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Junior Azure Ai Engineer information
See salary details
$33.5K - $40.4K
3% of jobs
$40.4K - $47.3K
20% of jobs
$48.8K is the 25th percentile. Wages below this are outliers.
$47.3K - $54.2K
7% of jobs
$54.2K - $61.1K
6% of jobs
$61.1K - $68K
12% of jobs
The median wage is $68.5K / yr.
$68K - $75K
17% of jobs
$78.6K is the 75th percentile. Wages above this are outliers.
$75K - $81.9K
17% of jobs
$81.9K - $88.8K
7% of jobs
$88.8K - $95.7K
4% of jobs
$95.7K - $102.6K
3% of jobs
$102.6K - $109.5K
2% of jobs
$33.5K
$71.8K
$109.5K
How much do junior azure ai engineer jobs pay per year?
What is a Junior Azure AI Engineer?
What are the key skills and qualifications needed to thrive as a Junior Azure AI Engineer?
What are some common challenges Junior Azure AI Engineers face when working on real-world projects?
What is the difference between Junior Azure Ai Engineer vs Junior Data Scientist?
| Aspect | Junior Azure Ai Engineer | Junior Data Scientist |
|---|---|---|
| Required Credentials | Azure certifications, basic programming skills | Statistics, programming, data analysis certifications |
| Work Environment | Cloud platforms, AI development teams | Data analysis teams, research environments |
| Employer & Industry Usage | Tech companies, cloud service providers | Research institutions, analytics firms |
| Search & Comparison Intent | Understanding roles in AI development on Azure | Comparing data science entry-level roles |
The Junior Azure Ai Engineer focuses on developing AI solutions using Azure cloud services, while the Junior Data Scientist primarily analyzes data to extract insights. Both roles require programming skills and some certifications, but their work environments and industry applications differ. Understanding these distinctions helps job seekers identify the right career path in AI and data analytics.
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Job description
Location: Canada or Mexico (Remote)
Job Type: Contract
Experience: 5-10 years software development; 2-4 years hands-on Generative AI
Shift: 1:00 PM - 9:00 PM PST
Job Overview
We are seeking an experienced AI Engineer specialising in Generative AI to design, develop, and deploy enterprise-grade AI applications powered by Large Language Models (LLMs). The ideal candidate will have hands-on experience building Retrieval-Augmented Generation (RAG) solutions, document intelligence platforms, multimodal AI applications, and scalable AI APIs using Azure OpenAI and Python.
Key Responsibilities
- Design, develop, and deploy enterprise Generative AI applications using Azure OpenAI Services
- Build RAG pipelines using embeddings and vector databases
- Develop scalable REST APIs using FastAPI and Flask
- Integrate Vision LLMs for image, document, and multimodal understanding
- Build document processing pipelines using PyMuPDF for PDF extraction and parsing
- Implement semantic search using FAISS Vector Database
- Engineer prompts and optimise LLM responses for enterprise use cases
- Develop AI-powered chatbots, document Q&A, summarisation, and intelligent automation solutions
- Implement monitoring and evaluation frameworks using Opik or similar LLM observability tools
- Ensure AI applications follow security, governance, and responsible AI best practices
- Generative AI: LLMs, Prompt Engineering, RAG, Embeddings, Semantic Search, AI Agents, Function Calling, Model Evaluation
- Cloud & AI Platforms: Azure OpenAI Service, Azure AI Services, Azure Storage
- Programming: Python (Advanced), FastAPI, Flask, REST API Development, Async Programming
- AI Frameworks: LangChain, LlamaIndex, PyMuPDF, FAISS, Vision LLMs, OpenAI SDK
- Dev Tools: VS Code, PyCharm, Git, GitHub / Azure DevOps, Docker
- Observability: Opik, LLM Monitoring, Experiment Tracking, Performance Benchmarking
- LangGraph, AutoGen / CrewAI, Azure AI Search, Cosmos DB, PostgreSQL, Redis, Kubernetes, MLflow, Hugging Face, OCR (Azure Document Intelligence, Tesseract), CI/CD pipelines, MLOps, Transformers, Azure Cognitive Search, Azure Functions
Fully remote - open to candidates based in Canada or Mexico. Shift: 1:00 PM - 9:00 PM PST (please confirm availability before applying).
Engagement Details
Contract engagement. Duration to be confirmed upon selection.
About InfiCare Technologies
Sourced by ZipRecruiter
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
Dulles, VA, US
Year founded
2001