Senior AI Engineer - emrgen.ai

emrgen.ai is live, and we are now looking for few senior engineers for this module. In your first months you will take ownership of the code, the infrastructure, the models, and the prompts, and finish the handover. You will work directly with our Head of Delivery and our engineering team in Pakistan. WHAT YOU WILL OWN Take over the emrgen.

ai codebase, cloud environment, and AI components, and finish the handover with full documentation, clean access, and no single point of failure. Audit what is running today, covering architecture, security, data handling, and model behavior, and deliver a written plan for what to keep, fix, or rebuild. Run the AI documentation features end to end, from clinician input to the structured note a clinician reviews and signs.

Measure AI quality with real evaluation sets, and track accuracy, invented content, and how often clinicians have to edit a generated note. Build guardrails so the AI never adds clinical facts that were not in the source, and so a clinician approves every note before it enters the record. Protect patient data by enforcing access controls, audit logging, and clear rules on what may reach any outside model provider.

Connect emrgen.ai to the rest of the i. Care. Manager platform and to state Medicaid billing requirements, so documentation turns into billable services. Set up releases, monitoring, and on-call coverage so we find production problems before our customers do. Mentor engineers on the Pakistan team and help us hire the people who join you.

Requirements

WHAT YOU BRING 8 or more years as a professional software engineer, including time as a technical lead. 3 or more years shipping AI features into production, not demos. You have built or heavily worked on an EHR or EMR system for United States healthcare customers while based in Pakistan, and you can name the system and your part in it.

Hands-on work with large language models, including prompt design, retrieval, evaluation, and controlling cost and speed. Speech-to-text experience is a strong plus. Real experience inheriting a system someone else built and making it maintainable. Working knowledge of HIPAA, audit trails, and handling protected health information inside AI pipelines.

A clear understanding of clinical documentation workflows, and of what a clinician will and will not trust. Written English strong enough for customer-facing documentation, and comfortable working with United States hours overlap.

NICE TO HAVE

Experience in Medical and Medicaid billing. Familiarity with HL7 or FHIR. Experience supporting a SOC 2 audit. Experience with machine learning operations, such as model versioning and monitoring. WHY JOIN You inherit a live product with real customers, not a blank page. Hundreds of provider organizations already run on i.

Care. Manager, so your work reaches real users quickly. You will work on live AI products in an industry that is modernizing all at once. Direct access to the founders and the CPO, with the authority to make technical decisions and see them through.

Compensation

and benefits are discussed openly in the first recruiter conversation.

Benefits

Opportunity to work in a fast-growing, AI-driven healthcare environment Collaborative and growth-oriented culture Competitive salary and benefits Flexible work environment BEFORE YOU APPLY This role touches production systems and patient data. Offers are subject to a background check, HIPAA training, and a signed IP and confidentiality agreement.