Ai Jobs in Orlando fl
- Promoted
AI Engineer
VirtualVocationsOrlando, Florida, United States- Promoted
- New!
AI Training for Design
OutlierRemote, FL, United StatesLead Specialist, AI Solutions Architect
KPMG-UnitedStatesOrlando, FL- Promoted
HPC & AI Architect
LenovoOrlando, FL, United States- Promoted
Sr. Director, Data and AI
TD SYNNEXUS-Remote FL CST- Promoted
Freelance Legal Specialist (US Law) - AI Tutor
MindriftOrlando, Florida, US- Promoted
Gen AI GCP Engineer
Conch Technologies IncOrlando, Florida, USA- Promoted
Staff AI Implementation Engineer
ServiceNowOrlando, FL, USLead Architect – Cloud AI / ML / Software Solution Architect – AI Services and Platforms
Highmark HealthFL, Working at Home, FloridaAI / ML Engineer Staff - Gen AI Focused / HYBRID TELEWORK
Lockheed MartinFlorida- Promoted
Sr Product Manager - AI & Automation
Motorola SolutionsOrlando, FL, United States- Promoted
Modeling, Simulation & Training AI Solution Architect
Leidos HoldingOrlando, FLAI & ML Engineer
BDOOrlando, FL, United StatesXpanse - Gen.AI QA Engineer
Harrison National Employment, LLC (Archwell Holdings, LLC)FL, USAI Engineer
VirtualVocationsOrlando, Florida, United States- Full-time
A company is looking for an AI Engineer to join their team and enhance automation accessibility through AI-powered systems.Key ResponsibilitiesIntegrate large language models (LLMs) into software products, ensuring performance and scalabilityDesign and implement prompting strategies for LLMs to improve user experience in creating automationsMonitor AI system performance, proactively addressing issues and collaborating with cross-functional teamsRequired Qualifications5+ years of software engineering experience, with at least 3 years in building scalable cloud-based applications1+ year of experience working with large language models in production environmentsExperience deploying evaluation frameworks for LLMs, focusing on performance and reliabilityFamiliarity with Retrieval-Augmented Generation (RAG) systems and knowledge retrieval optimizationExperience with cloud infrastructure technologies throughout the full lifecycle of LLM architectures