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Junior AI & Data Engineer
Position Summary
We are seeking a motivated Junior AI & Data Engineer to support the design, development, and deployment of Data & AI solutions on Microsoft Azure. This role is ideal for engineers with foundational experience in Data Engineering, AI/Generative AI, Cloud Technologies, and Software Development who are looking to grow their expertise in enterprise-scale Data & AI platforms.
The Junior AI & Data Engineer will work 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.