AI & Support Automation - Engineer
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 31d ago
The date the source published, not the day we noticed it (2026-09-09). Last seen at its source 3h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 3 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
India
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $50k–82.5k/yr
Middle 50% of 12 listings that do state pay — Engineering · all levels · India · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Ashby employer's own board first seen 5d ago · last seen 3h ago
The listing
About CertifyOS
CertifyOS is building the data infrastructure that powers modern healthcare.
Today, healthcare organizations rely on fragmented and outdated provider data. This creates unnecessary administrative work, regulatory risk, and higher costs across the system. We’re solving that problem.
Our API-first platform automates provider licensing, enrollment, credentialing, and network monitoring by connecting directly to hundreds of primary data sources. We help healthcare organizations maintain accurate, compliant, and reliable provider networks at scale.
Our vision is simple: One API. One provider ID. Frictionless provider data.
We’re backed by leading investors and built by a team with deep experience in provider data systems. At CertifyOS, we value authenticity, accountability, collaboration, results, and openness to feedback. We’re building a high-ownership team focused on solving real infrastructure problems that impact millions of patients.
JOB DESCRIPTION
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
Experience with OpenAI/Anthropic/Claude/Gemini, Claude Code, LangChain/LangGraph, LlamaIndex, n8n/Make/Zapier/Power Automate, vector databases, AI evaluation/observability tools, AWS/Azure/GCP, Docker and 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.
Benefits of Working at Certify
At Certify, we’re building with intention and taking care of the people doing the work.
Your well-being matters to us. We provide 100% coverage of health, dental, and vision insurance premiums for employees. Our US-based team benefits from unlimited PTO, with at least two weeks off each year to recharge. In India, employees are supported with health insurance, statutory leave benefits, and additional wellness (menstrual) leave for women.
We are an equal opportunity employer committed to building an inclusive environment where everyone feels valued and empowered to do their best work, and we welcome applicants from all backgrounds and experiences.
If you require reasonable accommodations during the application process, please contact recruiting@certifyos.com.
We are also committed to pay transparency and foster an open culture where compensation conversations are encouraged and respected.