AI Engineer

Gornitzky GNY

Responsible for designing and developing AI solutions using advanced technologies. Role requires collaboration with teams and occasional travel to NJ and NY.

Posted 6/30/2026full-timeEdison • New Jersey • 🇺🇸 United StatesJuniorMid-Level💰 $69,100 - $124,400 per yearWebsite

Tech Stack

Tools & technologies

AzureCloudPython

About the role

Key responsibilities & impact

Design, develop, and deploy Agentic AI systems based on product requirements defined by the Business SMEs.
Implement agent workflows including: Planning, execution, validation, and retry logic
Tool and API invocation
Context and memory management
Build and maintain LLM-powered pipelines, including RAG-based architectures.
Integrate AI agents with enterprise systems using APIs, event-driven workflows, and automation services.
Develop and manage data ingestion and enrichment pipelines for structured and unstructured data.
Monitor AI system performance, accuracy, latency, and cost; implement optimizations and improvements.
Implement guardrails, safety mechanisms, and human-in-the-loop controls.
Support production deployment using Azure-native services and CI/CD pipelines.
Document system architecture, workflows, prompts, and operational runbooks.
Collaborate with product managers, architects, and data teams to iterate on AI solutions.
Participate in special projects and perform additional duties as required.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science, Engineering, or related field required.
1–3 years of experience in AI/ML engineering, data engineering, or software engineering required.
Hands-on experience with LLMs, GenAI, or intelligent automation systems required.
Experience building AI solutions on cloud platforms, preferably Microsoft Azure required.
Exposure to Agentic AI, workflow orchestration, or multi-agent systems preferred.
Strong proficiency in Python and AI/ML libraries.
Hands-on experience with: LLMs, prompt engineering, and RAG architectures
Vector databases and semantic search
Agent orchestration frameworks
Experience with Microsoft Azure, including: Azure OpenAI, Azure Functions, Logic Apps, AKS
Knowledge of API development and system integration.
Familiarity with CI/CD pipelines, Git-based version control, and Agile delivery.
Strong analytical, troubleshooting, and communication skills.
Azure AI Fundamentals or equivalent certification preferred.
Familiarity with data privacy, security, and compliance in AI development.
Exposure to prompt engineering and GenAI tools a plus.
Insurance domain exposure preferred.

Benefits

Comp & perks

Health insurance
401(k) matching
Annual discretionary bonus based on performance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonAI/ML LibrariesAgent Orchestration FrameworksAPI DevelopmentData IngestionRAG ArchitecturesVector DatabasesSemantic SearchCI/CD PipelinesGit Version Control

Soft Skills

Analytical SkillsTroubleshootingCommunication Skills

Certifications

Azure AI Fundamentals