AI Integration Developer

Location: Lemont

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Title:

AI Integration Developer

Location:

Hybrid at Lemont, IL (Between 20-40% of the time in Lemont, IL). Duration: 7 Months Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered

Description:

Olient, through the NST division, is seeking an AI Integration Developer contractor experienced with the development, enhancement, and maintenance of AI-assisted workflows supporting scientific data. Some common tasks that will be performed include working with scientific domain experts to understand the location and structure of their data, designing methods to extract/develop metadata, implementing a strong dataset taxonomy to ensure consistency, orchestrating the migration of datasets for computational analysis using approved LLMs, etc.

Scope Client is seeking an engagement with an experienced candidate with qualifications in the listed technologies to aid the NST division and CNM User Facility in work to automate/standardize the process of collecting and storing data for AI training and collaborative ventures. Objectives The overall goal of this assignment is to deliver a functional and impactful workflow to aid research scientists across the NST division with data management, including, but not limited to:
Identifying the location of data and the methodology to determine which data is to be managed through the workflow Filtering, sanitizing, normalizing and/or otherwise preparing the data for storage/sharing Packaging the data with AI-enabling metadata into an HDF5 format that can be used for long-term storage Creating a mechanism to migrate and inventory data for easy retrieval and/or sharing Building an interface/workflow that is accessible and easy to use by the research staff Develop documentation of solutions Construct all components, artifacts, etc.

using acceptable tools and techniques, good coding practices and accessible documentation Tasks and Delivery Three projects have been identified that require data manipulation, sanitization, orchestration and automation. During the first 2-3 weeks, engagements with the scientific domain experts will provide details on understanding their datasets, locations and desired outcomes. Once the details have been identified by the domain scientists, work will begin through an iterative development process to create a compatible workflow, using existing or new tools to achieve the desired outcomes.

All tools, software and related materials will require compliance with local cybersecurity and IT standards as well as documentation of operation. Development under revision control is required. Delivery to the domain scientists of an MVP within the first 90-days of the project is expected. The MVP need not address all of the key deliverable outcomes but must demonstrate the core of the workflow desired.

Further refinement, refactoring and feature addition is expected beyond the 90-day window. Once the domain scientists have accepted the solution, the candidate will be assigned a new set of domain experts and a new workflow to create. It is expected that each contractor will have no fewer than two active development tasks. Required Background, Knowledge,

Skills and Abilities

Knowledge/Skill/Ability: A strong working understanding of AI and LLMs Ability to develop efficient prompts and structured workflows with AI integration Familiarity with AI workflow orchestrators (e.x. Dify), relational databases (e.x. MySql/Maria

DB, Oracle, etc.) Working knowledge of relevant…