Senior Full Stack AI Engineer

LHH Recruitment Solutions is seeking MULTIPLE Senior Full Stack AI Engineers in Nashville, TN to lead the development of intelligent, AI-driven applications from concept through deployment. This role combines modern software engineering practices with advanced AI integration, requiring expertise across frontend development, backend architecture, agent-based workflows, and large language model (LLM) technologies. Title: Full Stack AI Engineer Type: Direct Hire/Permanent Reason for opening: Company growth; adding to headcount Compensation will vary depending on experience and is very broad due to multiple openings on the team. This role offers both a base salary and bonus opportunities Job Description: Develop scalable web applications and intelligent software solutions spanning frontend interfaces, backend services, and AI-powered capabilities.Architect and implement distributed systems, APIs, and service integrations that support high-performance, production-grade applications.Build and optimize AI-enabled workflows that incorporate planning, task orchestration, tool execution, exception handling, and automated recovery processes.Create responsive, real-time user experiences utilizing streaming responses, event-driven architectures, and low-latency interactions.Integrate large language models, contextual memory frameworks, and external services to deliver reliable and intelligent application behavior.Enhance application resiliency through monitoring, observability, fault tolerance, and performance optimization initiatives.Partner with product, engineering, and machine learning teams to deliver business-critical features from design through release.Evaluate production feedback and usage patterns to continuously improve system performance, usability, and AI effectiveness.Make sound engineering decisions while balancing technical excellence, business priorities, and evolving project requirements. Required Qualifications Proven experience designing and delivering full stack applications across both frontend and backend environments.Strong background in software architecture, system design, and API development best practices.Demonstrated success leading product features through the complete software development lifecycle, from requirements through production release.Experience building AI-powered applications utilizing LLMs, contextual memory systems, and third-party integrations.Expertise designing multi-agent or orchestration-based workflows that support complex decision making and task execution.Experience developing applications that support real-time interactions, streaming data, and performance-sensitive workloads.Strong understanding of reliability engineering, monitoring, observability, and system recovery strategies.Ability to operate effectively in dynamic environments with evolving priorities and limited direction. Preferred Qualifications Hands-on experience developing production applications using Next.js, Python, and/or Node.js.Experience building Retrieval-Augmented Generation (RAG) solutions, agentic AI systems, or generative AI applications.Knowledge of containerized and cloud-native technologies including Docker and Kubernetes.Experience designing and supporting both SQL and NoSQL database environments.Familiarity with AI frameworks such as PyTorch and integrations with OpenAI, Anthropic, or open-source language models.Experience developing reusable AI infrastructure components, including memory layers, model abstractions, and tool integration frameworks.Background establishing AI evaluation strategies, monitoring models in production, and improving workflow success rates through data-driven optimization. Technical Environment Frontend: Next.js, JavaScript/TypeScript Backend: Python, Node.js AI & Machine Learning: OpenAI, Anthropic, Open Source LLMs, PyTorch Data Platforms: SQL, NoSQL Databases Containerization & Orchestration: Docker, Kubernetes APIs & Integrations: RESTful Services, AI Tooling, External Platform Integrations