AI Engineer

BPD

AI Engineer building LLM analytics, retrieval, and text-to-SQL systems for BPD’s healthcare marketing and consulting platform. Deploying compliant AI services across governed healthcare data.

Posted 8/14/2026full-timeFlorida, Tennessee • 🇺🇸 United StatesJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building LLM-powered analytics features and developing retrieval pipelines for healthcare datasets, with a strong focus on data governance and compliance. Proficient in Python, SQL, and AWS, with hands-on experience in AI-assisted coding and deployment.

Highest-signal resume keywords

LLM/GenAI Application ExperiencePython ProgrammingSQL SkillsAWS DeploymentData Governance Compliance

ATS Keywords

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Hard Skills

PythonSQLLLM/GenAI Application DevelopmentData Retrieval SystemsPrompt EngineeringEvaluation HarnessesVector SearchCloud Data Warehouse QueryingAI-Assisted CodingCI/CD Processes

Soft Skills

CollaborationEnd-to-End Ownership

Tools & Technologies

AWSSnowflakeLangGraphCrewAIN8nNodeReact

Industry Keywords

Healthcare DatasetsData PrivacyCompliance ControlsAgentic WorkflowsNatural-Language Querying

Tech Stack

Tools & technologies

AWSCloudJavaScriptNode.jsPythonReactSQL

About the role

Key responsibilities & impact

Build and improve LLM-powered analytics features, including agentic workflows, natural-language querying, RAG, and tool use over structured and unstructured data
Contribute to text-to-SQL and semantic-layer systems for safe, accurate querying of healthcare datasets
Develop retrieval pipelines using vector search and hybrid keyword-semantic search
Implement evaluation, guardrails, and hallucination checks for healthcare-domain accuracy
Enforce data-governance and compliance controls, including derived-insights-only access and no PHI/PII exposure
Integrate warehouses, campaign platforms, web sources, and document repositories into agent workflows
Deploy and maintain AWS services while monitoring model performance, latency, and cost
Collaborate with product, analytics, and senior engineers to translate requirements into shipped features
Own well-defined components end-to-end and grow into larger AI systems

Requirements

What you’ll need

2–4 years building production software, including hands-on LLM/GenAI application experience through work, internships, or substantial personal projects
Solid Python and SQL skills
Comfort querying a cloud data warehouse; Snowflake is a plus
Working knowledge of AWS and cloud service deployment
Substantive experience with LangGraph, CrewAI, n8n, or other agentic frameworks
Experience with AI-assisted coding and CI/CD processes
Familiarity with Node, React, or other JavaScript frameworks
Exposure to retrieval systems, embeddings, or vector search
Experience-driven design using evaluation harnesses for change management
Understanding of prompt engineering and LLM guardrails
Awareness of data privacy and compliance basics
Ability to own a feature or component end-to-end and collaborate across a team

Benefits

Comp & perks

Opportunity to work with senior engineers and receive clear technical direction
Collaboration, education, and celebrations at BPD offices
Inclusive workplace focused on diversity, belonging, and health equity
Equal Opportunity employer