AI Engineer

<p><em>Our offices in <strong data-stringify-type="bold">Boca Raton, FL</strong> and <strong data-stringify-type="bold">Nashville, TN</strong> are where we come together for <strong data-stringify-type="bold">collaboration, education, and celebrations, </strong>and we’re looking for teammates who can join us in person for those meaningful moments.</em></p> <p> </p> <p><span style="font-family: arial, helvetica, sans-serif;"><strong>Reports to: </strong>VP, Data Products & Technology<br></span><span style="font-family: arial, helvetica, sans-serif;"><strong>Years Experience: </strong>2-4 Years<br></span><strong style="font-family: arial, helvetica, sans-serif;">Department: </strong><span style="font-family: arial, helvetica, sans-serif;">Data Solutions & Analytics<br></span></p> <h3><span style="font-family: arial, helvetica, sans-serif;">The Position:<br></span></h3> <p>We're hiring a <strong>mid-level AI Engineer</strong> to help build and scale the AI systems behind Violet and our broader analytics platform called ThirdBase. You'll work hands-on with large language models, retrieval systems, and healthcare data- building features that turn a governed warehouse of claims, referrals, HCP engagement, and campaign performance into trustworthy, compliant, natural-language analytics. You'll own well-defined components end-to-end and grow into larger systems, with support from senior engineers and clear technical direction.</p> <h3><span style="font-family: arial, helvetica, sans-serif;">The Responsibilities:</span></h3> <p><span style="font-family: arial, helvetica, sans-serif;">Includes, but not limited to the following:<br></span></p> <ul> <li>Build and improve <strong>LLM-powered analytics features</strong> — agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data.</li> <li>Contribute to <strong>text-to-SQL and semantic-layer</strong> systems that let non-technical users query complex healthcare datasets accurately and safely.</li> <li>Develop <strong>retrieval pipelines</strong> over document stores (vector search, hybrid keyword + semantic).</li> <li>Implement <strong>evaluation, guardrails, and hallucination checks</strong> — accuracy on domain data is non-negotiable in healthcare.</li> <li>Help enforce <strong>data-governance and compliance controls</strong> in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls).</li> <li>Integrate <strong>multiple tools and data sources</strong> (warehouse, campaign platforms, web, document repositories) into agent workflows.</li> <li>Deploy and maintain services on <strong>AWS</strong>, and monitor model performance, latency, and cost.</li> <li>Collaborate with product, analytics, and senior engineers to translate requirements into shipped features.</li> </ul> <h3><span style="font-family: arial, helvetica, sans-serif;">The Essentials:<br></span></h3> <p><strong>Required</strong></p> <ul> <li>2–4 years building production software, including some hands-on experience with <strong>LLM/GenAI applications</strong> (RAG, agents, or text-to-SQL) — through work, internships, or substantial personal projects.</li> <li>Solid <strong>Python</strong> and <strong>SQL</strong>; comfort querying a cloud data warehouse (Snowflake a plus