AI Integration Engineer

Jobtailor; Illinois; On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking an experienced cloud/AI engineer to configure and deploy AI tools across our internal systems. You will design integrations, build APIs, and create automations to enable scalable workflows.

Collaborate with cross-functional teams to deliver practical AI-driven solutions while ensuring security and performance within our cloud environment. You will troubleshoot issues, optimize performance, and stay current on AI advancements, sharing knowledge and guidance with teammates to

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience.
• 3+ years of experience with cloud technologies, integrations, or software engineering.
• Strong interest in AI and curiosity about real-world impact.
• Familiarity with large language models (LLMs) and AI platforms.
• Experience configuring, integrating, or supporting technical tools and systems.
• Working knowledge of cloud infrastructure and services.
• Experience with scripting or programming (Python, JavaScript, Ruby).
• Familiarity with data formats and transformations (JSON, XML, CSV).
• Experience with AI, automation, or data platforms (OpenAI/Azure OpenAI/AWS Bedrock, Workato/Boomi/MuleSoft, Databricks/Snowflake) is a plus.
• Strong problem-solving skills and attention to detail.
• Ability to learn new tools and technologies quickly with the support of your team.
• Clear communication skills and a collaborative mindset.

Responsibilities

• Configure and deploy modern AI tools and platforms to support internal use cases
• Design and build integrations connecting AI solutions to core systems and data
• Develop automations and APIs to enable scalable, efficient workflows
• Partner with cross-functional teams to understand needs and deliver practical AI-driven solutions
• Ensure AI tools are well-integrated, secure, and performant within our cloud environment
• Troubleshoot issues, optimize performance, and continuously improve implementations
• Stay current on AI advancements and bring forward new ideas to test and apply
• Support adoption by sharing knowledge, documentation, and guidance with teammates

Skills

Cloud technologies

Integrations

Software engineering

AI interest

LLMs familiarity

JSON

XML

CSV

Python

JavaScript

Ruby

Education

Bachelor’s degree (CS/IT or equivalent)

Tools

OpenAI

Azure OpenAI

AWS Bedrock

Workato

Boomi

MuleSoft

Databricks

Snowflake

Job description

Responsibilities

• Configure and deploy modern AI tools and platforms to support internal use cases
• Design and build integrations connecting AI solutions to core systems and data
• Develop automations and APIs to enable scalable, efficient workflows
• Partner with cross-functional teams to understand needs and deliver practical AI-driven solutions
• Ensure AI tools are well-integrated, secure, and performant within our cloud environment
• Troubleshoot issues, optimize performance, and continuously improve implementations
• Stay current on AI advancements and bring forward new ideas to test and apply
• Support adoption by sharing knowledge, documentation, and guidance with teammates

Requirements

• Bachelor’s degree in Computer Science, Information Technology, or equivalent practical experience
• 3+ years of experience working with cloud technologies, integrations, or software engineering
• Strong interest in AI and curiosity about how it can drive real-world impact
• Familiarity with large language models (LLMs) and AI platforms
• Experience configuring, integrating, or supporting technical tools and systems
• Working knowledge of cloud infrastructure and services
• Experience with scripting or programming (e.g., Python, JavaScript, Ruby)
• Familiarity with data formats and transformations (e.g., JSON, XML, CSV)
• Experience with AI, automation, or data platforms (e.g., OpenAI/Azure OpenAI/AWS Bedrock, Workato/Boomi/MuleSoft, Databricks/Snowflake) is a plus
• Strong problem-solving skills and attention to detail
• Ability to learn new tools and technologies quickly with the support of your team
• Clear communication skills and a collaborative mindset