Job Summary:
Florence Healthcare is a company that advances cures by helping research sites improve their workflow. They are seeking a Senior AI Engineer to design, build, and deploy AI-powered features, focusing on end-to-end implementation of AI systems while collaborating with product and engineering teams.
Responsibilities:
• Design and implement AI-powered features (LLM workflows, copilots, and agent-based systems with tool use and multi-step reasoning)
• Own the full lifecycle: prototyping → evaluation → production deployment → iteration
• Ensure solutions are reliable, performant, and aligned with product needs
• Build and optimize:
• Prompt pipelines for specific use cases
• Retrieval systems (embeddings, chunking, ranking)
• RAG-based workflows where needed
• Iterate on outputs to improve quality, accuracy, and consistency
• Design scalable and cost-efficient AI architectures for production workloads
• Select and evaluate models (hosted vs open-source) based on use case constraints
• Design and build agentic workflows capable of multi-step reasoning and decision-making
• Integrate agents with tools, APIs, and internal systems to perform real-world actions
• Implement planning, execution, and reflection loops for complex tasks
• Manage context, memory, and state across multi-step interactions
• Balance deterministic workflows vs. agent autonomy for reliability and control
• Run structured experiments to compare approaches (prompting, retrieval, models)
• Define and track key metrics for AI performance (quality, latency, cost)
• Debug and improve non-deterministic system behavior
• Build and maintain evaluation datasets and benchmarks
• Implement automated evaluation pipelines for continuous improvement
• Drive technical direction and influence AI adoption across teams
• Partner with product managers and designers to scope AI features
• Contribute to shared patterns and reusable components
• Participate in code reviews and design discussions
• Support and mentor mid-level engineers where needed
• Design guardrails to ensure safe and reliable AI behavior
• Mitigate hallucinations, prompt injection, and model misuse
• Ensure compliance with data privacy and enterprise requirements
• Implement monitoring and observability for AI systems in production
• Implement guardrails for agent actions (tool access control, execution boundaries)
• Prevent failure cascades in multi-step agent workflows
Qualifications:
Required:
• Strong understanding of LLM capabilities and limitations
• Experience with prompt engineering and structured output design
• Hands-on experience with embeddings and vector search
• Familiarity with RAG architectures and when to apply them
• Experience designing agent-based architectures (AgentCore concepts)
• Understanding of tool use, planning strategies, and memory mechanisms in LLM systems
• 4+ years of related work experience
• Solid backend/system design fundamentals
• Evaluate agent performance across multi-step tasks (task success rate, error propagation)
• Debug and optimize agent decision-making and tool selection behavior
• Experience building and deploying production-grade systems
• Ability to debug complex issues, including probabilistic outputs
• Comfort working with APIs, pipelines, and data flows
• Ability to translate user needs into effective AI solutions
• Strong intuition for balancing quality, latency, and cost
• Focus on delivering measurable product impact
• Communicates clearly across engineering and product teams
• Contributes to team knowledge and shared practices
Company:
Florence is a clinical trials platform that connects pharmaceutical companies and study sites to decentralize trials for drug development. Founded in 2014, the company is headquartered in Atlanta, USA, with a team of 201-500 employees. The company is currently Growth Stage.