AI Engineer

Thinking Minds Inc.; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Thinking Minds Inc. seeks an experienced AI Engineer to design, test, deploy, and support enterprise AI solutions that advance the bank’s Data & AI strategy. You will develop AI agents, LLM applications, retrieval solutions, and governance controls using Databricks and approved platforms.

The role requires 5 years in production AI/data systems, strong Python and Databricks skills, and expertise in LLMs and governance within a regulated financial services environment.

Qualifications

• 5+ years of experience in production AI/data systems.
• Strong Python and Databricks expertise.
• Experience with large language models (LLM) and RAG.
• Knowledge of AI governance and regulatory considerations in finance.

Responsibilities

• Design and develop AI-powered applications, copilots, and agent-based solutions using Python and Databricks.
• Build retrieval-augmented generation (RAG) solutions and workflow automations.
• Maintain integrations between AI solutions and enterprise systems.
• Participate in prompt engineering and agent orchestration.
• Support model evaluation, monitoring, and optimization.
• Troubleshoot AI application issues and contribute to performance tuning.
• Ensure AI solutions meet business, regulatory, and governance requirements.

Skills

Large language models (LLM)

RAG

AI governance

Multi-agent architectures

Prompt engineering

Agent orchestration

Tools

Python

Databricks

Job description

Job Summary

Location: United States

Experience: 5 years in production AI/data systems

Job Type: Permanent

Thinking Minds’ client is looking for an experienced AI Engineer to develop, test, deploy, and support enterprise AI solutions that advance the bank’s Data & AI strategy. This role is crucial for designing and implementing AI agents, large language model (LLM) applications, retrieval solutions, and governance controls using Databricks and approved enterprise AI platforms.

Ideal Candidate Should Have

• Python and Databricks experience
• Expertise in large language models (LLM)
• Experience with AI governance
• Knowledge of retrieval-augmented generation (RAG)
• Understanding of multi-agent architectures

Role Overview

The AI Engineer will work across data engineering, software development, AI governance, and business process optimization. The role involves developing expertise in generative AI , agentic architectures, and responsible AI practices within a regulated financial services environment. The engineer will contribute to the design and implementation of AI-powered applications and ensure they meet business and regulatory requirements.

Key Responsibilities

• Design and develop AI-powered applications, copilots, and agent-based solutions using Python and Databricks
• Build retrieval-augmented generation (RAG) solutions and workflow automations
• Maintain integrations between AI solutions and enterprise systems
• Participate in prompt engineering and agent orchestration
• Support model evaluation, monitoring, and optimization
• Troubleshoot AI application issues and contribute to performance tuning
• Ensure AI solutions meet business, regulatory, and governance requirements

Top Skills and Modules

• Python
• Databricks
• Large language models (LLM)
• Retrieval-augmented generation (RAG)
• AI governance
• Multi-agent architectures
• Prompt engineering
• Agent orchestration