AI Forward Engineer

Nuuvia is the leading provider of intelligent lifecycle banking solutions for community banks and credit unions. They are seeking an AI Forward Engineer to embed AI into their operations and work closely with credit union partners to develop AI-powered solutions that enhance customer engagement and compliance within the financial sector.

Responsibilities:

• 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 LangChain, LlamaIndex, Semantic Kernel, Microsoft Promptflow, 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 — compliance is a design constraint, not a blocker
• Partner with internal compliance and external regulators to ensure AI-generated content and AI-assisted decisions meet documentation, explainability, and audit requirements
• Ensure AI-generated content reaching members or affecting account decisions can be explained in plain language
• Document AI model behavior, known limitations, and risk mitigations to a standard appropriate for regulated examination
• Treat audit readiness as a continuous practice — automated evidence collection, control testing, and policy enforcement around AI systems
• Extend NautBot — Nuuvia's internal AI agent that automates engineering ops, monitoring sweeps, ticket triage, and routine workflows across Microsoft Teams, Jira, Datadog, and Azure — and expand its coverage to additional client-facing surfaces
• Build reliable, observable automation pipelines with full traceability
• Drive Chat Action Center automation for day-to-day workflows and tasks
• Automate internal and client-facing workflows — Jira blocked-ticket detection, sprint automation, story-point estimation, escalation routing, deployment alerts, incident summaries
• Ensure all automated client-facing messages are accurate, auditable, and contextually appropriate
• Treat every deployed AI feature as an evolving system: instrument feedback, watch real usage, and rapidly iterate
• Translate field signal into product priorities: what worked, what failed, what regulators flagged, what FIs asked for
• Partner with Engineering, Product, Implementation, and CSM teams to keep client-specific work from forking the core platform