Evergreen: AI Platform & Data Engineer

Ad Hoc LLC is a technology company that empowers organizations to deliver scalable, impactful digital services. They are seeking a Senior AI Platform & Data Engineer who will design, build, and operationalize scalable AI/ML infrastructure, implement model lifecycle management, and mentor junior engineers while driving improvements in data processes and practices.

Responsibilities:

• Design, build, and operationalize a scalable AI/ML infrastructure to support multi-agent AI systems
• Implement the Model Control Plane (MCP) for model lifecycle management. Provide reusable AI services and data foundations
• Researching and integrating AI agent frameworks (e.g., LangChain). Designing the MCP for model registry and lineage tracking
• Developing shared foundational services like a managed vector database (for RAG) and distributed caching. Integrating Human-in-the-Loop (HITL) workflows for safe agent operation
• Strong influential skills to propose and evaluate multiple approaches to technical and process problems
• Serves as a mentor to individuals within the team
• May leads small, less critical, or temporary team structures and projects
• Presents design documents, system diagrams, etc. to clients, stakeholders, partners, and other engineers
• Fully understands and consistently implements data engineering best practices
• Generates data architecture recommendations and demonstrates the ability to implement them
• Diagnoses and effectively resolves issues with the systems they own, using incidents to inform educational opportunities and system improvements
• Actively mentors and assists more junior engineers in the development of their skills
• Effectively communicates technical issues and developments with team members and clients
• Participates in technical interviews with new candidates

Requirements:

• Bachelor's degree and 7+ years of experience
• • Relevant years of experience may be substituted for education
• Demonstrates expert-level knowledge in at least one family of data ingestion systems, cloud database services, and visualization software
• Expertise in key data concepts including constructing databases, processing big data, improving data accuracy, etc
• Strong experience with data engineer in the cloud
• Expertise in AI/ML workflows, model deployment, and observability (latency, throughput)
• Ability to design for data privacy and implement technical AI guardrails
• Python (primary language), SQL, Spark/Databricks (for large-scale data processing), Kubernetes/ECS, OpenAPI (for API documentation), experience with vector databases and feature stores