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# Cloud DB Architect / ML & Agentic AI Engineer

- **Company:** KNUFF & KUNDE PLLC
- **Location:** Eagle, ID, United States
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Software as a Service, Cloud Computing, Cloud Engineering, Data Infrastructure, Data Integrity, DevOps, Design of User Interfaces, Python (Programming Language), PostgreSQL, Linux System Administration, Query Optimization, Role-Based Access Control, Large Language Models, Backend, Fastapi, Data Layers, Virtual Agents, Docker
- **Published:** July 23, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9da20ea629da8e03

## About the Role

AI Systems

 * Production experience building agentic workflows against Vertex AI and/or Claude APIs
 * Strong grasp of RAG architecture and retrieval strategies
 * Practical techniques for constraining LLM outputs - structured outputs, tool-use validation, state tracking across multi-turn tasks, and recovery/fallback logic when a step fails or hallucinates

Backend & Data

 * Python 3.10+, FastAPI, AsyncIO at a production level
 * PostgreSQL schema design for relational + JSONB data, query optimization, pgvector implementation and tuning

Cloud & DevOps

 * GCP experience strongly preferred
 * Docker, Linux administration, CI/CD pipeline design
 * Comfortable owning infrastructure decisions with minimal oversight

Security

 * "Secure by design" development practices
 * Encryption at rest/in transit, RBAC implementation
 * Experience architecting data-loss prevention boundaries - specifically around what does and doesn't leave your infrastructure when calling external AI APIs
 * Familiarity with compliance considerations for sensitive PII (financial data experience a plus)

## Description

We're building proprietary AI software for our accounting firm, transitioning our internal tools into a multi-tenant SaaS platform. Independently funded with no outside investors - you'll have the runway to build this the right way, not the fastest way. You'll join our developer and UI/UX designer to own the cloud architecture, data infrastructure, and agentic AI systems end-to-end.

What You'll Own

Agentic AI Workflows
Design and harden autonomous AI agents (Vertex AI, Claude) that reliably execute multi-step financial workflows - with validation layers, fallback logic, and guardrails against hallucination and context drift.

Cloud Infrastructure
Architect the migration from a local environment to a secure, scalable, multi-tenant cloud deployment ready for external firms to onboard.

Data Layer
Design and optimize PostgreSQL schemas handling complex financial data alongside vector-based AI memory (pgvector) - with zero tolerance for data integrity issues., * How do you engineer agentic workflows against external APIs (Vertex/Claude) so they reliably execute multi-step tasks without hallucinating or losing context?

 * How do you balance rapid MVP deployment against the strict data privacy requirements of sending financial PII to an external AI provider?


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