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Agentic AI Engineer

Remote in New York, NY, US • Posted 2 hours ago • Updated 2 minutes ago

Contract W2

On-site

$DOE

QTech US Inc

Fitment

Dice Job Match Score™

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Job Details

Skills

Java
CI/CD
DevOps
Python
LangChain
Microservices
Azure OpenAI
Docker
Kubernetes
Prompt Engineering
Restful APIs
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Event-Driven Architecture
Multi-Agent Systems
AutoGen
Semantic Kernel
Azure Cloud
Azure AI Foundry
Agent SDKs
Enterprise AI Integration

Summary

Job Title: Agentic AI Engineer
Location: New York City, NY, Boston, MA, Hartford, CT, Princeton, NJ, Philadelphia, PA

Contact: 12+ Months

Looking for W2 candidates. No C2C

Job Summary:

We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy intelligent AI agents using Azure AI Foundry and modern AI agent frameworks. The ideal candidate will have strong software engineering experience, hands-on expertise in LLM-powered applications, and a proven ability to build scalable, production-grade multi-agent systems in cloud-native environments.

Key Responsibilities:

Design, develop, and deploy intelligent AI agents using Azure AI Foundry and Azure OpenAI.

Build scalable, production-grade multi-agent systems for enterprise automation.

Develop AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering techniques.

Implement agent orchestration using frameworks such as AutoGen, Semantic Kernel, LangChain, or similar Agent SDKs.

Develop RESTful APIs, microservices, and event-driven applications to support AI solutions.

Integrate AI agents with enterprise systems, databases, APIs, and SaaS platforms.

Deploy and manage AI workloads in cloud-native environments using Azure services.

Collaborate with cross-functional teams to design, develop, test, and optimize AI solutions.

Implement CI/CD pipelines and DevOps best practices for AI application deployment.

Containerize applications using Docker and deploy them on Kubernetes-based environments.

Monitor, troubleshoot, and optimize AI agent performance in production.

Required Qualifications:

5+ years of experience in software engineering with strong cloud-native application development experience.

Strong programming skills in Python (preferred) or Java.

Hands-on experience with Azure AI Foundry and Azure OpenAI.

Experience developing AI agents using frameworks such as:

AutoGen

Semantic Kernel

LangChain

Agent SDKs

Technical Skills:

Programming Languages

Python

Java

AI & Machine Learning

Azure AI Foundry

Azure OpenAI

Large Language Models (LLMs)

Prompt Engineering

Retrieval-Augmented Generation (RAG)

Multi-Agent Systems

Best Regards,
Teresa Rose

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91124817
Position Id: 2026-377
Posted 2 hours ago

Company Info

About QTech US Inc

QTech is a fast-growing, global, innovative IT Services firm offering end-to-end solutions for all of your IT challenges. We are specialized in Software Development, Business Analysis, Agile Transformation, Data Analytics, Business Intelligence, and Digital Transformation. We provide managed Services to our big and small clients through IT Consulting, Custom Software Development, Data Analytics, and IT Staffing. We provide custom solutions for our clients designed around their specific needs. No two clients are the same to us. Our focus is on providing custom solutions to complex IT business problems with a hands-on approach to create environments and systems that meet our customer's industry-specific needs. We strive to truly partner with our clients by listening first and working through the issues together to allow them to achieve the maximum benefit from their data and technology. We have the best resources and top-notch talent who can optimize and deliver cost-effective solutions to your issues.

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