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