- Experience
- 3+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 week ago
- Work mode
- In office
- Education
- Bachelor’s degree in Computer Science, Engineering or Data Science
- Resume
- Required to apply
Where you'll work
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Job description
About Inception42
Inception42, part of the G42 group, leads the regional innovation in AI-driven domain-specific and cross-industry products, underpinned by comprehensive research and development. Serving as the intelligence core within the G42 ecosystem, it transforms data and computing infrastructure into practical AI applications. Inception42 is also dedicated to generating positive societal impacts.
Role Overview
We seek a Data Engineer skilled in constructing scalable data infrastructures and creating intelligent AI solutions leveraging Azure Agent Foundry, OpenAI services, LangChain, Databricks, and contemporary cloud technologies. The candidate will combine solid data engineering expertise with practical experience building and deploying AI solutions within enterprise environments.
Key Responsibilities
- Design, develop, and deploy AI agents using Azure Agent Foundry, OpenAI, LangChain, and N8N.
- Create Retrieval-Augmented Generation (RAG) pipelines, craft embeddings, integrate vector databases, and implement knowledge graph technologies.
- Architect and sustain scalable data pipelines and ETL/ELT processes aligned with data architecture best practices.
- Develop and manage APIs and data services that enhance AI and analytics workloads.
- Optimize machine learning workflows within Azure Databricks and integrate them with Azure Fabric.
- Maintain high data quality, ensure system reliability, and uphold data governance and compliance standards.
- Collaborate with data scientists, machine learning engineers, and product teams to deliver intelligent data-driven features.
- Support MLOps and DevOps practices including CI/CD pipelines, model lifecycle supervision, and container orchestration.
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related discipline.
- Minimum of 3 years in data engineering, AI engineering, or machine learning engineering roles.
- Proven experience delivering scalable AI and data solutions, preferably on Microsoft Azure cloud platforms.
- Proficient in Python, SQL, PySpark, and machine learning or AI frameworks.
- Hands-on familiarity with Azure Agent Foundry, OpenAI APIs, LLMOps, RAG systems, and vector database technologies.
- Experience with Azure Databricks, Azure cloud services, and large data platforms.
- Knowledge of big data ecosystems including Spark, Hadoop, and Flink, alongside modern relational and NoSQL database systems.
- Experience with RESTful and GraphQL APIs, messaging systems like Kafka or RabbitMQ, and container technologies such as Docker and Kubernetes.
- Sound understanding of data modeling, ETL best practices, and data quality assurance.
- Strong analytical thinking, communication, and teamwork capabilities.
Desired Attributes
We value candidates who thrive on performance excellence, have an inquisitive mindset, and can navigate ambiguity with adaptability. A proactive approach and passion for pioneering AI innovations and forming strong stakeholder relationships are essential for success within our dynamic environment.
Work Environment
- Inclusive, diverse culture with a global outlook encouraging personal growth and breakthrough technological advancements.
- Abundant career development opportunities through structured learning paths and engagement in cutting-edge projects.
- Competitive salary structure supplemented with benefits encompassing healthcare, educational assistance, and comprehensive leave policies.
Minimum education
Bachelor's Degree