Remote Senior AI Data Engineer — Production-Grade Multi-Agent

HIGH BRIDGE CONSULTING LLC; United States; À distance; USD 150 000 - 185 000; Plein temps

Résumé du poste

HIGH BRIDGE CONSULTING LLC seeks a hands-on Senior AI / Data Engineer to build and deploy production-grade Agentic AI and multi-agent solutions for a major enterprise transformation. This remote role focuses on engineering and production deployment, not research or experimentation.

You will integrate enterprise LLMs, implement human-in-the-loop workflows, and build data validation pipelines in secure cloud environments across AWS/Azure/GCP. Strong Python and data engineering skills are essential.

Qualifications

• Production experience building Agentic AI or Multi-Agent systems.
• Strong LangGraph or comparable agent orchestration experience.
• Hands-on experience with RAG, LLM integration, and enterprise AI applications.
• Experience with Databricks, Azure, AWS, or GCP.
• Strong Python and data engineering skills.
• Experience implementing reliable human-in-the-loop AI workflows.
• Ability to build and deploy production-grade AI solutions, not just prototypes.

Responsabilités

• Build and deploy multi-agent AI workflows using LangGraph or similar frameworks.
• Develop RAG, retrieval, validation, knowledge-mapping, and document-generation agents.
• Integrate enterprise-approved LLMs, including Anthropic Claude or comparable platforms.
• Implement human-in-the-loop workflows, checkpointing, and resumable agent processes.
• Build automated data reconciliation and validation pipelines.
• Work with structured and unstructured enterprise data in a secure cloud environment.
• Partner with solution architects and business stakeholders to productionize AI solutions.

Connaissances

Agentic AI

LangGraph

RAG

LLM integration

Databricks

Python

HITL

Outils

Azure

AWS

GCP

Description du poste

HIGH BRIDGE CONSULTING LLC seeks a hands-on Senior AI / Data Engineer to build and deploy production-grade Agentic AI and multi-agent solutions for a major enterprise transformation. This remote role focuses on engineering and production deployment, not research or experimentation.

You will integrate enterprise LLMs, implement human-in-the-loop workflows, and build data validation pipelines in secure cloud environments across AWS/Azure/GCP. Strong Python and data engineering skills are essential.