AI Engineer

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

Job summary

Insight Global is seeking a hands-on AI Engineer to build an AI-powered loans platform in a leading financial services organization. The role centers on developing an AI Agent to extract terms from credit agreements and support automated loan processes.

The platform leverages AI/LLM tech, event-driven services, APIs, and blockchain-based processing. The ideal candidate translates ideas into production-ready code using AI-assisted tools, with 4 days onsite and 1 day remote in Dallas, TX.

Qualifications

• 10+ years of professional software engineering experience.
• Experience with AI-assisted software development and coding agents.
• Experience integrating LLMs/AI Agents into software solutions.
• Proficiency in Java, Python, and React.
• Experience building REST APIs.
• Experience with Kafka and event-driven architecture.
• Experience with Snowflake or comparable data platforms.
• Strong understanding of distributed systems, architecture, and problem solving.
• Bachelor’s degree in Computer Science, Engineering, or related field.
• Ability to work independently in a fast-paced environment.
• Experience within financial services, banking, capital markets, or lending/loans.

Responsibilities

• AI Agent Development: Design and develop AI-powered solutions that can process complex credit agreements and extract terms.
• AI-Assisted Software Development: Leverage LLMs and AI coding agents to accelerate delivery.
• Full-Stack Engineering: Build and maintain Java/Python backend services and React frontend.
• LLM & AI Integration: Integrate LLM capabilities into production applications and AI orchestration.
• API & Event-Driven Architecture: Design REST APIs and event-driven services with Kafka.
• End-To-End Ownership: Own components from discovery through production support.
• Data & Platform Integration: Work with Snowflake and distributed data systems for workflows.
• Cross-Functional Collaboration: Partner with product, engineering, and operations teams.

Skills

Java

Python

React

AI-assisted development

LLMs/AI Agents

REST APIs

Kafka

Event-driven architecture

Snowflake

Distributed systems

Architecture

Problem solving

Independent work

Financial services experience

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Tools

Docker/Kubernetes

Job description

10+ years of professional software engineering experience with a demonstrated track record of delivering production applications.

Strong hands-on experience with AI-assisted software development, including the use of AI coding agents.

Experience developing applications that integrate LLMs and/or AI Agents into software solutions.

Strong proficiency in Java, Python, and React.

Experience building and integrating REST APIs.

Experience with Kafka and event-driven architecture.

Experience working with Snowflake or comparable data platforms.

Strong understanding of software engineering fundamentals, distributed systems, architecture, and problem solving.

Bachelor’s degree in Computer Science, Engineering, or a related field.

Ability to work independently in a fast-paced environment.

Experience within financial services, banking, capital markets, or lending/loans.

Nice to Have Skills & Experience

• Experience working with credit agreements, loan servicing, or structured credit products.
• Experience with blockchain, smart contracts, or on-chain transaction systems.
• Experience with RAG architectures, prompt engineering, AI/ML integrations, or AI-powered document processing.
• Experience with containerized applications and technologies such as Docker/Kubernetes.
• Experience working on greenfield platforms or early-stage technology initiatives.

Job Description

We are seeking a hands-on AI Engineer to help build a strategic AI-powered loans platform within a leading financial services organization. This role will focus heavily on developing an AI Agent capable of extracting and understanding key terms from complex credit agreements and using that information to support automated loan processes.

The platform combines AI/LLM technologies, event-driven services, APIs, and blockchain-based transaction processing to modernize how complex loan and structured credit products are onboarded and serviced. The ideal candidate can quickly translate ideas into production-ready code and has experience using AI-assisted development tools and coding agents to accelerate software delivery. This is a 12-month contract-to-hire position is based in Dallas, TX and requires 4 days onsite and 1 day remote.

Key Responsibilities:

• AI Agent Development: Design and develop AI-powered solutions that can process complex credit agreements, extract financial terms, and understand the underlying business processes and requirements.
• AI-Assisted Software Development: Leverage LLMs and AI coding agents such as Codex or Claude throughout the software development lifecycle to rapidly prototype, develop, test, and deliver high-quality production code.
• Full-Stack Engineering: Build and maintain applications across the technology stack, including Java and Python backend services and React-based frontend applications.
• LLM & AI Integration: Integrate LLM capabilities into production applications and contribute to AI orchestration, prompt engineering, document processing, and AI Agent development.
• API & Event-Driven Architecture: Design and implement REST APIs and event-driven services using technologies such as Kafka, with a focus on scalable and resilient distributed systems.
• End-to-End Ownership: Take ownership of technical components from discovery and rapid prototyping through development, testing, deployment, and ongoing production support.
• Data & Platform Integration: Work with technologies including Snowflake and distributed data systems to support AI-powered applications and financial workflows.
• Cross-Functional Collaboration: Partner with product, engineering, operations, and other stakeholders to translate business requirements into scalable technical solutions.