Junior AI & Data Engineer

Role Overview

Join a team dedicated to the design, development, and deployment of Data & AI solutions on Microsoft Azure. This position is tailored for engineers with foundational experience in Data Engineering, AI/Generative AI, Cloud Technologies, and Software Development who are eager to expand their expertise in enterprise-scale platforms. You will collaborate closely with senior engineers, architects, data scientists, and business stakeholders to build data pipelines, AI applications, and analytics solutions while gaining hands-on experience with modern Azure Data & AI services.

Key Responsibilities

• Assist in building and maintaining Data & AI platforms, applications, and services.
• Develop and support data ingestion pipelines, ETL/ELT processes, and analytics workflows.
• Implement AI and Generative AI solutions using Azure AI services, Azure OpenAI, Azure AI Foundry, AgentBricks, and Genie Spaces.
• Support the development of RAG-based applications, AI agents, and LLM-powered solutions.
• Contribute to data lake, lakehouse, and data warehouse implementations.
• Monitor data and AI workloads and assist in troubleshooting performance and operational issues.
• Follow best practices for security, governance, compliance, and Responsible AI.
• Participate in CI/CD, DevOps, and Infrastructure as Code (IaC) activities.
• Collaborate with cross-functional teams to understand business requirements and deliver technical solutions.
• Continuously learn and adopt emerging Data & AI technologies and engineering practices.

Required Qualifications

Technical Skills

• Proficiency in Python and working knowledge of SQL.
• Basic understanding of data engineering concepts and data processing pipelines.
• Familiarity with PySpark or distributed data processing frameworks.
• Experience developing REST APIs, scripts, or cloud-based applications.
• Exposure to one or more of the following Azure technologies:
  • Azure Databricks
  • Azure Data Factory
  • Azure AI Foundry
  • Azure OpenAI
  • Azure Storage (ADLS/Blob)
  • Azure Functions
  • Azure DevOps
• Familiarity with Git version control and software development best practices.

AI & Data

• Foundational knowledge of Machine Learning, AI, and Generative AI concepts.
• Understanding of Large Language Models (LLMs), embeddings, vector databases, and Retrieval-Augmented Generation (RAG).
• Familiarity with AI orchestration frameworks such as LangChain, Semantic Kernel, LangGraph, or similar technologies.
• Basic understanding of data modeling, analytics, and enterprise data platforms.
• Awareness of MLOps, AI governance, and Responsible AI principles.

DevOps & Security

• Understanding of CI/CD concepts and Git-based development workflows.
• Basic knowledge of cloud security, identity management, and API security.
• Familiarity with governance and compliance considerations in enterprise environments.

Soft Skills

• Strong analytical and problem-solving capabilities.
• Effective verbal and written communication skills.
• Ability to learn quickly and work collaboratively within a team environment.
• Strong attention to detail and commitment to quality.
• Ability to translate business requirements into technical tasks with guidance from senior team members.
• Eagerness to grow technical expertise and take ownership of assigned deliverables.