Senior AI Engineer (Agentic AI)

Location: Remote - United States; New York and Washington D.C.

Company

hirify.global is a data engineering and AI consultancy that builds production-grade data platforms, machine learning systems, analytics solutions, and AI products for enterprise, startup, and private equity clients.

What you will do

• Build production-grade agentic systems on Databricks and other lakehouse platforms, including orchestration, task runners, and monitoring layers.
• Implement RAG pipelines, vector stores, embedding pipelines, and retrieval architectures designed for real-world load.
• Develop evaluation, observability, and guardrail frameworks for client-deployed AI systems.
• Design MCP servers and tool-calling layers connecting LLMs with systems of record, internal APIs, and third-party SaaS.
• Lead the AI engineering workstream within client delivery pods and partner with architects and consultants on platform and roadmap decisions.
• Coach client engineering teams on production AI patterns, prompt management, model routing, and FinOps.

Requirements

• 5+ years building production data and ML systems in Python, including 2+ years working with LLM-based or agentic systems.
• Hands-on experience with a major LLM orchestration framework such as LangChain, LangGraph, Langflow, or Databricks Agent Framework.
• Production experience with Databricks, including Unity Catalog, Delta Live Tables, and MLflow, or a comparable lakehouse platform such as Snowflake with dbt.
• Deep knowledge of RAG architectures, vector databases, and embedding pipelines.
• Experience taking AI systems from prototype to production, including evaluations, monitoring, and on-call ownership.
• Comfort working directly with client engineering teams as a peer and coach.

Nice to have

• Databricks, AWS, or Azure certifications.
• Experience with MCP, tool-calling protocols, or agentic protocol design.
• Security-aware AI engineering experience, including prompt injection, data leakage, and access control.
• Multimodal AI experience across text, documents, and images.
• FinOps experience optimizing model and compute spending.

Culture & Benefits

• Flexible remote work environment within the stated United States location scope.
• Competitive compensation with performance bonuses.
• Professional development budget and certification support.
• Access to Databricks, AWS, GCP, Azure, and other current technology stacks.
• Builder-oriented culture focused on shipping production-grade systems.
• Collaborative work across diverse and challenging client projects.