AI Integration Engineer

Real Chemistry•Boston, MA

3d•Hybrid

About The Position

As an AI Integration Engineer, you will play a pivotal role in developing and implementing artificial intelligence solutions that will transform our internal systems and operations. You will work closely with others in the technology team and across various departments to identify areas where AI can improve efficiencies and drive data-driven decision-making. This is a technical hands-on role helping to configure and optimize a variety of technologies.

Requirements

Bachelor's degree in Computer Science, Information Technology, or a related field.
3+ years of proven experience as a technology professional in a cloud first and progressive IT environment.
Strong understanding of and a passion for AI.
Familiarity with the latest LLMs and AI products and their capabilities.
Proven experience in setting up and configuring AI tools.
Strong understanding of cloud-based infrastructure and services.
Ability to switch between different technologies and quickly master new ones.
Experience in scripting languages such as Python, Ruby, or JavaScript.
Familiarity with data formats such as JSON, XML, and CSV, and their transformations.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Passion for technology and continuous learning.
Ability to work in an Agile environment and handle multiple projects simultaneously.

Nice To Haves

Experience with OpenAI, Workato and Databricks is preferred.
Healthcare or Advertising industry experience a plus

Responsibilities

Set up and configure the next generation of AI software.
Design and build integrations for AI tooling to core systems and data.
In a fast-moving space you’ll be exposed to new tools on a regular basis.
Integrate AI tools with existing data and systems via API’s and automations.
Collaborate with various departments to understand their requirements and provide AI solutions.
Ensure seamless integration and functionality of AI tools within the cloud infrastructure.
Stay updated with the latest advancements in AI and related technologies.
Troubleshoot and resolve any issues related to AI tools and their integration.
Provide training and support to team members on the use of AI tools.