Artificial Intelligence Engineer

Qorali; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Job summary

Qorali in Chicago seeks an experienced AI Engineer to shape and deliver next-generation AI solutions that support critical operations and decision-making.

You will lead design, development, and deployment of AI-powered applications, leverage large language models, integrate with enterprise data, and build scalable, cloud-based infrastructure.

The role emphasizes governance, monitoring, and collaboration with stakeholders to drive AI-driven transformation and engineering excellence.

Qualifications

• Advanced Python development experience building scalable software applications.
• Strong SQL skills and understanding of modern application architecture, APIs, and distributed systems.
• Hands-on experience developing solutions powered by large language models, conversational AI, or intelligent automation technologies.

Responsibilities

• Lead the design, development, and deployment of sophisticated AI-powered applications and intelligent workflow solutions.
• Build systems that leverage large language models, enterprise data, and external tools to automate complex business processes.
• Develop scalable frameworks for workflow orchestration, model interactions, and decision-support capabilities.
• Design and enhance cloud-based infrastructure to support AI application delivery and performance.
• Establish controls and validation mechanisms to improve reliability, transparency, and trust in AI-generated outputs.
• Create monitoring, auditing, and review processes that support operational oversight and accountability.
• Collaborate with technical and business stakeholders to identify opportunities for AI-driven transformation and efficiency.
• Drive engineering excellence through architecture reviews, technical leadership, and mentoring of fellow engineers.
• Contribute to the evolution of development standards, platform capabilities, and long-term technology strategy.
• Support performance optimization, operational readiness, and continuous improvement of deployed solutions.

Skills

Python

SQL

LLMs / AI models

APIs & distributed systems

Cloud architectures

Security & governance

Stakeholder communication

Tools

Docker

CI/CD

Terraform

Kubernetes

AWS

Job description

We are partnering with a leading organization operating at the center of the financial markets ecosystem as they continue to invest in advanced artificial intelligence capabilities. As part of a newly formed innovation team, they are seeking an experienced AI Engineer to help shape and deliver next-generation AI solutions that support business-critical operations and decision-making.

Key Responsibilities

• Lead the design, development, and deployment of sophisticated AI-powered applications and intelligent workflow solutions.
• Build systems that leverage large language models, enterprise data, and external tools to automate complex business processes.
• Develop scalable frameworks for workflow orchestration, model interactions, and decision-support capabilities.
• Design and enhance cloud-based infrastructure to support AI application delivery and performance.
• Establish controls and validation mechanisms to improve reliability, transparency, and trust in AI-generated outputs.
• Create monitoring, auditing, and review processes that support operational oversight and accountability.
• Collaborate with technical and business stakeholders to identify opportunities for AI-driven transformation and efficiency.
• Drive engineering excellence through architecture reviews, technical leadership, and mentoring of fellow engineers.
• Contribute to the evolution of development standards, platform capabilities, and long-term technology strategy.
• Support performance optimization, operational readiness, and continuous improvement of deployed solutions.

Technical Skills

• Advanced Python development experience building scalable software applications.
• Strong SQL skills and understanding of modern application architecture, APIs, and distributed systems.
• Hands-on experience developing solutions powered by large language models, conversational AI, or intelligent automation technologies.
• Experience deploying and supporting applications within cloud environments, ideally AWS.
• Knowledge of AI quality, reliability, security, and governance principles.
• Experience integrating AI capabilities with enterprise platforms, APIs, data sources, and business systems.
• Familiarity with workflow automation, tool integrations, and modern AI application frameworks.
• Experience with Docker, CI/CD pipelines, infrastructure automation, and cloud-native engineering practices.
• Exposure to Kubernetes, Terraform, or other infrastructure management technologies.
• Understanding of model evaluation, testing, monitoring, and operational support for AI-driven applications.
• Experience working with complex, high-availability systems where reliability and quality are critical.
• Strong communication skills with the ability to engage technical and non-technical stakeholders effectively.