Remote Senior Azure Gen AI Engineer

Computer Task; United States; Remote; USD 107,000 - 114,000; Full time

Job summary

CTG is seeking a Senior Azure Gen AI Engineer for a remote, nine-month engagement with possible extension. You will design and deploy enterprise AI solutions on Azure, building production-ready AI apps and APIs using Python, Java, Node.js, and Spring Boot.

The role emphasizes NLP, RAG, embeddings, and scalable microservices in an enterprise setting. Requires 6+ years of software development with Azure, strong Azure ML/OpenAI, and hands-on experience with distributed architectures.

Qualifications

• 6+ years of software development with Python, Java, Node.js and Azure.
• Strong experience deploying AI/ML and Generative AI in Azure.
• Proven track record building scalable, containerized microservices.
• Hands-on NLP, semantic search, RAG, LLMs, embeddings, and AI app development.

Responsibilities

• Design, develop, and deploy enterprise AI and Generative AI on Microsoft Azure.
• Build production-ready AI apps using Azure AI Services and OpenAI interfaces.
• Develop APIs and cloud-native microservices in Python, Java, Node.js, Spring Boot.
• Collaborate with teams to accelerate AI use cases from concept to production.

Skills

Python

Java

Node.js

Java Spring Boot

Microsoft Azure

Azure AI services

Azure Machine Learning

Azure OpenAI

Azure Cognitive Services

LangChain

OpenAI API

Gemini

Hugging Face Transformers

Generative AI

machine learning

NLP

RAG

embeddings

transformers

language models

Microservices

containerization

REST APIs

cloud-native architecture

Apache Kafka

event-driven architecture

Education

Bachelor’s degree in Computer Science

Job description

CTG is seeking a Senior Azure Gen AI Engineer for a remote, nine-month engagement with possible extension. You will design and deploy enterprise AI solutions on Azure, building production-ready AI apps and APIs using Python, Java, Node.js, and Spring Boot.

The role emphasizes NLP, RAG, embeddings, and scalable microservices in an enterprise setting. Requires 6+ years of software development with Azure, strong Azure ML/OpenAI, and hands-on experience with distributed architectures.