Job Opportunities API

Who You Are You are an engineer who codes with AI as a first-class tool, not an add-on. You pair traditional technical training with a forward-leaning approach to agentic coding, rapid prototyping, and multi-agent workflows. You move fast, iterate with stakeholders, and care about shipping things that work. You're comfortable building prototype applications across the stack — backend, frontend, data, cloud — and you'd rather be handed an ambiguous problem and trusted to figure it out than wait for instructions. You can communicate directly with clients and cross-functional teams, and you bring a startup mindset: self-driven, curious, constructive, and motivated by mission over process. You understand that working in regulated environments means building responsibly, with a compliance mindset baked into how you code and ship. You have new ideas you're willing to test, fail, and iterate on — ultimately demonstrating impact that expands existing value or opens entirely new markets. Who We Are Quantifind helps some of the world’s biggest banks catch money laundering and fraud. Quantifind also works with government agencies to use the same platform to uncover criminal networks and combat money laundering committed by internationally sanctioned entities. Unlike other players in this space, Quantifind delivers results as software-as-a-service (SaaS) with consumer-grade user experiences.  Quantifind is a data science technology company whose AI platform uncovers signals of risk across disparate and unstructured text sources. In financial crimes risk management, Quantifind’s solution uniquely combines internal financial institution data with public domain data to assess risk in the context of Know Your Customer (KYC), Customer Due Diligence (CDD), Fraud Risk Management, and Anti-Money Laundering (AML) processes. Today these compliance processes are burdened by ever-increasing regulatory responsibilities and an expectation of frictionless transactions. Legacy technologies demand increasingly more human resources as the operations expand; Quantifind’s SaaS solution offers a way to cut through the inefficiency and enhance effectiveness simultaneously.  To help you succeed, we provide a supportive environment that fosters collaboration between teams and team members, where learning and professional growth are considered a key part of your success, and of ours. We offer a flexible work environment with a family friendly work-life balance. What a Great Candidate Looks Like US Citizen  4+ years of professional experience, including graduate or Ph.D. work if relevant Technical education; post-graduate education preferred Forward-leaning in AI coding with traditional technical training as a foundation Hands-on with AI coding tools and agentic workflows (Claude Code, GPT/Codex, Cursor, Windsurf), including multi-agent approaches for testing and validation Core stack: Python, JavaScript/React, PostgreSQL. Helpful: Spark/PySpark, Scala, R, and other large-scale data tooling Ability to communicate directly with clients and cross-functional teams, and to rapidly iterate and co-develop with stakeholders Self-driven, mission-driven, curious, and constructive; startup mindset with strong communication skills Ability to provide references and meet in person Sharable evidence of proven work — portfolios, websites, projects, or competitions (preferred) The Opportunity We Offer As an Applied AI Engineer on Quantifind's AI Systems team, you'll be responsible for rapid prototyping and development of independent AI-driven workflows and capabilities. The team's projects prove out and de-risk concepts with external stakeholders and internal resources, while expanding markets for Quantifind as a whole. Application Development: Rapidly prototype and iterate on applications with internal and external stakeholders. Build apps from scratch within given frameworks and resources.