QAEngineer

ABOUT TITAN Titan builds AI software for banks: purpose-built small language models, a banking ontology, and AI bankers that financial institutions can trust. Our models outperform general-purpose LLMs by 30 to 80 percent on banking tasks. Customers include community banks, credit unions, and large regional and super-regional institutions. We are backed by leading fintech investors and operate under the compliance, audit, and model-risk standards that banking requires. WHY THIS ROLE EXISTS Titan is scaling from a handful of live banking customers to thirty, then to hundreds. Right now, there is no formal QA function. There is no evaluation framework, no regression baseline, no quality gate in CI/CD. A QA failure at a bank is not a user experience problem. It is an operational and regulatory risk. This role exists because that gap has to close before the customer count grows. This is a hands-on, individual-contributor role first. You are coming in to do the work: write the test cases, build the evaluation framework, set up CI/CD gates, and triage bugs alongside engineering. The function gets built because you build it yourself. Once the practice is stable and documented, you bring in QE engineers to scale it. WHAT YOU OWN AI Evaluation. You personally design and execute the evaluation framework for LLM and agentic AI outputs across Foundry, Agent Builder, and client-deployed instances. You write the assertions, define the behavioral contracts, and own regression baselines for model behavior. Standard QA methods break down here: you cannot write a deterministic assertion for whether an AI accurately summarized a 200-page loan agreement. You need to think in distributions and confidence intervals, and you need to build tooling that does too. Test Coverage. You write and maintain the automated test suite: end-to-end, integration, and regression coverage for backend APIs, document ingestion pipelines, AI inference workflows, and frontend surfaces. You own performance and