Staff Software Engineer - Alameda - Storm3

    Storm3
    Storm3 Alameda

    17 hours ago

    Healthcare
    Description

    Staff / Principal Software Engineer – AI Platform (LLMs & RAG)

    GenAI Healthcare

    Hybrid in SF

    Competitive base + hefty bonus

    We are working with a pioneering generative AI-native health company revolutionizing hyper-personalized care. Its precision care platform enabling a new era of whole-person care through generative and predictive intelligence. They tap into cutting-edge resources, have an extensive dataset covering 100s million patients and a network of 1.8 million healthcare professionals.

    We are seeking a Staff / Principal Software Engineer to provide technical leadership in building, scaling, and operating LLM-powered healthcare applications, with a strong emphasis on RAG, knowledge systems, and AI-native backend architectures.

    Responsibilities:

    • Design, build, and evolve scalable LLM-based systems, including RAG pipelines, prompt orchestration, embedding strategies, vector search, and inference workflows.
    • Develop AI services that operate on healthcare and clinical data while respecting FHIR, HL7, HIPAA, and other regulatory and compliance requirements.
    • Partner closely with clinical, product, and data science teams to translate real-world clinical workflows
    • Build and maintain backend services and APIs supporting LLM inference, evaluation, observability, and lifecycle management
    • Establish best practices for prompt management, model versioning, human-in-the-loop workflows, and continuous improvement using feedback signals.
    • Act as a technical authority across teams, influencing architecture decisions and long-term platform strategy.
    • Mentor senior and mid-level engineers, set engineering standards, and raise the bar on system design and code quality.
    • Work closely with data engineering, data science, security, and product leadership to align AI capabilities with business and clinical objectives.

    Minimum Qualifications:

    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 7+ years of professional software engineering experience, with 2+ years working directly with LLM-based systems in production environments.
    • Hands-on experience designing and deploying RAG architectures
    • Strong proficiency in Python and experience with modern backend stacks
    • Experience working in healthtech, healthcare, life sciences, or clinical data environments, including exposure to regulated data.
    • Proven ability to design systems that are scalable, secure, observable, and maintainable.

    Preferred Qualifications:

    • Experience integrating LLMs with EHR data, clinical guidelines, prior authorization rules, quality measures, or real-world evidence datasets.
    • Familiarity with LLM evaluation tooling and frameworks
    • Experience with cloud-native architectures and containerized deployments

    Interested in applying? Please click on the 'Easy Apply' button


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