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Modernizing Medicine

Specialty-specific EHR systems for healthcare providers

Staff AI Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

  • At least 8 years of experience in AI/ML, machine learning, data science, or software engineering, including significant hands-on experience building production AI systems.
  • Deep hands-on experience with large language models, generative AI, retrieval-augmented generation, prompt engineering, embeddings, vector search, and AI agents.
  • Strong proficiency in Python and experience with modern AI/ML frameworks such as PyTorch, Hugging Face, LangChain, LangGraph, or LlamaIndex, or equivalent technologies.
  • Ability to design scalable, reliable AI/ML architectures and translate ambiguous business problems into production-ready technical solutions.
  • Strong software engineering fundamentals, including APIs, distributed systems, testing, CI/CD, observability, and production operations.
  • Experience deploying AI/ML solutions at scale using AWS or equivalent cloud platforms, with experience in Databricks, MLflow, SageMaker, or similar technologies.
  • Strong understanding of LLM evaluation, hallucination mitigation, grounding, model quality, and AI observability.
  • Ability to influence architecture and technical direction, mentor engineers, and lead complex initiatives without necessarily having direct people-management responsibility.

Responsibilities

  • Design and build scalable, production-grade LLM, generative AI, and agentic AI solutions for healthcare and medical-practice workflows.
  • Lead the architecture and implementation of retrieval-augmented generation pipelines, AI agents, orchestration, tool calling, document intelligence, and intelligent automation from prototype through production.
  • Establish robust approaches for LLM evaluation, grounding, guardrails, observability, security, latency, and cost optimization to ensure AI systems are reliable and production-ready.
  • Apply prompt engineering, model selection, fine-tuning, retrieval strategies, and machine learning techniques to address specialty-specific healthcare challenges.
  • Define reusable AI engineering patterns, architecture standards, and best practices for adoption across the organization's AI initiatives.
  • Partner with Product, Engineering, Data Science, and domain experts to influence technical direction, make architecture decisions, and drive delivery of AI initiatives.
  • Mentor senior and junior engineers, conduct technical design reviews, and raise the engineering and AI maturity of the broader organization.
  • Help ensure AI solutions are secure, explainable, governable, and appropriate for healthcare, with attention to privacy, compliance, and responsible AI practices.

Desired Qualifications

  • Experience building multi-agent or agentic AI systems with orchestration, planning, memory, and tool use.
  • Experience with document intelligence, optical character recognition, document classification, information extraction, and multimodal AI.
  • Experience working with healthcare AI, clinical workflows, medical data, revenue cycle management, billing, or claims.
  • Familiarity with healthcare standards such as FHIR, HL7, and X12/EDI, or similar healthcare data formats.
  • Experience with HIPAA, healthcare data privacy, AI security, and responsible AI.
  • Experience working with foundation models such as OpenAI, Anthropic, Llama, or Mistral, or equivalent.
  • Experience optimizing LLM inference cost, latency, scalability, and reliability.

About the Company

Modernizing Medicine

Specialty-specific EHR systems for healthcare providers

Specialty-focused electronic health record (EHR) and related healthcare software. Its EMA and gGastro EHR systems run clinical documentation and integrate practice management features such as appointment scheduling, billing, and reporting, while learning from a provider’s workflows to adapt over time. This combination of adaptive EHR and revenue cycle/Practice Management tools differentiates Modernizing Medicine by offering an integrated, specialty-tailored solution rather than a generic system. The goal is to help healthcare providers spend more time with patients by reducing administrative work and improving financial performance.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$376.2M
Headquarters
Boca Raton, FL
Founded
2010

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