Carrier Recruitment 2026
Carrier
Experience0–2 Years
QualificationBachelor’s Degree
Key Responsibilities
- The selected candidate will work on enterprise AI and data engineering initiatives involving multiple AI platforms and cloud technologies.
- Key responsibilities include:
- Support the design, deployment, and maintenance of enterprise AI platform solutions.
- Work with platforms such as Microsoft Copilot, Copilot Studio, Google Gemini Enterprise, Google Workspace, and Vertex AI.
- Build and maintain enterprise connectors, plugins, and OpenAPI integrations.
- Integrate AI platforms with databases, ERP systems, and legacy applications.
- Support data grounding and retrieval solutions using Microsoft Graph and Google Cloud APIs.
- Assist in developing Retrieval-Augmented Generation (RAG) pipelines.
- Work with enterprise data and content sources such as SharePoint, OneDrive, and Google Drive.
Skills & Eligibility
- Associate – AI & Data Engineering:
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- 0–2 years of relevant experience in AI platforms, cloud engineering, automation, data platforms, or enterprise application development.
- Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language.
- Ability to build scripts, integrations, custom plugins, and applications using programming languages.
- Candidates should have a basic understanding of areas such as:
- Generative AI
- Large Language Models (LLMs)
- APIs and data integration
- Retrieval-Augmented Generation (RAG)
- Prompts and prompt engineering
- Vector databases
- AI model lifecycle concepts
- Data processing and ingestion
- Familiarity with one or more of the following enterprise technologies is useful:
- Microsoft Azure
- Azure AI Foundry
- Azure AI Services
- Google Cloud Platform
- Microsoft 365
- Microsoft Power Platform
- Candidates should have awareness of:
- Access control
- Data privacy
- Data security
- Responsible AI principles
- Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
- Basic hands-on experience with Python, TypeScript, JavaScript, or a similar programming language.
- Ability to build scripts, integrations, custom plugins, and applications using programming languages.
- Candidates should have a basic understanding of areas such as:
- Generative AI
- Large Language Models (LLMs)
- APIs and data integration
- Retrieval-Augmented Generation (RAG)
- Prompts and prompt engineering
- Vector databases
- AI model lifecycle concepts
- Data processing and ingestion
- The supplied job description specifically mentions the following technical qualifications:
- Enterprise AI: 0–2 years of hands-on experience with Microsoft Copilot Studio, Power Platform, Google Gemini Enterprise, or Vertex AI.
- Programming: Strong proficiency in Python or TypeScript for integrations, data ingestion scripts, and LLM API integrations.
- Cloud: Understanding of Azure AI Foundry, Azure AI Services, and Google Cloud Platform.
- Data: Experience or knowledge of graph data, embeddings, vector databases, and enterprise content management systems.
- DevOps: Experience with continuous integration and deployment pipelines for AI agents, prompt configurations, and platform automation.
- Candidates interested in this position can focus on the following areas:
- 1. Python: Learn Python fundamentals, API integration, JSON processing, scripting, and data handling.
- 2. Generative AI: Understand LLMs, prompts, embeddings, RAG, vector databases, and LLM APIs.
- 3. Cloud: Learn the fundamentals of Azure and Google Cloud, particularly AI-related services.
- 4. AI Agents: Understand agentic workflows, tool calling, orchestration, and multi-agent systems.
- 5. Data Engineering: Learn data ingestion, transformation, APIs, structured and unstructured data, and data retrieval.
- 6. DevOps: Understand Git, GitHub, CI/CD pipelines, monitoring, and deployment fundamentals.
- 7. Security: Learn basic concepts around authentication, authorization, OAuth, data privacy, and responsible AI.
Note: This job is posted on external sites. Joblit shares the listing for convenience and does not take responsibility for third-party content.
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