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CertifyOS

API-driven credentialing and provider enrollment platform

AI & Support Automation Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listedRemote

About the Job

Requirements

  • At least 3 years of overall experience in software engineering, artificial intelligence and machine learning, automation, technical operations, or support technology.
  • At least 2 years of hands-on generative artificial intelligence or large language model application development experience, including demonstrated production experience.
  • Experience in automation, integrations, or workflow engineering.
  • Strong experience taking artificial intelligence and automation projects from concept and architecture through production and continuous improvement.
  • Strong proficiency in Python and/or JavaScript/TypeScript.
  • Experience with large language model application programming interfaces and generative artificial intelligence application development.
  • Experience with retrieval-augmented generation, embeddings, vector databases, and knowledge pipelines.
  • Experience with artificial intelligence agents, agentic workflows, tool or function calling, and model context protocol.
  • Experience building end-to-end artificial intelligence and large language model pipelines covering ingestion, orchestration, model execution, tools or actions, evaluation, and production.
  • Proficiency with REST APIs, webhooks, SQL, and system integrations.
  • Experience with large language model evaluation, observability, guardrails, monitoring, and cost or latency optimization.
  • Experience with production deployment, continuous integration and continuous delivery, and troubleshooting artificial intelligence or automation systems.
  • Strong understanding of customer-support workflows and automation opportunities.

Responsibilities

  • Identify high-impact support processes for artificial intelligence and automation.
  • Design, build, integrate, test, and deploy artificial intelligence-powered workflows and agents.
  • Develop solutions using large language models, retrieval-augmented generation, artificial intelligence agents, and workflow automation.
  • Build end-to-end artificial intelligence pipelines covering knowledge and data ingestion, orchestration, model execution, tools and actions, evaluation, and production monitoring.
  • Integrate artificial intelligence with customer relationship management systems, ticketing systems, knowledge bases, and internal tools.
  • Monitor artificial intelligence quality, accuracy, cost, latency, and business impact, and continuously improve solutions.
  • Partner with Product and Engineering to drive artificial intelligence-led transformation.

Desired Qualifications

  • Experience with OpenAI, Anthropic, Claude, Gemini, Claude Code, LangChain, LangGraph, LlamaIndex, n8n, Make, Zapier, Power Automate, vector databases, artificial intelligence evaluation or observability tools, AWS, Azure, Google Cloud Platform, Docker, and customer relationship management or helpdesk platforms such as Zendesk, Salesforce, Jira, Freshdesk, or Zoho.
  • Demonstrated experience personally building or leading real artificial intelligence and automation solutions, explaining their architecture and individual contribution, and quantifying business impact such as automation percentage, ticket deflection, average handle time reduction, cost savings, or productivity gains.

About the Company

CertifyOS

API-driven credentialing and provider enrollment platform

Automates credentialing, licensing, and enrollment of healthcare providers for payors, health systems, and digital health companies. Its API-first platform pulls data from hundreds of sources to deliver real-time credentialing updates, ongoing monitoring, and cross-state licensure within a single workflow. It differentiates itself with end-to-end API-driven automation and NCQA-aligned compliance to reduce paperwork and administrative coordination. The goal is to help clients scale provider networks quickly, speed reimbursements, and let clinicians focus more on patient care.

Company size
201-500
Company stage
Series B
Total funding
$59M
Headquarters
New York City, New York
Founded
2021

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