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SeniorFull-timeTypeScriptReactAzureDockerData ScienceCI/CDGitAI
Salary Range
$59,670 - $80,730 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
We are seeking an AI Engineer to design, build, and operate internal AI-powered solutions that significantly improve productivity across IFS. This is an end-to-end engineering role responsible for delivering user-facing AI applications, backend AI services, enterprise copilots, and workflow automation.
Key Responsibilities
- →Translate business requirements into AI-driven technical designs and implementation plans.
- →Design and implement applications that leverage large language models, embeddings, and retrieval-augmented generation.
- →Engineer prompt strategies, grounding mechanisms, safety controls, and evaluation methods.
- →Integrate AI capabilities into enterprise systems and workflows.
- →Design and develop modern, responsive frontend applications using React and TypeScript.
- →Build internal AI portals, chat interfaces, dashboards, admin panels, and configuration screens.
- →Implement advanced AI UX patterns including streaming responses, citations, feedback capture, and role-based controls.
- →Develop backend services and APIs using Azure services or other appropriate cloud platforms.
- →Integrate with Azure OpenAI, Azure AI Search including vector search, or equivalent AI services.
- →Design secure RESTful APIs exposing AI capabilities to internal consumers.
- →Design and build enterprise copilots using Copilot Studio.
- →Integrate copilots with Microsoft 365 services such as Teams and SharePoint.
- →Build workflow automations using Power Automate, Azure Logic Apps, Power Platform, or equivalent tools.
- →Design AI-driven process automation for internal productivity use cases.
- →Implement CI/CD pipelines using Azure DevOps, GitHub Actions, or equivalent tooling.
- →Containerize applications using Docker when appropriate.
- →Apply GenAI operational practices including prompt versioning, evaluation, monitoring, and incident management.
Requirements
- ✓Experience with AI engineering and building production-grade AI applications.
- ✓Proficiency in React and TypeScript for frontend development.
- ✓Knowledge of Azure services and cloud platforms.
- ✓Familiarity with Azure OpenAI, Azure AI Search, and other AI services.
- ✓Understanding of RESTful API design and implementation.
- ✓Experience with Microsoft 365 services and Copilot Studio.
- ✓Skills in workflow automation tools like Power Automate and Azure Logic Apps.
- ✓Knowledge of CI/CD pipelines and containerization with Docker.
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