Senior Full-Stack Engineer (AI Products)

About FinArb FinArb is a data-driven analytics and AI consulting firm that builds automated, scalable solutions for complex business problems. We ship production applications and AI-powered products for clients across banking, finance, risk, healthcare, pharma, and education. Our engineering philosophy favors modern cloud-native platforms, strong fundamentals, and a "buy first, build the defensible core" approach — we pick the right tool for each problem rather than forcing one stack. About the Role You'll own features end to end — from data model and API to UI and deployment — across our web applications and AI products. This is a hands-on senior role: you'll architect and build full-stack systems, integrate LLM-driven capabilities (agents, retrieval, tool/function calling), and take responsibility for quality, performance, and shipping. You'll work in both TypeScript/Node and Python ecosystems depending on the engagement, deploy to AWS or Azure, and collaborate closely with data scientists, designers, and client stakeholders. Responsibilities Design, build, and ship full-stack features across frontend, backend, and data layers. Build and consume well-designed REST/GraphQL APIs and services; model the data behind them. Develop modern, responsive UIs and the server-side logic that powers them. Integrate LLM/AI capabilities into applications — agents, retrieval-augmented generation, tool/function calling, and orchestration. Deploy, monitor, and maintain applications on cloud infrastructure (AWS or Azure). Own code quality through reviews, testing, and sound engineering practices. Collaborate with data scientists, analysts, designers, and stakeholders to translate requirements into working software. Contribute to architectural decisions and continuous improvement of the team's standards and tooling. Basic Qualifications Bachelor's or Master's in Computer Science, Engineering, or a related field — or equivalent practical experience. 3–5 years of hands-on full-stack development experience. Strong proficiency in JavaScript/TypeScript and at least one modern frontend framework (React, Next.js, or similar). Solid backend experience in Node.js and/or Python, building and integrating APIs and services. Strong SQL and relational database skills; comfortable with schema design and data modeling. Experience deploying and running applications on a major cloud platform (AWS or Azure). Familiarity with Git, CI/CD, and modern software engineering best practices. Strong problem-solving and debugging skills; effective communicator in a cross-functional team. Preferred Qualifications Hands-on experience building AI/LLM-powered applications — frameworks such as LangGraph or LangChain, the MCP (Model Context Protocol), or agent/RAG architectures. Infrastructure-as-code (CDK, SST, Pulumi, Bicep, or Terraform) and container/serverless deployment (ECS, Lambda, Container Apps). Experience with serverless and edge frameworks (e.g. SST, OpenNext) and full-stack platforms like Next.js in production. Exposure to NoSQL, vector stores, or other AI-adjacent data infrastructure. Familiarity with Go or Rust. BI/visualization or data-product experience. Awareness of data governance and handling of sensitive data (PII/PHI), and compliance frameworks (SOC 2, HITRUST) — relevant for our healthcare and finance clients.