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.
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.
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.
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.
Drive Prompt’s mission to improve healthcare through modern technology including AI
Develop and deploy real-time AI systems involving speech and natural language understanding (e.g., transcription, summarization, classification)
Partner with Product and Engineering to identify high-leverage AI opportunities and deliver measurable outcomes
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.
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.
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.
Build resilient AI Agents using LangGraph and microservices. Develop complex automation workflows in n8n. Collaborate with Internal Business Analysts to focus on coding, not guessing requirements.
At Gcore, you’ll help design and deliver that foundation for an AI-driven world, being a global provider of infrastructure and software solutions for AI, cloud, network, and security.
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.
Design agentic systems & ship AI to production: Turn prototypes into resilient, observable services with clear SLAs, rollback/fallback strategies, and cost/latency budgets.
Build tool‑using LLM “agents” (task planning, function/tool calling, multi‑step workflows, guardrails) for tasks like grant discovery, application drafting, and research assistance.
Own RAG end‑to-end: Ingest and normalize content, choose chunking/embedding strategies, implement hybrid retrieval, re‑ranking, citations, and grounding.
Instrumentl is a hyper-growth YC-backed startup that provides a SaaS platform to help nonprofits discover, track, and manage grants efficiently. They have over 4,000 nonprofit clients and are cash flow positive, doubling year-over-year, with customers who love them.
Leads the AI roadmap from concept to production. Builds production-ready, accurate, and reliable AI agents. Continuously improves performance of AI solutions.
Symbe is an innovative business intelligence startup that automates business case creation for sales teams, helping them effectively demonstrate value.
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, develop, and maintain backend systems in Python, integrating AI-driven functionalities and APIs
Implement prompt engineering, Retrieval-Augmented Generation (RAGs), and basic generative AI solutions into platform workflows
Collaborate on AI model deployment, fine-tuning, and production integration
Impiricus is the first and only AI-powered HCP Engagement Engine created to cut through the noise and put physician care delivery at the forefront. The company is committed to providing life science companies with AI technology needed to deliver evidence-based resources into the hands of HCPs.
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.
Designing, developing, and deploying generative AI models.
Architecting and building agentic systems with autonomous decision-making capabilities.
Integrating generative AI and agentic solutions into existing products and services.
Jobgether is a partner company that focuses on connecting talent with the right job opportunities. Their AI-powered matching process ensures applications are reviewed quickly, objectively, and fairly against the role's core requirements.
Develop and implement scalable and performant solutions.
Partner with Engineering Managers, Product Managers, and stakeholders to develop and execute technical roadmaps using Agile processes.
Mentor and coach more junior engineers including thorough pull request reviews and be receptive to critical feedback.
Aledade maintains, improves, and expands web applications and data pipelines. The company seeks to create secure, maintainable, performant, correct, scalable, and stable solutions to complex problems in the healthcare industry.
Architect and lead the development of agentic workflows and fine-tuned models for the automation of new and existing security operations processes.
Establish ML and data pipelines for the training and deployment of fine-tuned generative AI and machine learning models.
Design scalable systems to unify and correlate data across heterogeneous sources using rule-based, probabilistic, and ML-based approaches.
Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Their system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.
Architect and operate large-scale, mission-critical cloud infrastructures.
Build and maintain Copilot Studio / Microsoft Virtual Agents solutions.
Develop using AI-assisted development tools to accelerate development and code quality.
Coderio designs and delivers scalable digital solutions for global companies. With a strong technical foundation and a product-oriented mindset, our teams lead complex software projects from architecture to execution. They value autonomy, clear communication, and technical excellence.