Responsibilities
- Model Productionization: Lead the engineering efforts to take cutting-edge data science models from research and development to scalable, production-ready systems, ensuring robustness, performance, and reliability.
- Agentic AI Development: Design, develop, and deploy intelligent AI agents and multi-agent systems using frameworks like Google ADK, LangChain, and LangGraph. These agents will automate complex clinical and administrative workflows, such as streamlining provider-facing prior authorization, detecting missed HCC codes, surfacing quality gaps, prompting compliant CPT submissions, and automating patient outreach.
- System Architecture: Contribute to the architectural design of our AI-driven operating system, focusing on modularity, scalability, and integration points for AI services within our broader platform and into existing partner workflows (e.g., EHRs).
- Performance & Reliability: Ensure the high performance, low latency, and fault tolerance of AI agents and inference pipelines, critical for real-time decision support and automated actions.
- Cross-Functional Collaboration: Work closely with data scientists, clinical domain experts, product managers, and other engineering teams to translate complex clinical problems into AI solutions that augment and work lock-step with expert human reviewers, and integrate them seamlessly into the Arbiter platform.
- Mentorship & Innovation: Actively mentor junior AI engineers, contribute to our internal knowledge base, and stay abreast of the latest advancements in AI, machine learning, and agentic systems to continuously innovate our offerings.
- Hiring & Onboarding: Participate in interviewing and onboarding new team members, helping to grow a world-class AI engineering organization.
Basic qualifications
- 8+ years of deep, hands-on experience in AI Engineering, Machine Learning Engineering, MLOps, or a closely related field, with a strong focus on productionizing models.
- Exceptional proficiency in Python for building complex AI systems and data pipelines.
- Demonstrated experience designing, building, and deploying AI agents and multi-agent systems using frameworks like LangChain, LangGraph, or similar agent orchestration tools. Experience with retrieval-based agents (e.g., leveraging LTM, case-based reasoning) is a strong plus.
- Profound understanding and hands-on experience with cloud-native AI/ML platforms, especially Google Cloud Platform (GCP) services (e.g., Vertex AI, BigQuery ML, Dataflow).
- Experience building systems for prior authorization workflows in healthcare.
- Basic understanding of machine learning algorithms, model training, evaluation, and inference.
- Intimate knowledge of and ability to implement unit, integration, and functional testing strategies.
- Experience providing technical leadership and guidance, and thinking strategically and analytically to solve problems.
- Friendly communication skills and ability to work well in a diverse team setting.
- Demonstrated experience working with many cross-functional partners.
- Demonstrated experience leading a software product or component vision and delivery plan.
Preferred qualifications
- Familiarity with Google ADK for AI development and deployment.
- Direct experience working with Large Language Models (LLMs) and their application in real-world systems.
- Knowledge of MLOps principles, including CI/CD for ML, model monitoring, versioning, and explainability.
- Proven track record of building semi-autonomous AI systems that augment expert users (e.g., human-in-the-loop for clinical review) and embed natively into their workflows.
- Experience with unstructured data processing (e.g., natural language processing for clinical notes), including the use of sentence transformer embedding models.
- Contributions to open-source AI/ML projects or relevant publications.
- Highly Competitive Salary & Equity Package: Designed to rival top FAANG compensation, including meaningful equity.
- Generous Paid Time Off (PTO): To ensure a healthy work-life balance.
- Comprehensive Health, Vision, and Dental Insurance: Robust coverage for you and your family.
- Life and Disability Insurance: Providing financial security.
- Simple IRA Matching: To support your long-term financial goals.
- Professional Development Budget: Support for conferences, courses, and certifications to fuel your continuous learning.
- Wellness Programs: Initiatives to support your physical and mental health.
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