Johnson, Tennessee Job Summary We are looking for an experienced AI Developer to design, develop, test, and deploy enterprise-grade Generative AI and Agentic AI solutions leveraging the Google AI ecosystem, including Gemini models, Vertex AI, Google AI Studio, Agent Development frameworks, RAG architectures, and AI evaluation/testing methodologies. The candidate will be responsible for building intelligent AI agents, orchestrating multi-agent workflows, integrating enterprise systems, and ensuring production-grade reliability, security, and governance of AI solutions. Key Responsibilities AI Solution Development Design and develop Generative AI applications using Gemini models. Build enterprise AI assistants, copilots, chatbots, and AI agents. Develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge repositories. Integrate AI capabilities with enterprise applications, APIs, databases, and cloud services. Agentic AI Engineering Design and implement autonomous and multi-agent systems. Build agent orchestration workflows using planning, reasoning, memory, and tool-calling capabilities. Develop agents that can interact with APIs, enterprise tools, databases, SharePoint, and business applications. Implement Human-in-the-Loop (HITL) mechanisms for critical decision workflows. Develop agent guardrails and safety controls. Google AI Platform Expertise Build and deploy AI solutions using: Google Gemini Models Vertex AI Google AI Studio Vertex AI Agent Builder Vertex AI Search Vertex AI Extensions Vertex AI Pipelines Model Garden Prompt Management Frameworks AI Testing & Evaluation Design AI testing frameworks and evaluation pipelines.

Validate:

Correctness Accuracy Hallucination Rate Relevance Groundedness Safety Toxicity Latency Cost Efficiency Build automated regression testing for AI agents. Perform red-teaming and adversarial testing. Create benchmark datasets and evaluation metrics. Production Deployment & Operations Deploy and monitor AI workloads on Google Cloud Platform (GCP). Establish observability, monitoring, and AI governance controls. Optimize model performance, token consumption, latency, and operational costs. Implement CI/CD and MLOps/LLMOps practices. Stakeholder Collaboration Gather business requirements and convert them into AI solutions. Collaborate with product owners, architects, data engineers, and business stakeholders. Provide technical leadership on AI strategy and implementation.

Required Technical Skills Generative AI Google AI Stack Agent AI Engineering RAG & Knowledge Systems AI Evaluation & Testing Programming & Engineering Cloud & DevOpsEducation & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience2-4+ years in software development. 2-4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services. Experience in deploying AI applications into production environments. Skill Requirements Generative AI Google AI Stack Agent AI Engineering RAG & Knowledge Systems AI Evaluation & Testing Programming & Engineering Cloud & DevOps Other Requirements Education & Experience Education Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field.

Experience 2-4+ years in AI/ML or Generative AI solutions. Hands-on experience with Gemini and Google Cloud AI services. Experience in deploying AI applications into production environments. Maximum Salary (US): 148000 Minimum Salary (US): 78000 #body.unify div.unify-button-container .

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