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Artificial Intelligence Engineer
AMX Healthcaresanta cruz do sul, BrasilHá 23 dias
Descrição da vagaDocument AI pipelines : OCR → classify → extract → validate → post for licenses, immunizations, I-9s, background checks, timesheets, and offers. Enforce strict JSON schemas, confidence scores, and text-span provenance. Compliance automation : Primary-source license checks, date / format rules, name / DOB matching, immunization logic, and timesheet math (REG / OT). Workflow integrations : Event-driven APIs / webhooks across Applicant Tracking Systems , healthcare compliance platforms , job boards , CRM / Marketing systems (e.g., HubSpot or Salesforce ), and Task Management Tools (e.g., Jira, Zoom Tasks). Text message (SMS) automation : AI-assisted campaigns and cadences (opt-in, nurture, reactivation) triggered from ATS / CRM events; personalize copy, schedule sends, ingest replies / MMS docs, and auto-log to the system of record. Comms → system of record : Integrate VoIP / SMS (e.g., RingCentral, TextUs, BeeTexting) with ATS / Compliance to auto-log activity, attach files, and trigger workflows. Customer support & knowledge base automation : Zendesk + knowledge base workflows—AI triage / routing, macro suggestions, agent-assist via RAG with citations, chatbot deflection, and SLA dashboards. Marketing & CMS automation : Content workflows with Jasper AI ; landing / job content in HubSpot CMS , Webflow , or WordPress . Pay package automation : Bill rates + stipends + guaranteed hours → weekly packages with audit trails. Finance, accounting & payroll automation (required) : Integrations with QuickBooks Online or Xero and payroll tools to : Generate invoices from approved time, bill rates, and contract terms; handle credits / adjustments. Sync AR / AP, post journal entries, reconcile payments; surface exceptions for review. Automate payroll prep from timesheets and pay packages; route exceptions to HITL queues with full auditability. Knowledge assistants : RAG chatbots over Confluence / SharePoint / Drive / ATS / CRM with permissions, citations, and human-in-the-loop review. Live reporting : Streams to Google Sheets , Excel , and Power BI for exceptions, credential heatmaps, ready-to-work rosters, AR aging, and payroll variance. Dataset / prompt / embedding versioning; golden test sets; offline / online evals; A / B tests. CI / CD for data and models; rollbacks; feature flags; latency / reliability SLOs; canary / blue-green. Durable orchestration and state (idempotency, retries / backoff, dead-letter handling). Observability (traces / metrics / cost), drift detection, PII / HIPAA redaction, RBAC, audit logs. Cost governance : token / throughput controls, caching / TTL, embedding reuse, batching, FinOps reporting. Strong software engineering in Python and / or C# . Hands-on LLM / RAG (embeddings, retrieval, prompt design, evaluation). Document ingestion at scale (PDF / HTML / images), schema’d extraction, validation. Secure, auditable data design ( HIPAA / PII ), APIs / webhooks, event-driven workflows. Experience integrating enterprise systems (ATS / Compliance / Job Boards / HubSpot / Salesforce ). Experience integrating QuickBooks Online or Xero and payroll tools for automated invoicing / payroll with audit trails. MLOps fundamentals : data / model versioning, CI / CD, monitoring, rollback. Healthcare staffing / credentialing domain. Resume parsing APIs (Sovren, Textkernel, Affinda) or document intelligence services. iPaaS / workflow tools (Zapier / Make), queues, human-in-the-loop review UIs. Deploying AI apps on managed cloud (AKS / App Service or equivalents). Information retrieval, knowledge graphs, or NLP research background. Prior work on compliance-heavy systems (healthcare, finance, government). Zendesk automation; Jasper AI content ops; CMS automation (HubSpot CMS, Webflow, WordPress). Contributions to open-source AI / LLM frameworks or a strong portfolio of shipped AI projects. Founding scope & ownership : Build the AI function—architecture, standards, roadmap. Executive air cover : Direct line to the Head of Engineering; CEO-level sponsorship to ship. Modern, open stack : Integrations across ATS, compliance, job boards, CRM / Marketing (HubSpot / Salesforce) , VoIP / SMS, CMS, accounting / payroll , and reporting—pick the best tool for the job. Mission-critical outcomes : Help clinicians reach the bedside faster with fewer errors—visible impact on placements, revenue, compliance, cash conversion, and payroll accuracy. Remote-first, pragmatic culture : Production over prototypes, HIPAA / PII first, human-in-the-loop where it matters.
AI Engineer – Data & Automation (Healthcare SaaS)
About Us
AMX Healthcare is building a new SaaS platform to transform how healthcare staffing is managed—connecting clients, contractors, and job opportunities with speed and compliance. We’re investing in AI to streamline recruiting, automate data flows, and surface insights from our knowledge base (resumes, job descriptions, Confluence, ATS / CRM, etc.).
Role Overview
We’re hiring an AI Engineer – Data & Automation to design and build intelligent systems that bring structure, insight, and automation to our staffing workflows. You’ll turn unstructured data (resumes, job descriptions, documents, chats) into actionable intelligence using retrieval-augmented generation (RAG) , document intelligence , and structured extraction . This is a founding role to develop and own the AI function —defining architecture, best practices, and solutions that become foundational for our platform and business.
The Impact
- Time-to-fill ↓ 30–50% : OCR → parse → validate → post cuts manual touches from hours to minutes.
- Zero-drama compliance : Primary-source checks, expirations, and audit logs built in.
- Revenue & margin ↑ : Accurate pay-package math and cleaner timesheets reduce adjustments / write-offs.
- Cash flow ↑ : Invoice creation from approved time, automated AR, and payroll sync reduce DSO and billing errors.
- Recruiter capacity ↑ : AI SMS cadences and clean data flows speed shortlists and follow-through.
- Decision speed : Live Sheets / Excel / Power BI replaces weekly spreadsheet marathons.
- Platform rigor : MLOps, observability, and cost governance keep AI stable, safe, and affordable.
What You’ll Build
MLOps & Platform
Must-Have
Nice-to-Have
Why AMX
EEO
AMX Healthcare is an equal opportunity employer. We welcome all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
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Artificial Intelligence Engineer • santa cruz do sul, Brasil
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