Entry-Level AI Automation Systems Specialist (Union, NJ)

Department: Information Technology / Systems Development
Employment Type: Temp-to-Hire
Initial Evaluation Period: 90 Days

Highlevel Overview Video

Position Summary

Neuropath’s Technology Environment

Depending on project priorities and development stage, this position may support:

• Internal communications and employee services: Policies, resources, employee workflows, permissions, and service request processes.

• Human resources and workforce systems: Recruitment, onboarding, employee records, time and attendance, leave, benefits, and payroll-related workflows and integrations.

• Internship coordination and assessment systems: Internship applications, university coordination, onboarding, skills assessments, AI-assisted interview workflows, and milestone tracking.

• Brand management and marketing systems: Brand assets, content creation, campaign workflows, publishing processes, CRM connections, and reporting.

• Grant discovery and tracking systems: Grant opportunity discovery, API and RSS/Atom feed connections, data organization, matching, alerts, and application tracking.

• Email and communications systems: Email workflows, notifications, communication routing, and integrations with approved messaging and phone systems.

• Websites, portals, and dashboards: Public-facing and internal applications supporting Neuropath’s services and organizational growth.

The specialist will contribute to assigned projects with guidance from technology leadership and designated project owners.

Key Responsibilities

Application Development and Maintenance

• Assist with building and improving applications using Lovable and other approved AI-assisted or low-code/no-code development tools.
• Translate documented business requirements into forms, dashboards, portals, workflows, and application features.
• Make basic code changes, review AI-generated code, and troubleshoot application behavior.
• Support responsive layouts and verify that assigned features work across desktop, tablet, and mobile devices.
• Maintain organized project documentation and use version control for assigned development work.

Workflow Automation and Systems Integration

• Build, test, and maintain workflows using approved automation platforms and CRM systems.
• Connect applications through REST APIs, webhooks, JSON data, and approved authentication methods.
• Configure triggers, conditions, routing, notifications, scheduled tasks, and approval steps.
• Support data synchronization, field mapping, validation, duplicate prevention, and error handling.
• Assist with grant feeds and other structured data sources, including RSS and Atom.
• Monitor workflow failures and help implement appropriate retries, alerts, and recovery steps.
• Identify repetitive processes and recommend practical opportunities for automation.

AI Applications and Emerging Technologies

• Use approved AI tools to support research, document processing, content organization, development, and workflow automation.
• Assist with AI assistants and agents that retrieve information, use approved tools, and complete defined tasks.
• Develop and test reusable prompts, structured outputs, and task instructions.
• Support retrieval-augmented generation, or RAG, projects that help AI assistants answer questions using approved organizational content.
• Explore document extraction, classification, summarization, and multimodal workflows involving text, images, or audio.
• Research emerging technologies such as Model Context Protocol, or MCP, and evaluate their relevance to assigned projects.
• Include appropriate human review and escalation steps in AI-supported workflows.

Testing, Reliability, and Data Protection

• Test normal workflows, exceptions, access permissions, and failure scenarios before implementation.
• Evaluate AI outputs for accuracy, relevance, consistency, and appropriate handling of unsupported answers.
• Use synthetic or approved de-identified data for development and demonstrations.
• Follow organizational requirements for confidential information, access controls, credentials, and approved AI use.
• Keep API keys and other secrets out of public repositories and browser-exposed code.
• Document issues, proposed fixes, test results, and release changes.
• Help monitor system performance, AI usage, and operating costs.
• Maintain data accuracy and system organization within assigned applications.

Collaboration and Documentation

• Work with HR, operations, clinical leadership, marketing, and other departments to understand process needs.
• Map existing processes and identify practical opportunities for improvement.
• Create workflow diagrams, configuration guides, troubleshooting instructions, and user documentation.
• Provide clear progress updates and escalate technical issues appropriately.
• Assist with user training and adoption of new tools and features.

Required Qualifications

• Bachelor’s degree, associate degree, technical certification, relevant coursework, or equivalent practical training in Computer Science, Information Technology, Software Development, Data Analytics, AI, Automation, or a related field.
• At least one year of combined hands-on experience through employment, internships, coursework, freelance assignments, or substantial personal projects.
• Demonstrated experience building or contributing to an application, automation, integration, or other functional technology project.
• Practical experience with AI tools and at least one automation platform, CRM system, or low-code/no-code platform.
• Basic programming or scripting ability in JavaScript, TypeScript, Python, or a comparable language.
• Familiarity with HTML/CSS and basic web application concepts.
• Foundational understanding of APIs, webhooks, JSON, databases, variables, conditions, and application logic.
• Ability to troubleshoot systematically and explain how a project works.
• Strong problem-solving skills, attention to detail, organization, and written and verbal communication.
• Ability to learn new technologies and follow data protection requirements within assigned access permissions.

Technology Stack and Preferred Skills

Candidates are not expected to have experience with every technology listed. Strong fundamentals, demonstrated projects, and the ability to learn are essential.

Specific frameworks, vendors, and configurations may vary by project.

Emerging AI Skills — Preferred or Developmental

Exposure to the following is beneficial, but advanced proficiency is not required:

• Agentic workflows: AI systems that perform defined tasks through approved tools and integrations.

• RAG and semantic search: Connecting AI assistants to approved documents and organizational knowledge.

• Embeddings and vector databases: Supporting retrieval of relevant information by meaning and context.

• MCP: Connecting compatible AI applications with tools and data sources.

• Multimodal AI: Processing combinations of documents, text, images, and audio.

• Conversational and voice AI: Supporting chat assistants, intake routing, and communication workflows.

• AI evaluation and observability: Tracking output quality, failures, response time, and cost.

• AI security fundamentals: Recognizing prompt injection, inappropriate data exposure, and excessive tool permissions.

• Human review workflows: Routing sensitive, uncertain, or consequential actions to an authorized person.

Demonstrated Project Experience

Candidates should be prepared to present one or more completed or substantially functional projects, such as:

During the demonstration, candidates should be able to explain:

AI-assisted projects are welcome. Candidates must understand their implementation and demonstrate the ability to troubleshoot and modify it. Demonstrations must exclude confidential information, personal data, and exposed credentials.

Ideal Candidate

The ideal candidate enjoys building useful systems, investigating problems, and learning through practical work. They can move between business requirements, visual workflow tools, and basic code while maintaining clear documentation and attention to detail.

They are comfortable receiving feedback, asking focused questions, testing assumptions, and improving a solution until it works reliably. They understand that successful automation requires accuracy, maintainability, and an appropriate user experience.

The successful candidate is:

Initial 90-Day Performance Expectations

With appropriate onboarding and supervision, the successful candidate will be expected to:

Specific milestones will reflect assigned projects and organizational priorities.

Employment Structure

This is a temp-to-hire position with an initial 90-day employment and evaluation period. Following successful completion of this period, the position may transition to regular full-time employment based on demonstrated performance, organizational needs, position availability, and management approval. Completion of the initial period does not guarantee conversion.