systems.
  • Strong proficiency in Python, including modern application frameworks, testing, and packaging practices.
  • Experience building applications or services that use large language models or other machine learning models in production.
  • Working knowledge of relational databases and SQL, including schema design and performant queries.
  • Experience developing and consuming RESTful APIs.
  • Familiarity with cloud infrastructure, preferably AWS, and practices including version control, CI/CD, and automated testing.
  • Ability to work independently on ambiguous problems and communicate technical trade-offs clearly.
  • Bachelor's degree in Computer Science, Software Engineering, a related technical field, or equivalent practical experience.
  • Experience building agentic and LLM applications with Amazon Bedrock, LangGraph, or LangChain (preferred).
  • Advanced PostgreSQL experience, including performance tuning and PostGIS (preferred).
  • Proficiency with TypeScript, JavaScript, and Vue.js (preferred).
  • Prior work in agriculture, agronomy, remote sensing, climate, energy, or environmental markets (preferred).
  • Must be currently eligible to work in the United States.

Benefits

  • Base salary range of $115K–$145K.
  • Target annual bonus.
  • 401(k) contribution.
  • Flexible PTO.
  • Stock options.
  • 100% employer-paid health insurance premiums.
  • Remote work environment.

Interested in this position?

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