Founding Engineer (US)
As the first US based Engineer, the role entails acting as the technical bridge between the product vision and customer reality. Responsibilities include designing, architecting, and shipping full-stack features that solve customer compliance challenges, owning the technical relationship with key customers by implementing solutions, gathering requirements, and translating feedback into product improvements. The engineer will build scalable services and APIs for the LLM compliance platform, make high-impact technical decisions quickly while being accountable to engineering standards and customers, challenge assumptions about what and how to build, and shape the product roadmap and engineering practices as the company scales from Series A to market leadership. The work combines coding, customer engagement, and steering product direction with high autonomy and collaboration with the founding team.
Electrical Design Engineer
Translate business requirements into requirements for AI/ML models; prepare data to train and evaluate AI/ML/DL models; build AI/ML/DL models by applying state-of-the-art algorithms, especially transformers; leverage existing algorithms from academic or industrial research when applicable; test, evaluate, and benchmark the AI/ML/DL models, and publish the models, data sets, and evaluations; deploy models in production by containerizing the models; work with customers and internal employees to refine the quality of the models; establish continuous learning pipelines for models with online learning or transfer learning; build and deploy containerized applications on cloud or on-premise environments.
Statistics & Python Expert - Freelance AI Trainer
Contributors design original computational statistics problems that simulate real mathematical research workflows, creating problems requiring Python programming to solve using libraries like Numpy, SciPy, and Sympy. They ensure problems are computationally intensive and require non-trivial reasoning chains in areas such as number theory, combinatorics, graph theory, and numerical analysis. The problems are based on real research challenges or practical mathematical applications. Contributors verify solutions using Python with standard mathematical libraries and document problem statements clearly with verified correct answers.
Freelance Legal Attorney (US Law) - AI Tutor
Contributors may generate prompts that challenge AI, evaluate AI-generated solutions for correctness, assumptions, and logic, improve AI reasoning to align with first principles and accepted standards, and apply structured scoring criteria to assess multi-step problem solving.
Freelance Legal Consultant (US Law) - AI Tutor
Contributors may generate prompts that challenge AI; evaluate AI-generated solutions for correctness, assumptions, and logic; improve AI reasoning to align with first principles and accepted standards; and apply structured scoring criteria to assess multi-step problem solving.
Statistics & Python Expert - Freelance AI Trainer
Design original computational statistics problems that simulate real mathematical research workflows; create problems requiring Python programming to solve using Numpy, SciPy, Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Statistics & Python Expert - Freelance AI Trainer
Design original computational statistics problems that simulate real mathematical research workflows; create problems requiring Python programming to solve using libraries such as Numpy, SciPy, and Sympy; ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes; develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; base problems on real research challenges or practical applications from mathematical practice; verify solutions using Python with standard mathematical libraries; document problem statements clearly and provide verified correct answers.
Senior Staff AI Engineer
As a Senior Staff AI Engineer at Hippocratic AI, you will define the multi-year technical strategy and architectural roadmap for the AI platform encompassing RAG, multi-agent systems, real-time voice, evaluation, and safety, aligning leadership, engineering, and research around it. You will architect foundational platforms and systems used across multiple products, teams, and partners, making critical technical decisions for the company's future. You will partner directly with executive, product, and clinical leadership to translate long-term healthcare goals into technical initiatives. Additionally, you will represent engineering in board-level, partner, and regulatory discussions, identifying and driving both zero-to-one and one-to-n innovations that expand the company's capabilities. You will own the company-wide safety and evaluation standards, setting gates and measurement systems that all agents, partner deployments, and model changes must pass. Furthermore, you will mentor Staff and Senior engineers, influence hiring and leveling, multiplying the impact of engineering teams, and represent Hippocratic AI externally at conferences, through publications, and partner engagements in the healthcare AI community.
Staff AI Engineer
As a Staff AI Engineer at Hippocratic AI, you will set the technical direction for voice-based generative AI in healthcare, architect intelligent systems powering clinically safe healthcare agents, and own one or more core AI domains end-to-end including RAG, agent orchestration, evaluation, or real-time voice. Responsibilities include designing foundational production-grade AI pipelines for voice-based generative healthcare agents incorporating multi-step reasoning, agent orchestration, and evaluation systems; leading cross-functional initiatives with product, clinical, and engineering teams to translate healthcare workflows into safe and scalable AI experiences; representing engineering in clinical and partner conversations; driving innovation using state-of-the-art LLMs, retrieval systems, and streaming architectures; setting standards for AI-native workflows supporting real-time, conversational, and long-running interactions across healthcare contexts; owning safety and evaluation standards across model evaluation, safety testing, and observability; defining production gates for agents; mentoring senior and mid-level engineers; and elevating team quality through code and design reviews.
Forward Deployment Engineer (Minneapolis, MN)
Serve as the technical point of contact for healthcare customers, translating ambiguous problems into scalable solutions. Build and deploy AI systems, including RAG pipelines and multi-agent workflows, and develop real-time conversational AI systems. Work with healthcare data integration standards such as HL7 v2, FHIR, REST APIs, and X12, and build pipelines using Python and SQL. Own the full lifecycle of the AI solutions from design to monitoring, including troubleshooting production issues. Collaborate with product, AI research, and clinical teams. Operate onsite at customer locations in Minneapolis, MN, with occasional travel to Hippocratic AI headquarters for strategic planning and team sessions.
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