Specialist, Data Engineer (Hybrid - Rahway, NJ)
About The Position
We are seeking an experienced AI/ML Engineer with strong expertise in prompt engineering and practical experience applying large language models (LLMs) in production. You will design and refine prompts and agent workflows, evaluate and experiment with different LLMs and model architectures, and integrate AI outputs into applications to improve usability. Responsibilities include developing data pipelines (including API ingestion and AWS Redshift), building and deploying inference stacks and managed services, and implementing API-driven automation and integrations. You will also establish model evaluation practices using human-eval frameworks and both code and NLP metrics, and apply RAG, agentic AI, and MCP concepts to deliver scalable, reliable AI solutions. Experience with Power BI and Power Automate for data visualization and workflow automation is required.
Requirements
- Minimum of 3 years of relevant experience.
- Experience with Prompt Engineering.
- Understanding of the RAG, Agentic AI and MCP concepts.
- Experience with API driven automation and integration.
- Experience with Python programming.
- High School Diploma or GED required.
- Adaptability
- Analytical Thinking
- Applied Engineering
- Cloud Automation
- Computer Engineering
- Cyber Threat Hunting
- Cyber Threat Intelligence
- Data Engineering
- Data Loss Prevention (DLP)
- Data Pipelines
- Data Warehouse Development
- Detail-Oriented
- Digital Forensics
- Incident Response Management
- Insider Threat Mitigation
- Language Models
- Large Language Models (LLMs)
- Log Analysis
- Malware Analysis
- Managed Services
- Microsoft Power Business Intelligence (BI)
- Pipeline Development
- Project Engineering
- Prompt Engineering
Responsibilities
- design and refine prompts and agent workflows
- evaluate and experiment with different LLMs and model architectures
- integrate AI outputs into applications to improve usability
- developing data pipelines (including API ingestion and AWS Redshift)
- building and deploying inference stacks and managed services
- implementing API-driven automation and integrations
- establish model evaluation practices using human-eval frameworks and both code and NLP metrics
- apply RAG, agentic AI, and MCP concepts to deliver scalable, reliable AI solutions
Benefits
- medical
- dental
- vision healthcare and other insurance benefits (for employee and family)
- retirement benefits, including 401(k)
- paid holidays
- vacation
- compassionate and sick days
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
High school or GED
Number of Employees
5,001-10,000 employees
