Senior AI / Health Systems Engineer

Full Description

Senior AI / Health Systems Engineer

Location: Remote (Pakistan preferred)

Employment: Full-time

Compensation: $USD + bonus

Reports to: CTO / Head of ProductRole Purpose

We are hiring a hands-on senior engineer to design and build production-grade AI systems for healthcare.

This role is not academic or experimental.

You will work on real health data, real users, and real compliance constraints.

Youwill own data pipelines, ML integration, and backend systems that support clinical workflows, mental-health platforms, and government or research-grade health systems.

What You Will Do (Non-Negotiable Responsibilities)

Engineering & Systems

Design and implement scalable backend systems for healthcare applications

Build and maintain AI/ML pipelines (training, inference, monitoring)

Write clean, testable, production-quality code

• Integrate ML models into APIs and real user workflows

• Work with structured and unstructured health data (clinical notes, assessments, outcomes)

Healthcare & Compliance

Translate healthcare workflows into software systems (intake, assessment, care tracking)

• Design systems with privacy, auditability, and data separation in mind

• Collaborate with compliance and clinical stakeholders

• Support standards-aligned thinking (HIPAA-style controls, FHIR awareness is a plus)

Ownership & Collaboration

• Take ownership of modules end-to-end

• Participate in technical architecture decisions

• Mentor junior engineers when needed

• Communicate clearly with product and leadership teams

Required Skills (Must Have)

Programming & Engineering

Strong Python (non-negotiable)

Experience building backend systems (REST APIs, services)

Solid understanding of data structures, performance, and system design

• Experience with Docker and cloud environments (AWS, Azure, or GCP)

AI / ML

• Practical experience with ML models in production

• Familiarity with:

PyTorch or TensorFlow

NLP and/or predictive modeling

• Experience moving models from notebook → production

Healthcare Experience (Required)

You must have real exposure to healthcare systems, such as:

• EHR / EMR systems

• Clinical, mental health, or public-health platforms

• Claims, outcomes, or patient-reported data

• Health research, trials, or regulated health data

(“Interest in healthcare” alone is not sufficient.)Nice to Have (Strong Advantage)

Experience with FHIR or HL7

Exposure to mental health systems or clinical research platforms

Knowledge of data privacy, consent models, and audit logging

• Experience in government or large-scale health systems

• Ruby on Rails or .

NET exposure (not required)

What This Role Is NOT X

• Academic research role

• Pure data-science / Kaggle role

• Front-end focused role

• Short-term contract

We are building long-term healthcare infrastructure.

What We Offer

Competitive international salary (in USD)

Stable, mission-driven work in healthcare

Exposure to real-world AI in regulated environments

• Clear growth path to Lead Engineer / AI Architect

• Flexible remote work

How We Evaluate Candidates

You will be evaluated on:

Code quality (not just model accuracy)

Ability to explain healthcare system decisions

• How you handle data privacy and edge cases

• Practical problem-solving, not buzzwords

Ideal Candidate Summary (One Line)

A strong engineer who can build AI systems that survive real healthcare constraints.

Job Type: Full-time

Pay: Rs300,000.00 - Rs550,000.00 per month

Work Location: Remote