AI & Support Automation – Engineer

🔥 13 hours ago

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 QA Automation Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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CertifyOS

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2021

🏥 Healthcare

☁️ SaaS

🤝 B2B

💰 $40M Series B - Certify on 2025-06

Healthcare • SaaS • B2B

CertifyOS is a healthcare-focused provider data platform that consolidates and verifies provider information to create a single, AI-enabled source of truth. It replaces spreadsheets and point solutions with infrastructure for credentialing, contracting, payments, compliance, and provider data management, offering services like credentialing, licensing, monitoring, and roster management. The platform ingests rosters and real-time feeds, validates records against thousands of sources, and delivers a continuous, clean data stream accessible via one API. CertifyOS is positioned as a B2B SaaS solution for health plans, digital health companies, and health systems, claiming measurable operational improvements (e. g. , reduced re-credentialing costs, faster onboarding) and listing major health plans among its clients.

📋 Description

• Identify high-impact support processes for AI and 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 AI and automation solutions • Partner with Product and Engineering to drive AI-led transformation

🎯 Requirements

• 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 • Strong Python and/or JavaScript/TypeScript skills • Experience with LLM APIs and Generative AI application development • Experience with RAG, embeddings, vector databases and knowledge pipelines • Experience with AI agents, agentic workflows, tool/function calling and MCP • Experience with end-to-end AI/LLM pipelines • Experience with REST APIs, webhooks, SQL and system integrations • Experience with LLM evaluation, observability, guardrails, monitoring and cost/latency optimization • Experience with production deployment, CI/CD and troubleshooting of AI/automation systems • Strong understanding of customer-support workflows and automation opportunities • Demonstrated real AI/automation solutions personally built or led, with architecture, contribution and quantified business impact

🏖️ Benefits

• 100% coverage of health, dental, and vision insurance premiums for employees • Unlimited PTO for US-based team members, with at least two weeks off each year to recharge • Health insurance for employees in India • Statutory leave benefits in India • Additional wellness (menstrual) leave for women in India