TalentAlly
Artificial Intelligence Applications Developer Associate
TalentAlly, Ann Arbor, Michigan, us, 48113
Artificial Intelligence Applications Developer Associate
Job Summary: The Institute for Social Research (ISR) is the world's largest academic social science survey and research organization. The part‑time Artificial Intelligence Applications Developer Associate will design, build, and maintain scripts and integrations that connect ISR's internal systems with AI models and services such as UM‑GPT, OpenAI, Claude, and locally hosted research models. The position focuses on developing automation and data workflows using Python, JavaScript, SQL, and Bash while supporting internal research infrastructure and contributing to documentation, testing, and continuous improvement of ISR's AI development environment.
Benefits
Generous time off
Two‑for‑one matching retirement plan with immediate vesting
Comprehensive health insurance options
Life insurance
Long‑term disability coverage
Flexible spending accounts for healthcare and dependent care
Responsibilities
Develop and maintain Python, JavaScript, and Bash scripts for automating APIs with AI platforms (UM‑GPT, OpenAI, Claude, local models).
Build and support data workflows and internal tools that enhance ISR's AI research infrastructure.
Write and optimize SQL queries and interact with databases such as PostgreSQL and SQLite3, along with structured file types (CSV, JSON, Parquet).
Implement and maintain automation pipelines using GitHub workflows, agent frameworks, and MCP integrations.
Collaborate with ISR staff and IT personnel, providing secondary support to faculty‑led projects.
Create and maintain documentation including code repositories, environment setups, and workflow diagrams.
Perform unit testing, debugging, and version control using GitHub.
Participate in meetings, provide technical updates, and contribute to planning discussions for AI‑related projects.
Required Qualifications
Bachelor’s degree in Computer Science, Information Science, Data Science, or a related field, or equivalent combination of education and experience.
Proficiency in Python, JavaScript, SQL, and Bash for scripting, automation, and data manipulation.
Experience working with APIs, data pipelines, and workflow automation.
Familiarity with GitHub, version control practices, and collaborative development.
Ability to communicate technical concepts clearly and collaborate effectively with staff and faculty.
Desired Qualifications
Experience working with AI or machine‑learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
Familiarity with Model Context Protocol (MCP), agent frameworks, or retrieval‑augmented generation (RAG) workflows.
Experience developing integrations with services such as OpenAI, Claude, or UM‑GPT.
Knowledge of PostgreSQL, SQLite, and basic Linux system scripting.
Understanding of accessibility, security, and data‑privacy best practices in research environments.
Work Location On‑site at the University of Michigan offices in Ann Arbor. Flexible scheduling and remote opportunities are available within institute policies. Reasonable relocation arrangements are permissible.
Modes of Work Hybrid or mobile/remote work mode is at the discretion of the hiring department. Work agreements are reviewed annually and may change at any time.
Application Deadline Application deadline information not specified. Candidates should submit as soon as possible.
EEO Statement The University of Michigan is an equal employment opportunity employer.
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Benefits
Generous time off
Two‑for‑one matching retirement plan with immediate vesting
Comprehensive health insurance options
Life insurance
Long‑term disability coverage
Flexible spending accounts for healthcare and dependent care
Responsibilities
Develop and maintain Python, JavaScript, and Bash scripts for automating APIs with AI platforms (UM‑GPT, OpenAI, Claude, local models).
Build and support data workflows and internal tools that enhance ISR's AI research infrastructure.
Write and optimize SQL queries and interact with databases such as PostgreSQL and SQLite3, along with structured file types (CSV, JSON, Parquet).
Implement and maintain automation pipelines using GitHub workflows, agent frameworks, and MCP integrations.
Collaborate with ISR staff and IT personnel, providing secondary support to faculty‑led projects.
Create and maintain documentation including code repositories, environment setups, and workflow diagrams.
Perform unit testing, debugging, and version control using GitHub.
Participate in meetings, provide technical updates, and contribute to planning discussions for AI‑related projects.
Required Qualifications
Bachelor’s degree in Computer Science, Information Science, Data Science, or a related field, or equivalent combination of education and experience.
Proficiency in Python, JavaScript, SQL, and Bash for scripting, automation, and data manipulation.
Experience working with APIs, data pipelines, and workflow automation.
Familiarity with GitHub, version control practices, and collaborative development.
Ability to communicate technical concepts clearly and collaborate effectively with staff and faculty.
Desired Qualifications
Experience working with AI or machine‑learning frameworks such as PyTorch, TensorFlow, or Hugging Face.
Familiarity with Model Context Protocol (MCP), agent frameworks, or retrieval‑augmented generation (RAG) workflows.
Experience developing integrations with services such as OpenAI, Claude, or UM‑GPT.
Knowledge of PostgreSQL, SQLite, and basic Linux system scripting.
Understanding of accessibility, security, and data‑privacy best practices in research environments.
Work Location On‑site at the University of Michigan offices in Ann Arbor. Flexible scheduling and remote opportunities are available within institute policies. Reasonable relocation arrangements are permissible.
Modes of Work Hybrid or mobile/remote work mode is at the discretion of the hiring department. Work agreements are reviewed annually and may change at any time.
Application Deadline Application deadline information not specified. Candidates should submit as soon as possible.
EEO Statement The University of Michigan is an equal employment opportunity employer.
#J-18808-Ljbffr