AI Engineer — LLM-Driven Fintech Platform (Hybrid)

Insight Global (United States); Dallas (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Insight Global is seeking a hands-on AI Engineer to help build an AI-powered loans platform within a leading financial services organization. The role focuses on developing an AI Agent to extract terms from credit agreements and support automated loan processes, using AI-assisted development tools to accelerate delivery.

The position is a 12-month contract-to-hire in Dallas, TX with four days onsite and one day remote.

Qualifications

• 7+ years of professional software engineering experience.
• Experience integrating LLMs/AI agents into software.
• Strong proficiency in Java, Python, and React.
• Experience building REST APIs and event-driven architectures.
• Experience with Kafka and Snowflake or similar data platforms.
• Experience with blockchain/transaction systems is a plus.

Responsibilities

• Design and develop AI-powered solutions to process complex credit agreements and extract terms.
• Use AI coding agents and LLMs to accelerate software delivery.
• Build and maintain full-stack apps with Java, Python, and React.
• Integrate LLM capabilities into production applications and orchestration.
• Develop REST APIs and event-driven services (Kafka).
• Own components from discovery through deployment and production support.
• Collaborate with product, engineering, and operations to translate requirements into scalable tech.

Skills

AI-assisted development

Distributed systems

Java

Python

React

REST APIs

Kafka

Snowflake

Education

Bachelor's degree in CS/Engineering

Tools

Docker

Kubernetes

Job description

Insight Global is seeking a hands-on AI Engineer to help build an AI-powered loans platform within a leading financial services organization. The role focuses on developing an AI Agent to extract terms from credit agreements and support automated loan processes, using AI-assisted development tools to accelerate delivery.

The position is a 12-month contract-to-hire in Dallas, TX with four days onsite and one day remote.