Data Engineer – AI

Position: Data Engineer AI Type: Full-Time Compensation: $200K - $350K/yr Location: Remote Role Responsibilities Design, implement, and optimize AI/ML models using large language models (LLMs), retrieval-augmented generation (RAG), and prompt engineering for production-grade applications. Develop and orchestrate multi-agent systems utilizing frameworks such as LangGraph and LangChain. Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference. Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions. Collaborate with product, security, and engineering teams to ensure best-in-class delivery, adhering to secure coding and DevOps best practices. Requirements Have strong relevant experience in Python for AI/ML development, including proficiency with REST APIs and SDK integration. Have hands-on experience with LLMs, RAG systems, and prompt engineering in production environments. Be familiar with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain. Possess a deep understanding of cloud AI services, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock. Have a background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes. Application Process Easy Apply on LinkedIn Check email for next steps Participate in resume evaluation & interview stage