Clinician

August is building autonomous clinical AI.

Today, August shows up as a health companion: people use it to understand symptoms, lab reports, prescriptions,

medications, and the confusing space between doctor visits. But the company we are building is much bigger than a

companion. We are building AI systems that can take on increasingly complex clinical work: reasoning through symptoms,

interpreting medical context, identifying risk, escalating when needed, and helping people get to the right next step.

Clinicians are at the heart of this.

We are looking for clinicians who want to work at the bleeding edge of healthcare: owning the clinical performance of AI

systems, designing evaluation frameworks, reviewing model behavior, defining safety standards, and helping us deploy

autonomous clinical use cases in the real world.

This is not a traditional clinical role. You will not just review outputs or write medical content. You will help shape how

August thinks, reasons, escalates, explains, and improves. You will work closely with engineering, product, design, and AI

teams to turn clinical judgment into measurable AI performance.

If you are excited by the idea of building the clinical brain, evaluation system, and safety architecture for autonomous

healthcare AI, this role is for you.

What you’ll work on

Clinical performance of AI systems

Own how well August performs across real medical scenarios: symptom assessment, triage, lab interpretation, medication

reasoning, care navigation, follow-up, and escalation.

Evaluation systems

Build clinical evals that test the AI across accuracy, safety, empathy, escalation quality, uncertainty handling, guideline

adherence, and real-world usefulness.

Autonomous clinical use cases

Work with the team as we deploy increasingly autonomous AI workflows, from health companion experiences to more

structured clinical decision-support and care-navigation systems.

Clinical reasoning and safety

Help define how August should reason through patient context, ask follow-up questions, identify red flags, communicate

uncertainty, and decide when human or emergency escalation is required.

Model review and improvement

Review AI conversations, identify failure modes, create rubrics, annotate examples, build test sets, and work with engineers

to improve model performance.

Clinical product judgment

Make sure August is not just medically correct in theory, but useful, safe, understandable, and trustworthy for real people inreal situations.

Responsibilities

•

•

•

•

•

•

•

•

•

•

•

•

Own clinical evaluation for one or more August AI use cases.

Create high-quality clinical test cases, gold-standard answers, rubrics, and benchmark datasets.

Evaluate AI performance across real and simulated patient conversations.

Identify clinical failure modes, safety risks, hallucinations, poor reasoning patterns, missed red flags, and weak

escalation behavior.

Work with AI engineers to improve prompts, retrieval systems, agent workflows, verifier layers, and model evaluation

pipelines.

Define clinical quality metrics for accuracy, safety, empathy, escalation, completeness, and usefulness.

Help build processes for continuous AI monitoring, regression testing, red-teaming, and post-launch quality review.

Translate medical guidelines, clinical workflows, and physician judgment into clear product and AI requirements.

Partner with product and design teams to make AI responses clinically sound and easy for users to understand.

Support deployment of autonomous clinical workflows with the right safety, review, and escalation systems.

Build clinical policies for high-risk areas such as emergency symptoms, medication safety, pregnancy, pediatrics,

chronic disease, mental health, and abnormal lab results.

Help August decide when the AI should answer, ask more questions, escalate, refuse, or route to a human.

Y ou might be a good fit if you have

•

•

•

•

•

•

•

•

•

•

A clinical degree such as MBBS, MD, DO, or equivalent.

Strong clinical reasoning and ability to think through ambiguous medical cases.

Comfort reviewing patient conversations, medical histories, lab reports, prescriptions, and symptom presentations.

Strong judgment around safety, uncertainty, escalation, and patient communication.

Excitement about AI and its potential to transform healthcare access.

Ability to work with engineers and product teams, even if you do not code.

Strong written communication. You can turn clinical thinking into clear rubrics, policies, examples, and product

requirements.

Bias toward ownership. You do not wait for perfect instructions; you help define the problem and drive it to completion.

Comfort operating in unstructured, fast-moving environments.

Deep care for patients, especially people navigating healthcare without easy access to doctors.

Nice to have

•

•

•

•

•

•

•

•

Experience in primary care, emergency medicine, internal medicine, family medicine, pediatrics, psychiatry, or digital

health.

Experience with clinical audits, quality improvement, medical safety, or protocol development.

Experience reviewing or building clinical decision-support systems.

Experience with AI evaluation, model testing, annotation, red-teaming, or prompt evaluation.

Familiarity with LLMs, RAG, agents, model behavior, or AI safety.

Experience working with health-tech products, telemedicine, digital triage, or care navigation.

Comfort with tools like spreadsheets, annotation platforms, basic SQL, Python, or no-code evaluation tools.

Experience creating clinical guidelines, care pathways, SOPs, or medical content for patient-facing products. What makes this role different

Most clinical roles are about delivering care inside an existing system.

This role is about helping build a new system.

You will be part of the team defining how autonomous clinical AI should behave: what it should know, how it should reason,

when it should be cautious, how it should communicate, and how its performance should be measured. Your clinical

judgment will directly shape the product, the evals, the safety architecture, and the real-world deployment of August’s AI.

This is a rare opportunity for a clinician to work on the frontier of medicine, AI, and product — not as an advisor on the

sidelines, but as an owner of the system’s clinical performance.

How we work

Clinicians are core to the product

Clinical judgment is not a review layer at the end. It is part of how we design, build, evaluate, and deploy August.

High ownership

You will own outcomes, not tasks. If a clinical workflow is unsafe, underperforming, or underspecified, you will help define

what good looks like and drive the fix.

Safety first, speed always

We move fast, but healthcare demands rigor. The right answer is not just fast or impressive; it must be safe, useful, and

clear.

Direct feedback

We believe in honest, explicit feedback delivered with care. We expect low ego, high standards, and deep collaboration.

Pragmatic clinical AI

We are not building demos. We are building AI systems that work for real users with real symptoms, real anxiety, real

ambiguity, and real consequences.

Why August

Healthcare systems around the world are overloaded. People are often left alone with symptoms, lab reports, prescriptions,

and uncertainty at exactly the moments when they need help most.

August is building AI that can be available in those moments: clinically grounded, empathetic, safe, and increasingly

capable of doing real clinical work with the right guardrails.

You will help define what clinical quality means for autonomous healthcare AI and then help build the systems that achieve

it.