The AI Product Operator will work alongside the Product team to build internal tools and AI systems that eliminate manual work across the organization, focusing on coding, architecting AI workflows, and deploying internal tools.
Compensation
$20 - $25 per hour
Responsibilities
Develop and deploy full-stack internal applications (web apps, dashboards, admin panels) for Operations, Data Research, Accounting, Sales, and Marketing teams
Design and build complex, multi-step AI workflows using LLM APIs (Anthropic, OpenAI), agent frameworks (LangChain, CrewAI, n8n AI agents), and RAG pipelines
Build AI systems for data extraction, document processing, classification, compliance research, payroll validation, and knowledge base Q&A
Integrate systems (HRIS, payroll engines, CRMs, databases, Slack, email, spreadsheets) to eliminate manual data transfer
Automate contractor onboarding, invoice processing, payment workflows, and compliance data collection across multiple countries
Design, build, evaluate, and operationalize generative AI and RAG pipelines, multi‑agent workflows, and LLM evaluation for a Data Science & Machine Learning AI Accelerator in Plano, Texas.
Compensation
Pay Rate: $45 per hour (C2C)
Responsibilities
Build retrieval‑augmented generation pipelines
Design secure multi‑agent workflows
Implement production‑quality Python
Create evaluation datasets and metrics
Ensure governance and traceability
Requirements
Bachelor's degree in Computer Science, Data Science, Machine Learning, or a related field
Research Analyst supporting Wharton Leadership Pillar research units, managing research projects, data analysis, survey design, and grant administration.
Compensation
$67,155.00 - $96,000.00 Annual Rate
Responsibilities
Provide research project and relationship management support for a portfolio of Leadership Pillar research units
Assist in the design and administration of surveys, collect and analyze large and complex data sets
Support the development and execution of sponsored and internally funded research projects
Coordinate research proposal and grant administration activities
Perform additional duties as assigned
Requirements
Master's degree required, PhD preferred
Nice to have: Background conducting research grounded in organizational behavior, emotions, culture, and leadership
Nice to have: Experience with teaching and/or online course development
Nice to have: Experience in mentoring or technical project management with students
Senior Software Engineer / AI Enterprise Systems Analyst leading AI-driven product development and integration at Zebra.
Compensation
$96,800.00 - $145,200.00 Annual
Responsibilities
Lead the design, architecture, and development of highly interactive, AI-first frontend systems and custom interfaces using modern frameworks backed by LLM capabilities
Architect and develop intelligent bots and reusable AI modules to ensure seamless alignment across complex databases and existing enterprise applications
Act as the technical anchor for an Agile Scrum team, leading architectural design sessions, establishing coding standards, and implementing AI-assisted developer workflows
Serve as the technical translator between engineering and business stakeholders, analyzing, evaluating, and communicating how modern AI tools can solve complex business problems
Provide confident, timely technical leadership during problem resolution and customer escalations
Requirements
Bachelor of Science degree in Computer Science, Software Engineering, or a related field; or equivalent of 3+ years of practical experience
Nice to have: Experience building autonomous agents or Agentic UI
Nice to have: Experience migrating or integrating legacy Java technologies (JSP, Servlets, Hibernate, JPA)
Nice to have: Experience with AWS and secure automated CI/CD pipelines (GitHub, Maven, SonarQube, Tenable)
Develop and maintain full stack software solutions for a federal government client, leveraging cloud, microservices, and data platforms in a hybrid Agile/DevOps environment.
Compensation
$145,000—$160,000 USD
Responsibilities
Employ software development techniques and methodologies for solving tough analytical challenges in support of national security
Use software development skills to automate manual analytical processes
Expand beyond specializations to include front-end user interfaces, back-end microservices, web services, cloud architectures, databases and other persistent data stores
Deploy developed IT solutions, user applications, databases, and other IT capabilities
Design and develop specialized user solutions, applications, and databases using a hybrid Agile approach within a DevOps environment
Requirements
Bachelor's degree or equivalent experience in a related field
Assist in developing AI/automation solutions for RMF processes within the cybersecurity authorization domain.
Compensation
Pay Range $48,100.00 - $86,950.00
Responsibilities
Develop and maintain automation scripts to streamline RMF processes and A&A workflows
Assist in the design, development, and testing of AI‑enabled tools for RMF analysis, security control assessment, and authorization package processing
Create and optimize Python, PowerShell, or JavaScript scripts for data extraction, transformation, and automation of compliance documentation tasks
Support the integration of AI/ML models into existing RMF and A&A tools and platforms
Collaborate with senior developers, security analysts, and authorization professionals to identify automation opportunities in the authorization lifecycle
AI Product Operator InternNewNiural · New York City, US
AI Engineer – DS&ML (GenAI / RAG / Agents)NewDhaka Technologies Limited Company · Plano, US
Go-To-Market EngineerAutomox · Remote, US
Full Stack DeveloperM9 Solutions · Washington, US