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Fitness Ventures, LLC (Crunch Fitness) · 16 hours ago

AI Integration Engineer

Altamonte Springs, FL

Full-time

Onsite

Mid Level

3+ years exp

Fitness Ventures, LLC, operating under Crunch Fitness, is expanding its AI team and seeks an AI Integration Engineer to design, build, and implement AI systems that enhance business performance and member satisfaction. The role involves working on production AI models, automating workflows, and addressing complex technical challenges while collaborating closely with the Senior Manager of AI Integration.

FitnessHealth CareWellness

No H1B

Responsibilities

Assist in the design, development, and refinement of machine learning models, with a specific focus on customer churn prediction and member lifetime value analysis. Utilize Python to process historical data and generate actionable insights for retention strategies

Conduct continuous monitoring and testing of customer-facing voice and chat agents to ensure high-quality, empathetic, and accurate interactions. Analyze conversation logs to identify performance issues and implement logic or prompt adjustments to improve resolution rates

Develop and iterate complex system prompts for Large Language Models (LLMs) to ensure consistent brand voice and minimize hallucinations across automated communication channels. Use RAG architectures to structured and unstructured data to automate complex information retrieval tasks

Build and maintain robust connections between internal databases, CRM platforms, and third-party AI vendors using REST APIs. Develop Python scripts to automate data entry and reporting workflows, reducing manual operational overhead

Aggregate model performance data and business metrics to create comprehensive dashboards and reports using Power BI, facilitating data-driven decision-making for leadership

Collaborate with the integration team to support the end-to-end deployment of AI solutions, ensuring systems meet regulatory requirements and service standards before full-scale release

Stay current on AI trends and recommend new technologies that could benefit the business & recommend innovations

Ensure all AI solutions meet ethical standards, privacy regulations, and uphold our brand’s customer service promise

Deliver clear reports and presentations to leadership on project status, outcomes, and strategic recommendations using Power BI, excel and tools applicable

Qualification

Machine LearningPythonSQLLarge Language ModelsData AnalysisAPI IntegrationQuality AssuranceAnalytical SkillsCommunication Skills

Required

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field with 3+ years of full-time, hands-on experience, or a Master's degree in a similar discipline with 2+ years of full-time experience, working in applied machine learning, AI engineering, or data science roles

2+ years of professional experience building, training, and maintaining machine learning models using Python and SQL, with exposure to production or production-adjacent environments

Strong proficiency in Python, including experience with data manipulation (Pandas, NumPy), machine learning libraries (e.g., Scikit-learn), and working with relational databases and complex SQL queries. Must have a strong understanding of probability, statistics, and algorithm selection

Solid understanding of core machine learning concepts (e.g., regression, classification, model evaluation) and the ability to translate business problems (retention, churn, conversion) into technical solutions

1+ year of hands-on experience with Large Language Models, including prompt engineering, Retrieval-Augmented Generation (RAG) or similar techniques, and supporting chat and/or voice-based AI systems. Proficiency with NLP libraries (HuggingFace, spaCy, LangChain) and Generative AI frameworks, as well as an understanding of vector databases and embedding strategies

Experience performing quality assurance and performance evaluation for AI-driven systems, including analyzing outputs or conversations, identifying failure modes, and iterating on prompts, logic, or workflows to improve outcomes

Demonstrated experience integrating internal systems and third-party platforms using RESTful APIs, and building automation or data pipelines in Python

Strong analytical and systems-thinking skills, with the ability to reason about end-to-end workflows, data flows, compliance constraints, and production reliability

Excellent communication skills, with the ability to clearly document work, report results, and collaborate with technical and non-technical stakeholders