AI Engineer

Job description

_Our offices in **Boca Raton, FL** and **Nashville, TN** are where we come together for **collaboration, education, and celebrations,** and we’re looking for teammates who can join us in person for those meaningful moments._ **Reports to:** VP, Data Products & Technology **Years Experience:** 2-4 Years **Department:** Data Solutions & Analytics ### The Position: We're hiring a **mid-level AI Engineer** 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. ### The Responsibilities: Includes, but not limited to the following: - Build and improve **LLM-powered analytics features** — agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data. - Contribute to **text-to-SQL and semantic-layer** systems that let non-technical users query complex healthcare datasets accurately and safely. - Develop **retrieval pipelines** over document stores (vector search, hybrid keyword + semantic). - Implement **evaluation, guardrails, and hallucination checks** — accuracy on domain data is non-negotiable in healthcare. - Help enforce **data-governance and compliance controls** in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls). - Integrate **multiple tools and data sources** (warehouse, campaign platforms, web, document repositories) into agent workflows. - Deploy and maintain services on **AWS**, and monitor model performance, latency, and cost. - Collaborate with product, analytics, and senior engineers to translate requirements into shipped features. ### The Essentials: **Required** - 2–4 years building production software, including some hands-on experience with **LLM/GenAI applications** (RAG, agents, or text-to-SQL) — through work, internships, or substantial personal projects. - Solid **Python** and **SQL**; comfort querying a cloud data warehouse (Snowflake a plus). - Working knowledge of **AWS** and deploying services in the cloud. - Substantive experience in **LangGraph, CrewAI, n8n**, or other agentic frameworks - Experience in AI-assisted coding and CICD processes. - Familiarity working with **Node, React**, or other javascript frameworks - Exposure to **retrieval systems, embeddings, or vector search**. - Experiments-driven design using **evaluation harnesses** for change management - Understanding of **prompt engineering and LLM guardrails** — a sense of how to make model outputs reliable, not just functional. - Awareness of **data privacy and compliance** basics and willingness to build to them. - Ability to own a feature or component end-to-end and collaborate across a team. **Nice to Have** - Any experience with **healthcare/life-sciences data** (claims, referrals, HCP, ICD-10) or another regulated data domain. - Familiarity with **HIPAA / PHI-PII** constraints or de-identified / derived-insights data models. - Exposure to **agent orchestration frameworks** and multi-tool workflows. - Basic **MLOps/LLMOps**: monitoring, cost/latency optimization. - Background in analytics, BI, or data engineering. ### Core Tech Stack: - **Cloud:** AWS (e.g., Lambda, S3, ECS/Fargate, API Gateway) - **Data warehouse:** Snowflake (SQL, semantic layers) - **Languages:** Python (primary), SQL - **AI/ML:** LLMs (OpenAI/Anthropic-class models, incl. Amazon Bedrock), RAG, embeddings/vector search, prompt engineering, function-calling / tool-use, skills - **Data domains:** healthcare claims, physician referrals, ICD-10 diagnosis, HCP engagement, campaign/media performance, survey/primary research - **Data & document tooling:** vector databases, hybrid search, integrations with platforms like Egnyte and Google Drive - **Analytics libraries:** pandas and modern data-analysis/plotting tooling - **Governance:** compliance-aware data access, PII/PHI handling, source citation ### The Vision: BPD is a strategic growth partner that delivers the future to healthcare’s leading brands. We provide fully integrated solutions – branding, marketing, communications, and business consulting – which are technology-enabled, AI-infused, and supported by our proprietary data platform. All to ignite greatness in our clients and bring better health to more people. Our clients range from the largest health systems to prestigious academic medical centers to leading healthcare innovators. For more information on BPD, visit www.bpdhealthcare.com. **Unified BPD** unites our diverse backgrounds and perspectives into a stronger collective—one that fosters a more inclusive, impactful future for our people, our clients, and healthcare as a whole. Guided by ongoing reflection and learning, we respect every race, ethnicity, gender expression, sexual identity, ability, and life experience. As BPDerrrs, we: - **Celebrate** and value what makes each of us unique; - **Unite** around our shared purpose to ignite greatness in those we serve and, by extension, help them improve the health to the communities they serve; - **Lead** through inclusive work that authentically connects with all consumers and champions health equity for all - **Lean** into honest dialogue, acknowledging that building a diverse workforce, fostering belonging, and creating the best, most inclusive work for our clients and their communities is an ongoing journey. This commitment ignites our organization’s greatness and grounds the brilliant work we do for our clients and communities. * * * _BPD is proud to be an Equal Opportunity employer. BPD recruits qualified applicants without regard to race, col