Full Stack AI Engineer - HRIS

PRI Global

$120K — $150K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 5+ years of experience in full stack software development
  • Proficiency in frontend frameworks like React, Angular, or Vue.js
  • Experience with backend technologies such as Node.js, Java, Python, etc.
  • Familiarity with AI/ML technologies and working with LLM APIs
  • Experience with SQL and NoSQL databases including MongoDB and PostgreSQL
  • Knowledge of cloud platforms like Azure, DevOps, and CI/CD processes

Responsibilities

  • Design and develop end-to-end applications across frontend, backend, and data layers
  • Build responsive, scalable user interfaces and APIs to support AI-powered features
  • Integrate LLM and machine learning models into applications
  • Develop workflows leveraging AI for summarization, classification, evaluation, and automation
  • Collaborate with data scientists to operationalize models in production
  • Develop and maintain APIs, microservices, and data pipelines
  • Architect scalable, secure solutions across cloud platforms

Benefits

  • Long-term project stability
  • Opportunity to work onsite with a collaborative team
  • Engagement in cutting-edge AI/ML applications
  • Exposure to advanced cloud technologies
  • Involvement in the entire software development life cycle (SDLC)
Full Job Description
Role: Full Stack AI Engineer
Location: Berkeley Heights, NJ (All 5 days onsite)

Duration: Long Term

Description:

We are seeking a highly skilled and innovative Full Stack AI Developer to design, develop, and deploy intelligent, scalable applications that leverage modern AI/ML capabilities. This role combines deep full stack engineering expertise with hands-on experience integrating AI models into enterprise-grade systems.

The ideal candidate thrives in a fast-paced environment, collaborates with cross-functional teams, and plays a key role in delivering AI-driven solutions that enhance business processes, decision-making, and user experiences.

Responsibility

Full Stack Development
• Design and develop end-to-end applications across frontend, backend, and data layers
• Build responsive, scalable user interfaces and APIs to support AI-powered features

I/ML Integration
• Integrate Large Language Models (LLMs) and machine learning models into applications
• Develop workflows that leverage AI for tasks such as summarization, classification, evaluation, and automation
• Collaborate with data scientists to operationalize models in production

Backend & Data Engineering
• Develop and maintain APIs, microservices, and data pipelines
• Design and manage data storage solutions (e.g., relational and NoSQL databases such as MongoDB)

System Architecture
• Architect scalable, secure solutions across cloud platforms (e.g., Azure, AWS)
• Ensure integration between UI, APIs, and AI services

I-Oriented Application Design
• Implement orchestration layers that manage AI prompts, workflows, and results
• Enable features such as requirement extraction, evaluation, and insights generation

Collaboration & SDLC
• Work with product managers, business stakeholders, and UX teams to gather requirements
• Participate in full SDLC including design, development, testing, and deployment
• Ensure code quality, security compliance, and best practices

Required Qualifications
• Bachelor's or Master's degree in Computer Science, Engineering, or related field
• 5+ years of experience in full stack software development
• Strong proficiency in:

o Frontend: React, Angular, or Vue.js

o Backend: Node.js, Java, Python, or similar

o API development and microservices architecture
• Experience with AI/ML technologies:

o Working with LLM APIs (e.g., OpenAI, Azure OpenAI, etc.)

o Implementing AI-driven workflows (e.g., summarization, scoring, classification)
• Experience with databases and data engineering:

o SQL and NoSQL (e.g., MongoDB, PostgreSQL)

o Data modeling and processing pipelines
• Familiarity with cloud platforms (Azure preferred), DevOps, and CI/CD

Preferred Qualifications
• Experience building enterprise AI applications (e.g., recruiting tools, evaluation systems, chatbots)
• Knowledge of prompt engineering and AI orchestration frameworks
• Experience with containerization (Docker, Kubernetes)
• Exposure to security, compliance, and governance in AI systems

Key Skills & Competencies
• Strong problem-solving and analytical skills
• Ability to translate business requirements into scalable technical solutions
• Excellent communication and stakeholder management skills
• Passion for innovation and emerging AI technologies

Similar Jobs

More Jobs at PRI Global

More Enterprise Technology Jobs

Find similar Full Stack AI Engineer - HRIS jobs: