Ai Engineer Jobs

About The Position

Requirements

• 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—not just prototype—AI solutions.

Nice To Haves

• Databricks Mosaic AI
• Anthropic Claude
• Unity Catalog
• Vector Search
• Agentic RAG
• enterprise AI governance
• banking or other regulated-industry experience.

Responsibilities

• 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.