Senior Staff Engineer – Applied AI

Rula

. Build and scale AI/ML-powered patient experiences for matching, ranking, recommendations, onboarding, and personalization .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $242,000 - $287,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in building and scaling AI/ML-powered systems, with a focus on production model development, evaluation, and operational excellence. Proven ability to lead technical direction and foster collaboration across teams to enhance patient experiences through intelligent solutions.

Highest-signal resume keywords

10+ Years Software Engineering ExperienceProduction ML Systems DevelopmentStrong Python ExperienceTechnical Leadership in ML EngineeringHands-On Experience with GenAI Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning EngineeringModel Development and TrainingData/Feature EngineeringModel Evaluation and ExperimentationProduction-Quality Code WritingScalable Systems DesignRecommendation SystemsRanking SystemsPersonalization SystemsHybrid AI Approaches

Soft Skills

Technical Direction SettingMentoring Senior EngineersCollaboration with ML Teams

Tools & Technologies

GenAI SystemsML InfrastructureAI Services

Industry Keywords

HealthcareFinancial ServicesRegulated EnvironmentHigh-Trust Environment

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Build and scale AI/ML-powered patient experiences for matching, ranking, recommendations, onboarding, and personalization
Develop and improve production models and AI-powered systems
Build critical reusable capabilities for Patient Engineering
Partner with Rula’s ML team on shared infrastructure, models, standards, and architectural decisions
Identify and solve high-leverage Applied AI problems across models, reusable capabilities, and existing systems
Determine whether problems are best addressed with custom ML, foundation models/AI services, deterministic software, or hybrid approaches
Enable Patient Engineering to deliver better intelligent experiences
Create a strong technical partnership with the ML team
Improve models, reusable capabilities, and the speed and quality of AI/ML-powered patient experience delivery

Requirements

What you’ll need

10+ years of software and/or ML engineering experience
Significant experience designing, building, deploying, and operating production ML systems with measurable product or business impact
Strong Python experience
Experience building scalable systems and writing and reviewing production-quality code
Deep hands-on ML expertise across problem formulation, data/feature engineering, model development and training, evaluation, experimentation, deployment, monitoring, and continuous improvement
Technical leadership across teams, including setting technical direction, influencing architecture, mentoring senior engineers, and exercising judgment on ML and AI approaches
Demonstrated 0→1 experience building shared ML infrastructure or reusable capabilities adopted across teams
Deep experience with recommendation, ranking, relevance, personalization, search, or matching systems
Rigorous evaluation connecting offline model performance to online experiments and product/business outcomes
Hands-on experience building and operating modern foundation model/GenAI systems in production
Experience with evaluation, reliability, latency, cost, privacy/safety, and operational tradeoffs for GenAI systems
Preferred: experience evolving organizations toward mature ML engineering practices
Preferred: experience operating ML systems in healthcare, financial services, or another regulated/high-trust environment

Benefits

Comp & perks

100% remote work environment
Working hours to support a healthy work-life balance
Attractive pay and benefits with transparent U.S. pay ranges
Medical, dental, vision, life, disability, and FSA/HSA benefits
401(k) plan access
Generous time-off policies, including 2 company-wide shutdown weeks each year for most employees
Paid parental leave for birthing, non-birthing, adopting, and fostering parents
Employee Assistance Program (EAP)
Quarterly department stipend for team-building activities or in-person gatherings
Community and employee resource groups
New hire home office stipend
$50 monthly internet or cell phone stipend
Year-round wellness initiatives
$50/month wellness stipend
Equity