AI Engineer

Posted 3 Days Ago
3 Locations
In-Office or Remote
Mid level
Healthtech • Marketing Tech
The Role
Build and scale LLM-powered analytics and retrieval systems for healthcare data. Implement RAG, text-to-SQL, retrieval pipelines, evaluation/guardrails, and compliance controls. Integrate tools/data sources, deploy on AWS, monitor model performance, and collaborate with product and senior engineers to deliver production features.
Summary Generated by Built In

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


Skills Required

  • 2-4 years building production software including hands-on LLM/GenAI applications (RAG, agents, text-to-SQL)
  • Proficient Python
  • Proficient SQL
  • Comfort querying cloud data warehouses (Snowflake a plus)
  • Working knowledge of AWS and deploying services in the cloud
  • Substantive experience with LangGraph, CrewAI, or n8n (agentic frameworks)
  • Experience with AI-assisted coding and CI/CD processes
  • Familiarity with Node and React or other JavaScript frameworks
  • Exposure to retrieval systems, embeddings, or vector search
  • Experience designing evaluation harnesses and experiments for model change management
  • Understanding of prompt engineering and LLM guardrails to ensure reliable outputs
  • 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
  • Experience with pandas and modern data-analysis tooling
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The Company
HQ: Hoevelaken
202 Employees
Year Founded: 2002

What We Do

BPD is the home for healthcare’s leading brands. From the nation's largest, most complex health systems to academic institutions and industry disruptors, we partner with the most renowned trailblazers in their respective fields. Together, our more than 160 experts provide innovative solutions and capabilities in brand building, service line promotion, data-driven marketing, strategic communications and more.

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