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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** FLORENCE AND FLORENCE, LLC - **Location:** Atlanta, GA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Automated Storage and Retrieval Systems, Code Review, Software Debugging, Monitoring of Systems, Open Source Technology, Performance Tuning, Search Technologies, Software Deployment, Data Streaming, Large Language Models, Prompt Engineering, Backend, Build Management, Low Latency - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0c2e6cced27abbce ## About the Role Do you have experience in Workflow management (operations management method)?, * 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 ## Description We are looking for a Senior AI Engineer to design, build, and deploy high-quality AI-powered features. This role focuses on owning end-to-end implementation of AI systems within a product area - from prototyping to production - with a strong emphasis on reliability, iteration, and measurable impact. You will work closely with product and engineering teams to turn ambiguous problems into effective AI solutions, while contributing to best practices and raising the bar for AI development., * 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 AI System Implementation * 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 * Agent-Based Systems (AgentCore) * + 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 Experimentation & Evaluation * 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 Collaboration & Contribution * 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 AI Reliability, Safety & Governance * 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 ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Are Code Reviews Worth It? Insights from 16 Years of Review Data](https://www.wearedevelopers.com/videos/1135-are-code-reviews-worth-it-insights-from-16-years-of-review-data) - [Swapping Low Latency Data Storage Under High Load](https://www.wearedevelopers.com/videos/746-swapping-low-latency-data-storage-under-high-load) - [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents) - [AI Killed DevOps... What Now? - Lee Faus](https://www.wearedevelopers.com/videos/1759-ai-killed-devops-what-now-lee-faus) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)