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AI Developer / LLM Engineer (On Site - Boca Raton, FL)
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Woolbright Development
Remote
Full-Time
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Job Description
AI Developer / LLM Engineer (On Site - Boca Raton, FL) at Woolbright Development AI Developer / LLM Engineer (On Site - Boca Raton, FL) at Woolbright Development in Deerfield Beach, Florida Posted in about 22 hours ago.
Site - Boca Raton, FL) Location Boca Raton, FL - On?site (with limited flexibility for occasional remote work on a case?by?case basis). 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. Key responsibilities 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 LangChain and LlamaIndex, 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. Required qualifications 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, TensorFlow) with a track record of building robust, maintainable code for production systems. Hands-on experience with LLM orchestration frameworks such as LangChain or LlamaIndex, 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 AWS or GCP experience is also valuable. Ability to work primarily on?site in Boca Raton, FL, and to thrive in a fast?paced, collaborative environment managing multiple projects simultaneously. Excellent communication skills, with the ability to explain complex technical concepts to non?technical stakeholders and translate business needs into technical solutions. Preferred skills and experience Experience building chatbots or conversational agents for enterprise use cases, including integration with existing business systems and analytics reporting on chatbot performance. Strong background in Retrieval?
Augmented Generation, vector databases (e.g., ChromaDB, Pinecone, GCP Vector Search, PQ Vector, or similar), and search/retrieval optimization. Exposure to computer vision and multimodal AI (e.g., SAM, DETR, Vision Transformers), especially in scenarios that combine text and images in a single workflow. Knowledge of causal inference, A/B testing, and statistical experimentation for evaluating product and model changes. Experience with dashboards, analytics, and visualization tools (e.g., Tableau) to present model results and operational metrics to stakeholders. Background in applied economics, finance, or related quantitative domains, especially for forecasting, risk modeling, or decision support applications. What we offer Opportunity to build greenfield LLM and generative AI applications that directly impact business operations and client outcomes. Close collaboration with a small, highly technical team where your contributions will be visible and meaningful. A culture that values experimentation, statistical rigor, and continuous learning in AI.
Type:
full-timeJob Description:
Job title AI Developer / Chatbot & LLM Engineer (On?Site - Boca Raton, FL) Location Boca Raton, FL - On?site (with limited flexibility for occasional remote work on a case?by?case basis). 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. Key responsibilities 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 LangChain and LlamaIndex, 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. Required qualifications 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, TensorFlow) with a track record of building robust, maintainable code for production systems. Hands-on experience with LLM orchestration frameworks such as LangChain or LlamaIndex, 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 AWS or GCP experience is also valuable. Ability to work primarily on?site in Boca Raton, FL, and to thrive in a fast?paced, collaborative environment managing multiple projects simultaneously. Excellent communication skills, with the ability to explain complex technical concepts to non?technical stakeholders and translate business needs into technical solutions. Preferred skills and experience Experience building chatbots or conversational agents for enterprise use cases, including integration with existing business systems and analytics reporting on chatbot performance. Strong background in Retrieval?
Augmented Generation, vector databases (e.g., ChromaDB, Pinecone, GCP Vector Search, PQ Vector, or similar), and search/retrieval optimization. Exposure to computer vision and multimodal AI (e.g., SAM, DETR, Vision Transformers), especially in scenarios that combine text and images in a single workflow. Knowledge of causal inference, A/B testing, and statistical experimentation for evaluating product and model changes. Experience with dashboards, analytics, and visualization tools (e.g., Tableau) to present model results and operational metrics to stakeholders. Background in applied economics, finance, or related quantitative domains, especially for forecasting, risk modeling, or decision support applications. What we offer Opportunity to build greenfield LLM and generative AI applications that directly impact business operations and client outcomes. Close collaboration with a small, highly technical team where your contributions will be visible and meaningful. A culture that values experimentation, statistical rigor, and continuous learning in AI.