Data Engineer – AI | Remote

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