
501 - 1000 employees
Founded 2020
☁️ SaaS
💊 Pharmaceuticals
🤝 B2B
💰 $40M Private Equity Round - GiftHealth on 2023-04
SaaS • Pharmaceuticals • B2B
Gifthealth is a technology-enabled patient access and prescription fulfillment company that connects patients, prescribers, pharmacies, and pharmaceutical manufacturers through a unified digital platform. It streamlines enrollment, electronic benefits verification, e-prior authorization, and payment/affordability support while managing pharmacy fulfillment and patient support services. The platform also provides manufacturers with actionable data and insights on patient journeys and brand performance, driving faster, more reliable medication access.
🕒 June 2
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501 - 1000 employees
Founded 2020
☁️ SaaS
💊 Pharmaceuticals
🤝 B2B
💰 $40M Private Equity Round - GiftHealth on 2023-04
SaaS • Pharmaceuticals • B2B
Gifthealth is a technology-enabled patient access and prescription fulfillment company that connects patients, prescribers, pharmacies, and pharmaceutical manufacturers through a unified digital platform. It streamlines enrollment, electronic benefits verification, e-prior authorization, and payment/affordability support while managing pharmacy fulfillment and patient support services. The platform also provides manufacturers with actionable data and insights on patient journeys and brand performance, driving faster, more reliable medication access.
• Designing and building agentic AI systems including LLM orchestration, RAG pipelines, and multi-agent frameworks • Leading, mentoring, and growing AI Engineers • Conducting one-on-one meetings, performance reviews, and identifying career development opportunities • Establishing engineering practices, coding standards, and technical processes for AI systems
• Bachelor’s degree in computer science, AI/ML, or a related field OR 2–4 years of equivalent practical experience (Required) • 6+ years of software engineering experience with 3+ years in AI/ML systems • 2+ years of management or tech lead experience • History of building and shipping production AI systems (Required) • Knowledge of LLM architectures and orchestration patterns • RAG systems and vector databases • Production AI/ML system design • Python and AI/ML development skills (Required) • LLM API integration skills (Required)
• Health insurance • 401(k) retirement plan • Paid time off • Flexible work arrangements • Professional development opportunities
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