Staff Machine Learning Engineer

🕒 March 27

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Fullscript

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

⚕️ Healthcare Insurance

🧘 Wellness

☁️ SaaS

💰 $240M Private Equity Round on 2021-11

Healthcare Insurance • Wellness • SaaS

Fullscript is a comprehensive platform that facilitates whole person care for healthcare providers. It integrates industry-leading lab testing, high-quality supplements, and a suite of tools designed to enhance patient adherence and outcomes. Fullscript offers features like personalized patient plans, evidence-based templates, patient engagement tools, and seamless wholesale ordering of supplements. The platform also integrates with top EHR systems to streamline workflows for healthcare practitioners, making it easier for them to provide effective care. With Fullscript, patients can manage their health routines more conveniently, and providers can create personalized care plans with the support of clinical evidence and insights.

📋 Description

• Lead the design, development, and deployment of production, multi-turn LLM-powered features, including summarization tools and clinician-facing conversational agents that support follow-up questions and reasoning over clinical context • Own backend services in Python that integrate LLM agents with Fullscript’s platform and support reliable production use • Help define technical direction for prompting, grounding, safety, and orchestration strategies used across clinical AI workflows • Establish and improve evaluation approaches for LLM outputs, including accuracy, hallucinations, edge cases, and overall feature quality • Shape engineering patterns for model-related workflows, including testing, CI/CD, observability, and version control • Partner with medical, product, and engineering teams to identify high-value opportunities for AI and turn them into practical, scalable product capabilities • Work cross-functionally with engineering, analytics, and medical SMEs to refine requirements and ensure data and system design support clinical use cases • Provide technical leadership across projects by creating clarity in ambiguous problem spaces, guiding tradeoff decisions, and raising the quality bar for the team • Stay current with the latest LLM research and emerging AI technologies, and help assess where they can be applied effectively at Fullscript

🎯 Requirements

• 6+ years of experience building and implementing machine learning applications in production, including meaningful experience with LLM-powered agents, conversational experiences, or agent-based workflows • A track record of owning complex technical problems end to end and shaping implementation beyond your immediate code contributions • Experience designing and deploying AI systems that answer open-ended questions, support follow-up interactions, and operate reliably in production • Strong experience with LLM application frameworks and tooling, such as LangChain, LangGraph, or similar orchestration and RAG frameworks • Familiarity with evaluation and monitoring frameworks for LLM outputs, conversational quality, and system reliability • Knowledge of MCP, agent orchestration patterns, or related approaches for building multi-step AI systems • Strong proficiency in Python and SQL • Experience making sound technical decisions around quality, safety, maintainability, and scalability in production AI systems • Strong communication and collaboration skills, with the ability to work effectively across technical and non-technical stakeholders.

🏖️ Benefits

• Flexible PTO & competitive pay—rest fuels performance. • RRSP match & stock options—invest in your future. • Customizable benefits—flexible coverage, paramedical services, and an HSA. • Fullscript discounts—save on wellness products. • Continuous learning—training budget + company-wide initiatives. • Wherever You Work Well—hybrid and remote flexibility.