[Remote] AI Forward Engineer

Note: The job is a remote job and is open to candidates in USA. 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.ResponsibilitiesEmbed with credit union partners to identify high-value AI use cases — youth onboarding, financial coaching, support deflection, fraud signal detection, internal ops automationTranslate field requirements into production AI features that ship to that FI within weeks, not quartersCustomize AI workflows per institution while preserving a reusable core balance with generalityRun AI-enablement sessions with FI leadership, ops, and member service teamsOperate as the technical face of Nuuvia AI to credit unions: requirements gathering, demos, joint design reviews, and post-launch iterationOwn model selection: match the right model to each task based on capability, cost, latency, privacy posture, and regulatory riskBuild agent and RAG pipelines using frameworks such as LangChain, LlamaIndex, Semantic Kernel, Microsoft Promptflow, or in-house equivalentsImplement prompt engineering, function calling, tool use, and multi-step agent patterns hardened for production reliabilityMaintain a model registry — track which models are in use, for what purpose, which version, and last evaluation dateMonitor for model drift, hallucination rates, and output degradation; drive measurable cost efficiency through token budgeting, caching, batching, prompt compression, and smart model routingDesign and implement guardrails for every AI-assisted workflow: prompt injection prevention, PII detection and masking, output filtering, and content safetyBuild audit trails and logging for all AI interactions — every prompt, every response, every action taken — to support regulatory examinationImplement 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 toolingEnsure no member PII flows through external model APIs without explicit anonymization or approvalOperate with full awareness that Nuuvia serves federally regulated financial institutions — compliance is a design constraint, not a blockerPartner with internal compliance and external regulators to ensure AI-generated content and AI-assisted decisions meet documentation, explainability, and audit requirementsEnsure AI-generated content reaching members or affecting account decisions can be explained in plain languageDocument AI model behavior, known limitations, and risk mitigations to a standard appropriate for regulated examinationTreat audit readiness as a continuous practice — automated evidence collection, control testing, and policy enforcement around AI systemsExtend 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 surfacesBuild reliable, observable automation pipelines with full traceabilityDrive Chat Action Center automation for day-to-day workflows and tasksAutomate internal and client-facing workflows — Jira blocked-ticket detection, sprint automation, story-point estimation, escalation routing, deployment alerts, incident summariesEnsure all automated client-facing messages are accurate, auditable, and contextually appropriateTreat every deployed AI feature as an evolving system: instrument feedback, watch real usage, and rapidly iterateTranslate field signal into product priorities: what worked, what failed, what regulators flagged, what FIs asked forPartner with Engineering, Product, Implementation, and CSM teams to keep client-specific work from forking the core platformSkillsBachelor's degree in computer science, Engineering, or related field (Master's a plus)4–7 years of software engineering experience, with at least 2 years shipping AI/LLM-powered systems to productionStrong Python (primary) and/or TypeScript. Comfortable across the full stack when neededHands-on experience with LLM APIs — prompt engineering, function calling, tool use, agent patternsDemonstrated experience building guardrails or safety systems for AI: PII masking, output filtering, audit loggingPractical understanding of model risk management — documentation, validation, monitoringExperience with at least one relevant framework: LangChain, LlamaIndex, Semantic Kernel, Guardrails AI, or Microsoft PromptflowSolid security fundamentals: OAuth 2.0, secret management, least-privilege API accessExperience with Azure (App Services, Azure OpenAI, Key Vault, Monitor) or equivalent cloud platformComfort working in a regulated industry — or proven ability to learn fast and partner with compliance teams to ensure AI systems meet regulatory expectationsComfort working in a small, senior team with minimal layers — no project managers, no ticket groomers, no handholdingCustomer-facing maturity: can run a meeting with a credit union CIO, COO, or fraud officer and walk out with aligned next stepsForward Deployed Engineer (FDE) background — Palantir, Sierra, Glean, Anthropic Solutions, OpenAI Forward Deployed, Brex Forward Deployed, or equivalent customer-embedded AI engineering roleExperience with Azure OpenAI Service and Azure AI content filtering/safety featuresFamiliarity with model evaluation frameworks (LangSmith, PromptFlow Evals, custom eval pipelines)Experience with PII detection and masking tools (Microsoft Presidio, AWS Comprehend, or similar)Prior experience in a regulated industry (financial services, healthcare, government)RAG patterns + vector search (Azure AI Search, Pinecone, pgvector)Microsoft Teams bot / connector developmentExperience with general-purpose agent harnesses (OpenClaw, Hermes, or equivalent)Fine-tuning experience (LoRA/PEFT) — nice to have, not requiredCompany OverviewWhere are teen deposits going? Somewhere else. It was founded in undefined, and is headquartered in Portland, Oregon, US, with a workforce of 11-50 employees. Its website is https://Nuuvia.com.