Drive Prompt’s mission to improve healthcare through modern technology including AI
Lead AI projects from ideation → architecture → production → iteration until tools are widely adopted and loved!
Design, build, and deploy end-to-end AI systems across both traditional ML and LLM-based workflows
Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve. They’ve established themselves as the go-to platform in the space and are rapidly growing their market share by delivering software people love.
Provide technical leadership on a new team prototyping and experimenting with new AI features
Productionize and ship AI integrations into Modern Health’s core product
Collaborate with cross-functional teams to deliver product features on time
Modern Health is a mental health benefits platform for employers, offering access to various resources for emotional, professional, social, financial, and physical well-being. They are the fastest entirely female-founded company in the U.S. to reach Unicorn status, with a "It Takes a Village" culture centered around high empathy and accountability.
Development and deployment of LLM-powered features, including summarization tools.
Build backend services in Python that integrate ML/LLM models with Fullscript’s platform.
Collaborate with medical and product teams to deliver AI features for practitioners and patients.
Fullscript is a health technology company committed to helping people get better by connecting practitioners to products and patients to care plans. They empower over 125,000 practitioners and 10 million patients through their comprehensive platform.
Partner with stakeholders to identify and prioritize opportunities for AI and automation.
Design, develop, and deploy AI and automation systems that drive measurable business impact.
Build and maintain scalable infrastructure, including front-end interfaces and back-end services.
Jobgether uses an AI-powered matching process. They ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Design, develop, and deploy AI/ML solutions that support Magna’s legal and medical platforms.
Translate business needs into scalable machine learning models and automation workflows.
Work closely with data engineers, software engineers, and product managers to bring AI products from prototype to production.
Magna Legal Services provides end-to-end legal support services to law firms, corporations, and governmental agencies throughout the nation. As an end-to-end service provider, they can provide strategic advantages to their clients.
Lead development of cloud-based Python applications that integrate AI/ML capabilities.
Collaborate with data scientists to turn models into robust, scalable APIs and user-facing tools.
Design and implement application features that enable care teams to engage members more effectively using AI-driven insights.
Mindoula is a next-generation behavioral health company improving outcomes for populations with complex behavioral, medical, and social challenges. They are building the future of behavioral health through technology, data science, and high-impact care delivery, fostering a positive and innovative culture.
Collaborate with cross-functional teams to improve scalable AI systems.
Research, evaluate, and integrate new AI technologies for payment systems.
Build and deploy AI solutions using Python, LLM libraries, AI services, and AWS.
DLocal enables companies to collect payments in 40 emerging market countries, helping global brands increase conversion rates and simplify payment expansion. They have 1000+ teammates from 30+ different nationalities and offer a flexible, remote-first dynamic culture.
Lead domain-specific model optimization using PEFT (LoRA/QLoRA) and knowledge distillation to balance cost, latency, and reasoning capability.
Build next-gen Retrieval-Augmented Generation pipelines using hybrid search, cross-encoders, and self-correcting retrieval loops.
Design and deploy multi-agent systems using frameworks like LangGraph or CrewAI, enabling autonomous task planning and tool-use (Function Calling).
ServiceNow is a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Their intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.
Build and deploy AI-driven products that accelerate clinical trials and improve patient outcomes.
Develop advanced ML models and LLM-powered agents for critical use cases like patient recruitment, enrollment forecasting, and study feasibility.
Leverage modern cloud tools and MLOps best practices to build robust data pipelines and deploy models at scale.
At OneStudyTeam (a Reify Health company), we specialize in speeding up clinical trials and increasing the chance of new therapies being approved with the ultimate goal of improving patient outcomes.
Architect and scale production-grade Generative AI powering patient conversations, provider decision support, and clinical operations.
Design systems that are safe, observable, and built for scale in a regulated environment.
Set technical direction, mentor other engineers, and help shape Rula’s AI roadmap.
Rula is committed to treating the whole person and aims to create a world where mental health is no longer stigmatized. They are passionate about making a positive impact on the lives of those struggling with mental health issues.
Design and deliver scalable AI systems that connect models, data, and products.
Turn research prototypes into secure, reliable, production-ready services.
Build pipelines and serving layers that power adaptive, real-time features.
KnowBe4 is a cybersecurity company that puts security first, offering an AI-driven Human Risk Management platform. They empower over 70,000 organizations worldwide to strengthen their security culture and transform their workforce into their strongest security asset.
Design scalable, future-proof data platforms optimized for AI research workloads.
Build efficient self-serve data processing pipelines leveraging GCP's advanced services.
Implement guardrails for cost, quality, and performance.
AssemblyAI is at the forefront of Speech AI, creating powerful models for speech-to-text and speech understanding via an API. They're a remote team of startup veterans and AI researchers looking to build one of the next great AI companies.
Design, build, and operate customer-facing features integrated into core product workflows.
Build and maintain internal services that provide stable, reusable interfaces for other engineers.
Bring AI workflows to production with observability, fallback strategies, and consideration for cost.
Turquoise Health aims to simplify healthcare pricing, increase transparency, and lower costs. They are a Series B startup backed by top VCs with a passion for improving healthcare and a team of ambitious and well-rounded individuals.
Lead the design and deployment of advanced AI inference systems for high-profile clients.
Translate complex business problems into robust, real-time AI architectures.
Partner with technical teams and clients to deliver scalable, high-performance solutions on modern GPU and cloud infrastructure.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against a role's core requirements.
This is a player-coach role where you'll architect and build AI-powered engagement systems while developing a high-performing team. You will translate complex ML systems into accessible, scalable solutions that drive member engagement and business growth. You'll have the autonomy to shape our technical strategy and the resources to build a world-class team.
Sword Health is shifting healthcare from human-first to AI-first through its AI Care platform, making world-class healthcare available anytime, anywhere.
Design, build, and scale enterprise-grade AI/ML systems that power internal workflows and external-facing AI/ML platforms.
Develop a production-ready Generative AI and MLOps platform with reusable components used to deploy multiple AI solutions across Natera’s business units.
Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
Natera is a global leader in cell-free DNA (cfDNA) testing. They are dedicated to oncology, women’s health, and organ health, aiming to make personalized genetic testing and diagnostics part of the standard of care. The Natera team consists of highly dedicated statisticians, geneticists, doctors, laboratory scientists, business professionals, software engineers and many other professionals from world-class institutions.
Partner directly with customers to deploy and configure AI agents for clinical documentation, scheduling, billing, communications, and workflow automation
Maintain AI governance frameworks that ensure safe, reliable agent operations in production healthcare environments
Work hands-on with foundation model APIs (OpenAI, Claude, Gemini) and the Canvas SDK to troubleshoot and optimize agent behavior
We're accelerating everyday medicine with an EMR platform built for healthcare automation. We create modern, elegant front- and back-end tooling to enable new ways for developers and clinicians to integrate data, automate workflows, and collaborate to solve healthcare's toughest challenges. We are institutionally backed and funded by notable health tech companies.
Design, implement, and deploy AI-powered features, including model training, fine-tuning, and prompt engineering workflows.
Translate product requirements into robust, production-ready AI solutions, working with Product Managers, Software Engineers, and Data Scientists.
Optimize models and infrastructure for scalability, latency, and cost efficiency, partnering with DevOps and MLOps to ensure reliable and maintainable AI pipelines.
Paper is reimagining how schools support students so that every learner can reach their full potential.