AI Engineer

Jobtailor; Edison (NJ); On-site; USD 90,000 - 135,000; Full time

Job summary

Jobtailor is seeking an AI/ML engineer to design, develop, and deploy Agentic AI systems in a New Jersey-based environment. You will implement agent workflows, integrate tools via APIs, and build data pipelines for structured and unstructured data.

You will work with Azure OpenAI, Functions, and Logic Apps, while ensuring security, scalability, and cost efficiency. Collaboration across product, architecture, and data teams is essential.

Qualifications

• Bachelor’s degree in CS, engineering, or related field.
• 1–3 years in AI/ML engineering, data engineering, or software engineering.
• Hands-on with LLMs, GenAI, or intelligent automation systems.
• Experience building AI solutions on Azure.
• Strong Python skills and AI/ML libraries.
• Familiarity with API development and system integration.
• Experience with Azure OpenAI, Functions, Logic Apps, AKS.
• CI/CD, Git-based version control, and Agile delivery.
• Familiarity with data privacy, security, and compliance in AI development.
• Insurance domain exposure preferred.

Responsibilities

• Design, develop, and deploy Agentic AI systems based on product requirements.
• 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 and event-driven workflows.
• Develop data ingestion and enrichment pipelines for data.
• Monitor AI system performance, latency, and cost; optimize accordingly.
• Implement guardrails and human-in-the-loop controls.
• Support deployment using Azure-native services and CI/CD.
• Document architecture, prompts, and runbooks.
• Collaborate with product managers, architects, and data teams.
• Participate in special projects and perform additional duties.

Skills

Python

LLMs/GenAI

AI/ML engineering

Data pipelines

Communication

Analytical thinking

Agile delivery

Education

Bachelor’s degree in CS/Engineering

Tools

Azure OpenAI

Azure Functions

Logic Apps

AKS

Git (version control)

CI/CD

Vector databases

Semantic search

Agent orchestration frameworks

Job description

Responsibilities

• 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

• 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.