Dunhill Professional Search
Generative AI Engineer (GenAI Engineer) - Remote based in U.S
*Must be US Citizen Due to Federal Contract Requirements*
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. About the Role We are seeking an innovative Generative AI Engineer with deep technical expertise and a passion for solving real-world, mission-critical problems through advanced AI. In this role, you’ll identify, design, and build next-generation AI agent solutions that transform client ecosystems and redefine operational efficiency. You’ll work closely with a diverse team of AI leaders, software and systems engineers, data scientists, solutions architects, and product owners to deliver enterprise-grade GenAI applications — from rapid prototypes to large-scale deployments. What You’ll Do Design and develop GenAI use cases tailored to client objectives and data ecosystems. Build and deploy agentic AI systems , leveraging the right frameworks and architectures for optimal results. Implement and integrate large language models (LLMs) and transformer models across leading AI platforms such as Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI . Develop solutions using cloud-based AI services , including Google Cloud Document AI, Gemini, Gemma, and Generative AI Language Models . Utilize NVIDIA AI Foundations , OpenAI ChatGPT , and Databricks Mosaic AI to enhance model development, fine-tuning, and deployment. Prototype, test, and iterate on generative AI applications that drive measurable impact. Exhibit curiosity, experimentation, and continuous learning to fuel innovation across enterprise domains. What You’ll Bring Proven experience with modern generative AI techniques , including LLMs, transformer models, and retrieval-augmented generation (RAG) . Hands-on expertise with AI and cloud platforms , such as Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI . Experience designing RAG pipelines using vector databases like Pinecone, Weaviate, ChromaDB, or FAISS . Proficiency in Python, SQL, Go, or other modern programming languages. Strong foundation in cloud architecture and AI service integration (e.g., Google Document AI, Gemini, Gemma).
Bonus Points For Deep understanding of AI ethics, responsible AI practices, and data governance in generative AI . Hands-on experience in LLM fine-tuning, LLMOps, and prompt engineering . Familiarity with AI-assisted development tools (e.g., Cursor, Windsurf, Claude). Experience with tool-using AI agents and API integration for dynamic data access. Proficiency in containerization and deployment using Docker, Kubernetes, or VMware . Skilled in scripting and automation using Linux Bash, PowerShell, or equivalent tools. Key Skills & Competencies Generative AI Development & Deployment LLM Selection, Fine-Tuning & Integration Prompt Engineering & Agentic AI Design Retrieval-Augmented Generation (RAG) Cloud AI Services (AWS, Google Cloud, Azure) Vector Databases & Knowledge Retrieval Python / SQL / Go Programming MLOps / LLMOps Practices Responsible & Ethical AI Design #Remote #CjPost
A variety of soft skills and experience may be required for the following role Please ensure you check the overview below carefully. About the Role We are seeking an innovative Generative AI Engineer with deep technical expertise and a passion for solving real-world, mission-critical problems through advanced AI. In this role, you’ll identify, design, and build next-generation AI agent solutions that transform client ecosystems and redefine operational efficiency. You’ll work closely with a diverse team of AI leaders, software and systems engineers, data scientists, solutions architects, and product owners to deliver enterprise-grade GenAI applications — from rapid prototypes to large-scale deployments. What You’ll Do Design and develop GenAI use cases tailored to client objectives and data ecosystems. Build and deploy agentic AI systems , leveraging the right frameworks and architectures for optimal results. Implement and integrate large language models (LLMs) and transformer models across leading AI platforms such as Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI . Develop solutions using cloud-based AI services , including Google Cloud Document AI, Gemini, Gemma, and Generative AI Language Models . Utilize NVIDIA AI Foundations , OpenAI ChatGPT , and Databricks Mosaic AI to enhance model development, fine-tuning, and deployment. Prototype, test, and iterate on generative AI applications that drive measurable impact. Exhibit curiosity, experimentation, and continuous learning to fuel innovation across enterprise domains. What You’ll Bring Proven experience with modern generative AI techniques , including LLMs, transformer models, and retrieval-augmented generation (RAG) . Hands-on expertise with AI and cloud platforms , such as Amazon Kendra, Google Vertex AI, AWS Bedrock, and Azure AI . Experience designing RAG pipelines using vector databases like Pinecone, Weaviate, ChromaDB, or FAISS . Proficiency in Python, SQL, Go, or other modern programming languages. Strong foundation in cloud architecture and AI service integration (e.g., Google Document AI, Gemini, Gemma).
Bonus Points For Deep understanding of AI ethics, responsible AI practices, and data governance in generative AI . Hands-on experience in LLM fine-tuning, LLMOps, and prompt engineering . Familiarity with AI-assisted development tools (e.g., Cursor, Windsurf, Claude). Experience with tool-using AI agents and API integration for dynamic data access. Proficiency in containerization and deployment using Docker, Kubernetes, or VMware . Skilled in scripting and automation using Linux Bash, PowerShell, or equivalent tools. Key Skills & Competencies Generative AI Development & Deployment LLM Selection, Fine-Tuning & Integration Prompt Engineering & Agentic AI Design Retrieval-Augmented Generation (RAG) Cloud AI Services (AWS, Google Cloud, Azure) Vector Databases & Knowledge Retrieval Python / SQL / Go Programming MLOps / LLMOps Practices Responsible & Ethical AI Design #Remote #CjPost