AI Engineer

• Build, test, and ship features for production AI systems, including RAG pipelines, agentic workflows, and model orchestration components
• Write and maintain evaluation cases and test suites to catch regressions in AI system quality
• Implement and iterate on prompts, tool/function definitions, and guardrails using evaluation results
• Contribute to services, APIs, and data pipelines supporting AI features, including instrumentation, logging, and dashboards
• Investigate production issues such as latency spikes, cost anomalies, quality regressions, and failed tool calls
• Participate in code reviews, design discussions, and post-incident analyses
• Work with Product, Design, and Data Science teams to turn requirements into working software and flag tradeoffs early
• Keep documentation and runbooks current
• Work alongside senior engineers while developing deeper technical ownership

Software Engineer, AI Focused

• Build, lead, mentor, and develop a high-performing team of AI and software engineers
• Establish the technical vision, engineering standards, and architectural roadmap for enterprise AI platforms and solutions
• Serve as senior technical leader for AI initiatives, providing architectural guidance, conducting design reviews, and driving engineering decisions
• Partner with executive leadership to align AI investments, technology strategy, and delivery priorities with business objectives
• Define and execute strategy for enterprise AI, Generative AI, Agentic AI, and intelligent automation initiatives
• Lead end-to-end solution delivery across the software development lifecycle
• Evaluate emerging AI technologies, platforms, and industry trends and recommend adoption strategies
• Lead production support, incident response, and operational risk management for critical AI platforms and applications
• Provide technical leadership for cloud-native AI platforms and applications across AWS, GCP, and enterprise ecosystems
• Guide design and implementation of LLM and Generative AI solutions, RAG architectures, agentic AI platforms, serverless architectures, APIs, microservices, and AI observability frameworks
• Establish reusable engineering patterns, frameworks, and platform accelerators
• Ensure AI solutions align with Responsible AI principles, technology standards, security controls, and regulatory requirements
• Partner with security, privacy, legal, compliance, and risk teams on AI governance
• Promote model evaluation, explainability, auditability, data protection, and operational risk management
• Partner with product, engineering, data, security, compliance, and business stakeholders to define roadmaps and prioritize initiatives
• Communicate complex technical concepts to executives, technical teams, and business partners
• Serve as a trusted advisor and thought leader on enterprise AI strategy and adoption

Senior AI Engineer

• Design and implement generative and agentic AI solutions for enterprise Controls Technology
• Architect context engineering strategies for reliability, provenance, and token efficiency
• Design prompt engineering, RAG, hybrid search, multi-vector retrieval, and re-ranking systems
• Design knowledge graphs and Graph RAG architectures for multi-hop reasoning and explainability
• Architect agentic workflows and multi-agent systems using Google ADK and comparable frameworks
• Design agent harnesses with governance, constraints, feedback loops, state/session management, and execution controls
• Integrate agents with tools and data through MCP and orchestrate collaboration through A2A
• Support production integration, deployment, scalability, observability, and maintainability
• Contribute to real-time and streaming AI solutions
• Ensure ethical AI, guardrails, agent isolation/sandboxing, privacy, and compliance
• Mentor junior team members, conduct code reviews, and foster technical excellence
• Stay current with generative and agentic AI advances and share knowledge

Lead Agentic AI Engineer

• Define and build AI products across Roper Technologies' portfolio of market-leading vertical software businesses
• Partner with portfolio company leadership to shape AI product concepts, roadmaps, and product theses
• Learn new business domains and identify where AI meaningfully adds customer value
• Develop a defensible point of view on what to build, what not to build, and why now
• Pressure-test opportunities against feasibility, differentiation, and willingness to pay
• Engage directly with customers to ground product decisions in real workflows
• Build working prototypes and run experiments to establish feasibility
• Design evaluations that distinguish compelling demos from shippable products
• Move from concept to functioning system using AI-assisted development
• Develop shared technology and products that create leverage across multiple Roper businesses
• Judge when capabilities should be built centrally versus locally
• Drive adoption of shared platforms and patterns across portfolio company engineering teams
• Codify successful approaches into reusable frameworks, reference architectures, and playbooks
• Ship AI products that customers adopt, can be priced, and that contribute to organic growth
• Define and track adoption, retention, expansion, and customer-impact metrics
• Feed production usage back into the product roadmap

AI Engineer jobs in Florida

Software Engineer, AI Focused

Senior AI Engineer

Lead Agentic AI Engineer

Product Engineer, AI