AI Developer​/LLM Engineer; On Site – Boca Raton, FL

Position overview

We are seeking a highly skilled and innovative AI Developer with strong experience in Large Language Models (LLMs), chatbot development, and production-grade machine learning systems to join our team in Boca Raton, FL. This role is ideal for someone who enjoys building end‑to‑end solutions—from data pipelines and model design through deployment—and who can translate complex models into practical products used by internal stakeholders and clients.

You will work closely with leadership, engineers, analysts, and designers to deliver AI applications that leverage language, vision, and multimodal models to solve real business problems.

This is an on‑site role based in Boca Raton, FL; while we can provide flexibility in special circumstances, the expectation is that you will primarily work in the office to enable rapid iteration and collaboration.

Boca Raton, FL – On‑site (with limited flexibility for occasional remote work on a case‑by‑case basis).

• Design, build, and deploy production-grade AI solutions using Large Language Models (LLMs), including commercial models (e.g., OpenAI, Anthropic, Gemini) and open‑source models (e.g., LLaMA, Mistral).
• Develop and maintain advanced chatbots and virtual assistants, including Retrieval‑Augmented Generation (RAG) architectures, to support internal tools, customer-facing applications, and enterprise workflows.
• Integrate LLMs with other services and data sources using frameworks such as Lang Chain and Llama Index, ensuring robust orchestration, monitoring, and logging.
• Build computer vision and multimodal pipelines (e.g., SAM, DETR, Vision Transformers) and integrate them with LLMs where applications require both visual and language understanding.
• Design and implement scalable data pipelines using Python and modern orchestration tools (e.g., gRPC, Apache Airflow), ensuring high reliability, observability, and performance.
• Develop APIs and microservices to expose AI capabilities to internal and external systems, following best practices for software engineering, security, and documentation.
• Perform exploratory data analysis, feature engineering, and model selection for forecasting, classification, and NLP tasks, including time series and predictive analytics use cases.
• Conduct rigorous testing, evaluation, and experimentation, including A/B testing and statistical validation, to ensure models are accurate, stable, and aligned with business objectives.
• Collaborate with cross‑functional partners (software engineers, data analysts, product managers, designers, and leadership) to define project requirements, prioritize work, and deliver high‑impact solutions.
• Stay current with advances in LLMs, generative AI, computer vision, and MLOps, and evaluate new tools and techniques for potential integration into our stack.
• Provide technical guidance, code reviews, and mentorship to peers, helping establish best practices for AI development in the organization.
• Document architectures, experiments, and implementation details to ensure maintainability, transparency, and knowledge transfer across the team.

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field; an advanced degree (MS or PhD) in AI, Data Science, or a related discipline is preferred or equivalent industry experience.
• Demonstrated experience designing, fine‑tuning, and deploying LLM-based applications in production, including RAG pipelines and retrieval workflows.
• Strong proficiency in Python and modern AI/ML libraries (e.g., PyTorch, Tensor Flow) with a track record of building robust, maintainable code for production systems.
• Hands-on experience with LLM orchestration frameworks such as Lang Chain or Llama Index, including prompt engineering, structured outputs, and evaluation.
• Solid understanding of machine learning fundamentals, natural language processing, and statistical modeling (e.g., regression, time series, hypothesis testing).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD workflows for deploying and managing AI services.
• Experience working in at least one major cloud platform;
  Azure is preferred, but…