AI Engineer

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 amid-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 improveLLM-powered analytics features — agentic workflows, natural-language querying, retrieval-augmented generation (RAG), and tool-use over structured (SQL/Snowflake) and unstructured (document) data.
• Contribute totext-to-SQL and semantic-layer systems that let non-technical users query complex healthcare datasets accurately and safely.
• Developretrieval pipelines over document stores (vector search, hybrid keyword + semantic).
• Implementevaluation, guardrails, and hallucination checks — accuracy on domain data is non-negotiable in healthcare.
• Help enforcedata-governance and compliance controls in the AI layer (derived-insights-only, no PHI/PII exposure, appropriate access controls).
• Integratemultiple tools and data sources (warehouse, campaign platforms, web, document repositories) into agent workflows.
• Deploy and maintain services onAWS, 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 withLLM/GenAI applications (RAG, agents, or text-to-SQL) — through work, internships, or substantial personal projects.
• SolidPython andSQL; comfort querying a cloud data warehouse (Snowflake a plus).
• Working knowledge ofAWS and deploying services in the cloud.
• Substantive experience inLangGraph, CrewAI, n8n, or other agentic frameworks
• Experience in AI-assisted coding and CICD processes. 
• Familiarity working withNode, React, or other javascript frameworks
• Exposure toretrieval systems, embeddings, or vector search.
• Experiments-driven design usingevaluation harnesses for change management
• Understanding ofprompt engineering and LLM guardrails — a sense of how to make model outputs reliable, not just functional.
• Awareness ofdata 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 withhealthcare/life-sciences data (claims, referrals, HCP, ICD-10) or another regulated data domain.
• Familiarity withHIPAA / PHI-PII constraints or de-identified / derived-insights data models.
• Exposure toagent orchestration frameworks and multi-tool workflows.
• BasicMLOps/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 Health is the strategic growth partner trusted by the most ambitious brands in health. Purpose-built for health brands, health systems, pharmaceutical companies and healthcare innovators, we help organizations grow by connecting market position, team engagement, physician referrals, patient demand, payer relations and community impact into one coordinated growth system. As part of MJH Life Sciences, we give clients direct access to the largest physician engagement network in the U.S.

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:

• Celebrateand 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, color, religion, gender, age, ethnic or national origin, protected veteran status, physical or mental disability, sexual orientation, gender identity, marital status, or citizenship status.