Senior AI Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Construct and implement multi-agent AI workflows utilizing LangGraph or similar frameworks.

• Create RAG, retrieval, validation, knowledge-mapping, and document-generation agents.

• Integrate enterprise-approved LLMs, such as Anthropic Claude or equivalent platforms.

• Establish human-in-the-loop workflows, checkpointing, and resumable agent processes.

• Develop automated data reconciliation and validation pipelines.

• Work with both structured and unstructured enterprise data within a secure cloud environment.

• Collaborate with solution architects and business stakeholders to operationalize AI solutions.

⛳️ Requirements

• Proven experience in building Agentic AI or Multi-Agent systems in a production setting.

• Expertise in LangGraph or similar agent orchestration tools.

• Practical experience with RAG, LLM integration, and enterprise AI applications.

• Familiarity with Databricks, Azure, AWS, or GCP.

• Strong proficiency in Python and data engineering methodologies.

• Experience in implementing dependable human-in-the-loop AI workflows.

• Capability to build and deploy production-grade AI solutions—not merely prototypes.

• Preferred: Experience with Databricks Mosaic AI, Anthropic Claude, Unity Catalog, Vector Search, Agentic RAG, enterprise AI governance, and background in banking or other regulated industries.

🏝️ Benefits

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and the option for remote work.

• Professional development opportunities and continuous learning.

• Retirement savings plan with company match.

• Collaborative and innovative work environment.