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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.
Job Responsibility
Forward Deployment & Client AI Solutions: Embed with credit union partners to identify high-value AI use cases
Translate field requirements into production AI features that ship to that FI within weeks
Customize AI workflows per institution while preserving a reusable core
Run AI-enablement sessions with FI leadership, ops, and member service teams
Operate as the technical face of Nuuvia AI to credit unions
AI Systems & Model Engineering: Own model selection
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
Maintain a model registry
Monitor for model drift, hallucination rates, and output degradation
AI Guardrails & Responsible Use
Regulated-Industry Awareness
AI Agent & Automation Infrastructure: Extend NautBot
Build reliable, observable automation pipelines
Drive Chat Action Center automation
Automate internal and client-facing workflows
Field Feedback Loop
Requirements
Bachelor’s degree in computer science, Engineering, or related field
4–7 years of software engineering experience, with at least 2 years shipping AI/LLM-powered systems to production
Strong Python (primary) and/or TypeScript
Hands-on experience with LLM APIs — prompt engineering, function calling, tool use, agent patterns
Demonstrated experience building guardrails or safety systems for AI: PII masking, output filtering, audit logging
Practical understanding of model risk management — documentation, validation, monitoring
Experience with at least one relevant framework: LangChain, LlamaIndex, Semantic Kernel, Guardrails AI, or Microsoft Promptflow
Solid security fundamentals: OAuth 2.0, secret management, least-privilege API access
Experience with Azure (App Services, Azure OpenAI, Key Vault, Monitor) or equivalent cloud platform
Comfort working in a regulated industry — or proven ability to learn fast and partner with compliance teams to ensure AI systems meet regulatory expectations
Comfort working in a small, senior team with minimal layers — no project managers, no ticket groomers, no handholding
Customer-facing maturity: can run a meeting with a credit union CIO, COO, or fraud officer and walk out with aligned next steps
Nice to have
Forward Deployed Engineer (FDE) background — Palantir, Sierra, Glean, Anthropic Solutions, OpenAI Forward Deployed, Brex Forward Deployed, or equivalent customer-embedded AI engineering role
Experience with Azure OpenAI Service and Azure AI content filtering/safety features
Familiarity 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 development
Experience with general-purpose agent harnesses (OpenClaw, Hermes, or equivalent)
Fine-tuning experience (LoRA/PEFT) — nice to have, not required
What we offer
Competitive salary and bonus structure
Comprehensive benefits package including health, dental, and 401(k)
Dynamic work environment with passionate, driven colleagues
Opportunity to shape the future of digital banking and payments on a global scale