Senior Staff AI Engineer

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November 14

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NextGen Healthcare

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Healthcare Insurance • SaaS • Telecommunications

NextGen Healthcare is a company that provides integrated health IT solutions to ambulatory practices. Their services include electronic health records (EHR), practice management, interoperability, patient engagement, and telehealth solutions. They aim to enhance the patient and provider experience through innovative technologies such as AI-driven workflows and mobile solutions. NextGen Healthcare also offers tailored solutions for various specialties and focuses on improving clinical and financial outcomes for their clients. They support practices of all sizes, from small offices to large enterprises, and emphasize the importance of interoperability and data exchange to enhance healthcare delivery.

1001 - 5000 employees

Founded 1998

⚕️ Healthcare Insurance

☁️ SaaS

📡 Telecommunications

💰 Venture Round on 2015-02

📋 Description

• Lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains • Own complex initiatives end-to-end—setting technical direction, establishing quality and safety bars, and mentoring engineers • Ensure solutions are compliant, reliable, and cost-efficient at scale • Collaborate with cross-functional teams—including product managers, data engineers, and clinical experts—to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust • Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management • Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures • Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks • Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities • Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers

🎯 Requirements

• Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field • 8-12 years as a Data Scientist/AI Engineer with experience leading complex, cross-team projects to production • Deep expertise with Python and ML frameworks (PyTorch/TensorFlow) and agentic stacks (LangChain/LangGraph) with proven experience implementing RAG at scale and fine-tuning models • Knowledge of Generative AI frameworks and architectures (Transformers, LLMs, diffusion models) • Knowledge of healthcare data formats, privacy requirements (HIPAA), and integration challenges • Skill in programming in Python (preferred) or similar languages • Ability to collaborate effectively across technical and clinical teams

🏖️ Benefits

• Equal opportunity employer • Commitment to creating an inclusive environment