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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Hiring: GenAI Engineer - **Company:** Amazon.com, Inc. - **Location:** Charlotte, NC, United States - **Salary:** $110,000.0 - $145,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Engineering, Python (Programming Language), Salesforce.Com, Software Deployment, Software Engineering, Workflow Management Systems, Google Cloud, Chatbots, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Git, Data Management, Api Design, Restful APIs, Software Version Control, Api Management, Servicenow, Microservices - **Published:** July 3, 2026 - **Apply:** https://www.careerjet.com/jobad/use69fa8a33713bf1a50232f5d6776f88c ## About the Role * Strong experience with Generative AI, Large Language Models (LLMs), and AI-powered application development. * Hands-on experience building AI Agents, Copilots, Chatbots, and Workflow Automation solutions. * Expertise in Prompt Engineering, Prompt Optimization, and AI Workflow Design. * Experience with AI orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, AutoGen, or similar technologies. * Strong knowledge of Retrieval-Augmented Generation (RAG), Vector Databases, Embeddings, and Enterprise Knowledge Integration. * Experience integrating AI solutions with enterprise platforms such as ServiceNow, Salesforce, Data Platforms, and internal applications. * Strong API development and integration experience using REST APIs, Microservices, and Service Orchestration patterns. * Proficiency in Python and experience developing AI/ML-based applications. * Experience with cloud platforms including AWS, Azure, or Google Cloud Platform (GCP), preferably Azure OpenAI, AWS Bedrock, or Google Vertex AI. * Knowledge of enterprise architecture, scalable application design, and production deployment of AI solutions. * Understanding of AI Security, Data Privacy, Governance, Responsible AI, and Model Risk Management. * Experience working with CI/CD pipelines, Git-based version control, and Agile development methodologies. Preferred Skills * Experience deploying enterprise AI solutions into production environments. * Familiarity with AI monitoring, evaluation frameworks, and model performance optimization. * Knowledge of compliance, regulatory requirements, and AI governance frameworks. ## Description Seeking an experienced GenAI Engineer to design, develop, and implement enterprise-grade AI solutions. The ideal candidate will have expertise in Large Language Models (LLMs), AI agents, workflow automation, API integrations, and cloud-based AI services. This role will focus on building scalable AI-powered applications, copilots, and intelligent automation solutions while ensuring security, governance, and enterprise compliance standards. ## Related Videos - [Applying Agile Principles to Incident Management ](https://www.wearedevelopers.com/videos/101-applying-agile-principles-to-incident-management) - [Chatbots are going to destroy infrastructures and your cloud bills](https://www.wearedevelopers.com/videos/1130-chatbots-are-going-to-destroy-infrastructures-and-your-cloud-bills) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Should we build Generative AI into our existing software?](https://www.wearedevelopers.com/videos/1129-should-we-build-generative-ai-into-our-existing-software) - [AI in Production: applied AI & enterprise use cases](https://www.wearedevelopers.com/videos/100130-ai-in-production-applied-ai-enterprise-use-cases) - [Testing AI Agents: Automated Evaluation for Chatbots & RAG Systems](https://www.wearedevelopers.com/videos/100300-testing-ai-agents-automated-evaluation-for-chatbots-rag-systems) ## Related Articles - [Got AI ideas but no money? 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