7 applied ai software developer jobs at 5 companies in West Palm Beach, FL
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Applied AI Engineer
Sunrise, Florida, United States
$100k-$150k/yrOnsiteFull Time
Tata Consultancy ServicesBSE: 532540: Global leader in IT services, consulting, and business solutions.
8+ YOE8+ years experience building production AI systems; strong software development background with React, JavaScript/TypeScript; experience with generative AI, LangGraph/RAG/MCP integrations, CI/CD and container deployments.
UKG: Workforce management and human capital management software provider.
3+ YOERequires 3+ years in software engineering or applied solutions development, Python, API integration, SQL, LLMs, prompt engineering, RAG, agent frameworks, enterprise governance, communication, and a bachelor's degree or equivalent experience.
Python, SQL, LangChain, LlamaIndex, Semantic Kernel, Retrieval-Augmented Generation (RAG), large language models (LLMs), API
American ExpressNYSE: AXP: Global financial services offering payment and travel products.
5+ YOERequires 5+ years in software engineering, machine learning, or applied AI; agentic AI, RAG, LLM, Python, cloud-native, GCP, distributed systems, and production deployment experience.
Threat Deterrence Capital, LLC: Private public-safety software providing AI-powered intelligence and analytics tools to law-enforcement and correctional agencies.
5+ YOEBachelor's or master's degree in a related field, 5+ years of applied AI, NLP, or ML engineering, including 2+ years with LLMs and RAG. Requires Python, ML frameworks, cloud deployment, APIs, and scalable data pipelines.
American ExpressNYSE: AXP: Global financial services offering payment and travel products.
5+ YOE5+ years software engineering experience with production LLM or applied ML systems; strong backend, APIs, data pipelines, and cloud infrastructure skills; experience shipping AI/agentic systems and owning production reliability.
American ExpressNYSE: AXP: Global financial services offering payment and travel products.
7+ YOE7+ years in software engineering/ML or applied AI; experience with agentic AI, LLMs/GenAI, RAG/vector DBs; strong Python, backend/APIs, GCP (BigQuery, Composer, DataProc); experience with LangChain, PyTorch, TensorFlow, or scikit-learn.
WorldQuant: Private quantitative asset management firm developing and deploying systematic investment strategies across global markets for investors.
2+ YOEPhD in a quantitative field, 2+ years applying machine learning to complex problems, strong programming in C++ and Python, PyTorch experience, familiarity with Git and software development practices, strong communication and statistical inference skills.