AI Forward Engineer

Nuuvia, a Tyfone group subsidiary, is the leading provider of intelligent lifecycle banking solutions for community banks and credit unions. Designed to easily integrate with a financial institution’s existing digital banking infrastructure, Nuuviaʼs platform helps institutions acquire, retain, and more effectively engage account holders across multiple generations with personalized digital experiences as a Nuuvia-branded service, a co-branded service, or under the institution’s white-label brand.

Nuuviaʼs flagship digital youth banking module is live with dozens of community banks and credit unions across the country, enabling them to acquire, grow, and retain youth accounts and deposits, promote financial health, and build long-term loyalty in an increasingly competitive marketplace.

Nuuvia is an equal opportunity employer. We encourage candidates from diverse backgrounds to apply.

Reporting to the Director of Engineering, we are seeking an AI Forward Engineer to embed AI deeply into how Nuuvia builds, operates, and serves 40+ community financial institutions. This is a builder‑meets‑deployer role: half of your time will be designing and shipping production AI systems, the other half will be embedded with our credit union partners, translating their workflows and pain points into reliable AI‑powered solutions.

You sit at the intersection of applied AI, regulated‑industry compliance, and customer success. You will own AI features end‑to‑end — from prompt design and model selection through deployment, monitoring, and field iteration with real members and operators. This is not a research role; we ship to production environments serving real member financial data, in a regulated industry where compliance is a design constraint, not an afterthought.

You will work cross‑functionally with engineering, design, sales, customer success, and executive leadership to build a category‑defining solution for community financial institutions.

• Embed with credit union partners to identify high‑value AI use cases — youth onboarding, financial coaching, support deflection, fraud signal detection, internal ops automation.
• Translate field requirements into production AI features that ship to that FI within weeks, not quarters.
• Customize AI workflows per institution while preserving a reusable core balance with generality.
• Run AI‑enablement sessions with FI leadership, ops, and member service teams.
• Operate as the technical face of Nuuvia AI to credit unions: requirements gathering, demos, joint design reviews, and post‑launch iteration.
• Own model selection: match the right model to each task based on capability, cost, latency, privacy posture, and regulatory risk.
• Build agent and RAG pipelines using frameworks such as Lang Chain, Llama Index, Semantic Kernel, Microsoft Prompt flow, or in‑house equivalents.
• Implement prompt engineering, function calling, tool use, and multi‑step agent patterns hardened for production reliability.
• Maintain a model registry — track which models are in use, for what purpose, which version, and last evaluation date.
• Monitor for model drift, hallucination rates, and output degradation; drive measurable cost efficiency through token budgeting, caching, batching, prompt compression, and smart model routing.

• Design and implement guardrails for every AI‑assisted workflow: prompt injection prevention, PII detection and masking, output filtering, and content safety.
• Build audit trails and logging for all AI interactions — every prompt, every response, every action taken — to support regulatory examination.
• Implement human‑in‑the‑loop controls for AI‑assisted decisions with regulatory exposure (member‑facing content, account actions, eligibility logic).
• Apply industry‑standard LLM security frameworks as a baseline across all AI tooling.
• Ensure no member PII flows through external model APIs without explicit anonymization or approval.

• Operate with full awareness that Nuuvia serves federally regulated financial institutions —…