> Markdown version of [/jobs/ext/2120753-ai-engineer](https://www.wearedevelopers.com/jobs/ext/2120753-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - **Company:** The Unified - **Location:** Boca Raton, FL, United States - **Experience:** Experienced - **Contract:** Internship / Graduate position - **Skills:** Sql Data Warehouse, JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automated Storage and Retrieval Systems, Cloud Computing, Continuous Delivery, Continuous Integration, Information Engineering, Data Files, Data Security, Data Warehousing, Python (Programming Language), Language Modeling, Node.Js, Standard Sql, Requirements Management, Search Technologies, SQL Databases, Scripting, Google Drive, ReactJS, Large Language Models, Snowflake, Prompt Engineering, Generative AI, AWS Lambda, Data Layers, Star Schema, AWS Fargate, Search Engines, Nintex, Data Management, Machine Learning Operations, Api Gateway - **Published:** August 19, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer--ca25fdac-26fc-47fa-824e-fd3f8e78e7ff ## About the Role * 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., AWS Lambda, Access Control, Amazon Simple Storage Service (S3), Amazon Web Services (AWS), Application Programming Interface (API), Artificial Intelligence (AI), Biology, Brand Marketing (Branding), Business Intelligence, Campaigns, Change Management, Channel Strategies, Cloud Computing, Consulting, Continuous Deployment/Delivery, Continuous Integration, Cost Control, Data Analysis, Data Modeling, Data Sets, Data Warehousing, Diversity, Experiment Design, HIPAA (Health Insurance Portability and Accountability Act), Healthcare, Hospital/Healthcare Construction, ICD-10, JavaScript Frameworks, Machine Tool, Marketing Communications, Media Campaigns, Modeling Languages, Node.js, Online Marketing, Performance Analysis, Performance Modeling, Python Programming/Scripting Language, React.js, Requirements Management, SQL (Structured Query Language), Search Engine Keywords, Snowflake Schema, Warehousing ## Description 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., 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., * 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 ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Stop using Node.js like in 2020! 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