AI Engineer

ACE CLOUD DATA SOLUTIONS, INC
United States
30 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$104,000.0 - $114,400.0
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Application Integration Architecture Microsoft Azure Cloud Computing Continuous Integration Microsoft Software SQL Azure Open Source Technology Azure DevOps Pipelines Search Technologies
+17 more
Software Engineering Enterprise Data Management Microsoft Power Automate Azure Data Factory Retrieval-Augmented Generation System Availability Large Language Models Multi-Agent Systems Prompt Engineering Generative AI Backend Git Cosmos DB Asynchronous Programming Restful APIs Serverless Computing Microservices

Job description

We are looking for a remote AI Engineer to design, build, and deploy production-ready AI capabilities within our software ecosystem. In this role, you will bridge the gap between data science and software engineering, leveraging cutting-edge Generative AI models alongside the Microsoft Technology Stack.

As a remote team member, you will have a high degree of autonomy but will collaborate closely with product managers and backend engineers via Microsoft Teams and Azure DevOps to bring intelligent features to life., * AI Integration: Design and implement AI/ML features using Azure OpenAI, semantic search, and custom large language model (LLM) orchestrations.

  • Backend Engineering: Develop and maintain scalable APIs and microservices using C# and .NET Core.
  • Data & Orchestration: Build orchestration layers using frameworks like Semantic Kernel or LangChain to connect AI models with enterprise data stored in Azure SQL, Cosmos DB, or Azure AI Search.
  • CI/CD & Cloud Ops: Deploy, monitor, and optimize AI workloads on Azure using Azure DevOps pipelines, ensuring high availability and cost efficiency.
  • Security & Compliance: Implement responsible AI practices, ensuring data privacy, prompt security (preventing injection), and compliance within the Azure framework., * Experience fine-tuning open-source models or working with local LLMs.
  • Microsoft Certifications such as Azure AI Engineer Associate (AI-102) or Azure Data Scientist Associate (DP-100).
  • Experience building custom plugins for Microsoft Copilot.

Requirements

Required Skills & Qualifications: AI & Machine Learning

  • Proven experience working with Generative AI APIs (OpenAI/Azure OpenAI, Anthropic, etc.).
  • Deep understanding of Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and vector databases.
  • Experience with AI orchestration frameworks (highly prefer Microsoft Semantic Kernel or LangChain).

Microsoft Technology Stack

  • Strong proficiency in C# and .NET Core (.NET 8+ preferred) for backend development.
  • Hands-on experience with Azure Cloud Services, specifically Azure OpenAI Service, Azure AI Search, Azure Functions, and App Services.
  • Familiarity with Azure data solutions (Azure SQL, Cosmos DB).
  • Experience with Azure DevOps for Git version control and CI/CD pipelines.

Remote Work & Soft Skills

  • Strong asynchronous communication skills (clear documentation, precise ticketing).
  • Proactive problem-solver who thrives with minimal daily supervision.
  • Comfortable working across multiple time zones., * Are you an independent visa holder?
  • Experience in Microsoft Copilot Studio?
  • Experience in Azure AI Foundry?

Benefits & conditions

$50 - $55 an hour - Full-time

Apply for this position

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