AI & Support Automation Engineer - CertifyOS

About CertifyOS

CertifyOS is building the data infrastructure that powers modern healthcare. Today, healthcare organizations rely on fragmented and outdated provider data, creating unnecessary administrative work, regulatory risk, and higher costs. Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources.

Our vision is simple: One API. One provider ID. Frictionless provider data.

Role Overview

We are looking for hands-on engineers who can lead support automation initiatives while personally designing and building AI solutions end-to-end. This is a role for someone who can identify support problems, build AI/automation solutions, deploy them to production, and continuously improve them.

Key Responsibilities

• Identify high-impact support processes for AI/automation.
• Design, build, integrate, test, and deploy AI-powered workflows and agents.
• Develop solutions using LLMs, RAG, AI agents, and workflow automation.
• Build end-to-end AI pipelines covering knowledge/data ingestion, orchestration, model execution, tools/actions, evaluation, and production monitoring.
• Integrate AI with CRM, ticketing, knowledge bases, and internal tools.
• Monitor AI quality, accuracy, cost, latency, and business impact; continuously improve solutions.
• Partner with Product and Engineering to drive AI-led transformation.

Ideal Experience

• 3+ years overall experience in software engineering, AI/ML, automation, technical operations, or support technology.
• 2+ years of hands-on Generative AI/LLM application development, with demonstrated production experience.
• Experience in automation, integrations, or workflow engineering.
• Strong experience taking AI/automation projects from concept and architecture through production and continuous improvement.

Must-Have Skills

• Strong Python and/or JavaScript/TypeScript.
• LLM APIs and Generative AI application development.
• RAG, embeddings, vector databases, and knowledge pipelines.
• AI agents, agentic workflows, tool/function calling, and MCP.
• End-to-end AI/LLM pipelines: ingestion → orchestration → model → tools/actions → evaluation → production.
• REST APIs, webhooks, SQL, and system integrations.
• LLM evaluation, observability, guardrails, monitoring, and cost/latency optimization.
• Production deployment, CI/CD, and troubleshooting of AI/automation systems.
• Strong understanding of customer-support workflows and automation opportunities.

Preferred Skills

• Experience with OpenAI, Anthropic Claude, Gemini, Claude Code, LangChain/LangGraph, LlamaIndex.
• Workflow automation tools like n8n, Make, Zapier, Power Automate.
• Vector databases, AI evaluation/observability tools, AWS/Azure/GCP, and Docker.
• CRM/helpdesk platforms such as Zendesk, Salesforce, Jira, Freshdesk, or Zoho.

What We Are Looking For

A builder, not just a strategist. The candidate should demonstrate real AI/automation solutions they have personally built or led, explain the architecture and their contribution, and quantify business impact such as automation %, ticket deflection, AHT reduction, cost savings, or productivity gains.