AI Engineer

<p><a href="https://research.picnichealth.com/" target="_blank">PicnicHealth is simplifying clinical research</a> with AI, making it faster and cheaper to get new treatments to patients. We’re bringing a patient-centered, AI-first approach to a $100b market otherwise dominated by old-school, services-driven incumbents. We’re creating a streamlined operating system for clinical research, built on top of <a href="https://picnichealth.com/picnicai" target="_blank">our AI</a> for medical record data in trials and a <a href="https://picnichealth.com/care" target="_blank">personal health assistant</a> that keeps patients engaged. </p> <p><strong>The Opportunity</strong></p> <p>Clinical research is ripe for reinvention. Running a study today involves countless labor-intensive workflows—work that's slow, expensive, and often frustrating for everyone involved. We believe AI can change that.</p> <p>Our AI team builds real systems with critical business impact. We process millions of pages of medical records, turning messy real-world data into structured patient timelines. We automate complex study workflows—from protocol setup to ongoing operations. The goal isn't incremental efficiency—it's drastically reducing the human labor required to run a study.</p> <p>This is a high-leverage role. You'll work closely with product managers and our study delivery team to identify high-impact opportunities—and own the AI solutions that address them. If you're excited about applying the latest AI capabilities to problems that genuinely matter, this is the place to do it.</p> <p><strong>As an AI Engineer you will:</strong></p> <ul> <li>Build AI agents that automate labor-intensive clinical study workflows—like drafting clinical trial documentation</li> <li>Extend and improve our agent framework (built on pydantic-ai) and the infrastructure that supports it</li> <li>Build data pipelines that give our agents access to the research and context they need</li> <li>Collaborate directly with study project managers, clinicians, and other stakeholders to understand problems and deliver solutions</li> <li>Do whatever it takes to ship—including scrappy UI work when that's what's blocking progress</li> </ul> <p><strong>What you’ll bring:</strong></p> <ul> <li>5+ years of experience writing production code in Python</li> <li>Deep experience with LLMs—not just API calls, but defining tools, understanding failure modes, and developing intuition for how to get reliable results</li> <li>Experience building agents that actually work in production</li> <li>Comfort navigating complex dev environments (Docker, Kubernetes, cloud-based development) well enough to unblock yourself</li> <li>Openness to occasional frontend work, especially with AI coding tools in your toolbelt</li> <li>Ability to explain technical tradeoffs to PMs and clinicians and incorporate their feedback quickly</li> <li>Self-direction and drive to move projects forward without detailed specs</li> </ul> <p>We expect all team members to be motivated to be amazing in their roles and, ultimately, to move the PicnicHealth mission forward.</p> <p><strong>What is clinical research and why will PicnicHealth win?</strong></p> <p>Clinical research is the industry responsible for conducting studies to evaluate the effectiveness of drugs and treatments. Better trials lead to faster, more cost-effective drug development, ultimately resulting in more and improved treatments for patients. However, the process remains highly inefficient. Trials are a major bottleneck in drug development, and the promising advancements in biotech cannot translate to real patient impact unless clinical research becomes faster and more efficient</p> <p>The industry runs on outdated technology and manual processes. Research sites (hospitals, academic centers, doctors' offices) are overburdened and under-resourced. Contract research organizations (CROs), the organizations that traditionally run clinical trials for life sciences companies, t ... (truncated, view full listing at source)