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infrastructure system engineer

ai engineer hybrid

Bayantech

<div>
 
 Job Description :
 
 
 
 <ul>
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 Design, develop, and deploy AI agents capable of performing autonomous tasks.
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 Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).
 </li>
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 Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability
 </li>
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 Implement communication between agents using agent orchestration frameworks.
 </li>
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 Automate workflows for sales, project management, accounting, and localization.
 </li>
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 Collaborate with backend and frontend teams to integrate AI services.
 </li>
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 Conduct prompt engineering and evaluation of model outputs.
 </li>
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 Ensure the scalability and performance of AI systems in production environments.
 
 
 
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 </ul>
 
 Job Requirement :
 
 
 
 <ul>
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 1+ years of experience in AI/ML engineering or applied NLP.
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 Strong experience with LLMs and frameworks like LangChain, AutoGen, or CrewAI.
 </li>
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 Solid Python skills; familiarity with FastAPI or Flask is a plus.
 </li>
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 Experience with vector databases (e.g., Pinecone, Weaviate, ChromaDB).
 </li>
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 Experience deploying models using Docker or cloud environments.
 </li>
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 Understanding of multi-agent systems and conversational workflows.
 </li>
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 Familiarity with version control (Git) and CI/CD practices.
 
 </li>
 </ul>
</div>

AI Engineer (Hybrid)

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
 </li>
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 Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
 </li>
 <li>
 Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
 </li>
 <li>
 Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
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 Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
 </li>
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 Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
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 Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
 </li>
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 Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 </ul>
</div>

Data Engineer-Data Platforms-Databricks

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical skills and attention to detail. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI Use Cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance. This involves designing, developing, and deploying scalable data pipelines and architectures that meet business requirements.
 </li>
 <li>
 Enhance Databricks Platform: Continuously enhance and improve the Databricks platform to support evolving client needs and emerging trends in Data and AI. This includes staying up-to-date with new features, best practices, and industry developments related to Databricks and cloud-based data engineering.
 
 
 </li>
 </ul>
 
 Preferred Education
 
 
 
 Bachelor's Degree
 
 
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Exposure to Databricks Platform: Experience with implementing data and AI use cases on the Databricks platform, including designing, developing, and deploying scalable data pipelines and architectures.
 </li>
 <li>
 Data Engineering Skills: Experience working with data engineering principles, practices, and tools, particularly in cloud-based environments.
 </li>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI solutions, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Skills: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Computing Knowledge: Exposure to cloud computing concepts, technologies, and platforms, including those related to data engineering and Databricks, is beneficial for this role.
 </li>
 <li>
 Data Engineering Principles: Familiarity with data engineering principles and practices, particularly in cloud-based environments, is advantageous for implementing data and AI use cases on the Databricks platform.
 </li>
 <li>
 Technical Proficiency: Proficiency in technical skills relevant to Databricks, data engineering, and cloud computing is desirable for this position.
 </li>
 </ul>
</div>

Data Engineer Data Platforms Databricks

Appgain

We are looking for a focused and highly skilled Part-Time Data Engineer to join our team. You will be responsible for designing, building, and maintaining our data pipelines and infrastructure. Since this is a part-time role we are looking for a professional who can work independently, prioritize high-impact tasks, and ensure our data is clean, accessible, and reliable for our software products and business analytics. Key Responsibilities1. Data Architecture &amp; ETL<ul><li>Design and implement robust ETL/ELT pipelines to move data from various sources (APIs, Databases, Logs) into our data warehouse.</li><li>Optimize data flow and collection for cross-functional teams (Product, Engineering, Sales).</li><li>Ensure data integrity and high availability for our software applications.</li></ul>2. Infrastructure &amp; Maintenance <ul><li>Monitor and tune database performance and query efficiency.</li><li>Implement data security and privacy best practices (GDPR/Compliance).</li><li>Maintain and scale our data stack (e.g., PostgreSQL, BigQuery, Snowflake, or similar).</li></ul>3. Tooling &amp; Collaboration <ul><li>Build internal tools for data monitoring and automated reporting.</li><li>Work closely with the Project Coordinator and Developers to ensure data requirements are met for new feature launches.</li></ul>Required Technical Stack<ul><li>Languages: Mastery of SQL and Python (or Scala/Java).</li><li>Data Tools: Experience with orchestration tools like Airflow, Prefect, or dbt.</li><li>Cloud: Proficiency in AWS, Azure, or GCP (Google Cloud Platform).</li><li>Big Data: Familiarity with Spark, Kafka, or NoSQL databases is a plus.</li></ul>Required Experience <ul><li>Experience: 3&ndash;5 years of professional experience in Data Engineering.</li><li>Autonomy: Proven ability to manage your own time and deliver projects within a part-time schedule.</li><li>Communication: Crystal-clear English communication (essential for asynchronous work and documentation).</li></ul>Application Question(s):<ul><li>This role requires coming to the office for meetings when needed</li></ul>Do you mind that ?Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>Data Engineer: 4 years (Preferred)</li></ul>Work Location: Hybrid remote in Giza

SR .Data Engineer (Part-Time)

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 <ul>
 <li>
 Assist senior consultants and business analysts in collecting and documenting business requirements related to procurement, inventory management, and materials planning.
 </li>
 <li>
 Support in preparing functional specifications for reports, interfaces, conversions, enhancements, and forms (WRICEF objects).
 </li>
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 Participate in workshops with business users to understand operational needs.
 </li>
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 Perform basic configuration activities in SAP MM (Material Management) modules under the guidance of senior consultants.
 </li>
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 Prepare and execute unit testing and integration testing scenarios for MM processes.
 </li>
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 Record test results, identify defects, and assist in troubleshooting issues.
 </li>
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 Support User Acceptance Testing (UAT) and ensure that business requirements are met.
 </li>
 <li>
 Provide first-level support for SAP MM users, including issue resolution and ticket handling.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 Basic Knowledge of SAP MM and Procurement &amp; Inventory Processes
 
 
 
 Preferred Technical And Professional Experience
 
 
 
 No preferred qualifications specified
</div>

Package Consultant-SAP HANA SCM MM Internship

Advansys ME

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, including oil and gas, real estate, specialized engineering, financial investment, food and manufacturing.
 
We are seeking a motivated Junior Automation QA Engineer to support the development and
 
maintenance of automated test scripts and frameworks. The candidate will work closely with senior
 
QA and development teams to ensure software quality and improve regression efficiency through
 
automation. This role is ideal for candidates with foundational programming knowledge and a
 
strong interest in test automation and quality engineering.
 
Requirements
 
QUALIFICATIONS
 
Bachelor’s degree in computer science, Information Technology, Engineering, or a related field
 Relevant certifications in software testing (e.g., ISTQB, CSTE) are a plus.
 
EXPERIENCE
 
1–3 years of experience in QA or Automation Testing.
 
Technical Skills
 
Basic knowledge of programming (Java, Python, or C#).
 Understanding of Selenium or similar automation tools.
 Basic knowledge of API testing.
 Familiarity with SDLC and Agile methodology.
 Understanding of version control systems (Git preferred)..
 
Soft Skills
 
Strong willingness to learn and grow.
 Good analytical and problem-solving skills.
 Attention to detail.
 Good communication skills.
 Team collaboration mindset.
 
KPIs for Senior Automation QA
 
Automation script completion rate.
 Test execution accuracy.
 Defect reporting quality.
 Automation coverage growth contribution
 Learning & certification progress.
 Benefits
 Hybrid working model
 Social and medical insurance
 Transportation

Junior Automation Tester

Advansys

<div>Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation &amp; Strategic Outsourcing. 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, including oil and gas, real estate, specialized engineering, financial investment, food and manufacturing.
We are seeking a motivated Junior Automation QA Engineer to support the development and
maintenance of automated test scripts and frameworks. The candidate will work closely with senior
QA and development teams to ensure software quality and improve regression efficiency through
automation. This role is ideal for candidates with foundational programming knowledge and a
strong interest in test automation and quality engineering. 
Requirements 
QUALIFICATIONS<ul><li>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, or a related field</li><li>
Relevant certifications in software testing (e.g., ISTQB, CSTE) are a plus.</li></ul> 
EXPERIENCE
<ul><li>1&ndash;3 years of experience in QA or Automation Testing.</li></ul>
Technical Skills<ul><li>
Basic knowledge of programming (Java, Python, or C#).</li><li>
Understanding of Selenium or similar automation tools.</li><li>
Basic knowledge of API testing.</li><li>
Familiarity with SDLC and Agile methodology.</li><li>
Understanding of version control systems (Git preferred)..</li></ul>
Soft Skills<ul><li>
Strong willingness to learn and grow.</li><li>
Good analytical and problem-solving skills.</li><li>
Attention to detail.</li><li>
Good communication skills.</li><li>
Team collaboration mindset.</li></ul>
KPIs for Senior Automation QA<ul><li>
Automation script completion rate.</li><li>
Test execution accuracy.</li><li>
Defect reporting quality.</li><li>
Automation coverage growth contribution</li><li>
Learning &amp; certification progress.</li></ul> 

Benefits 
<ul>
<li>Hybrid working model</li>
<li>Social and medical insurance</li>
<li>Transportation</li></ul></div>

Explore 56+ Ai engineer hybrid in Giza this April. Find roles across top companies and apply now to boost your career.

56 ai engineer hybrid jobs In Giza

AI Engineer (Hybrid)

Data Engineer-Data Platforms-Databricks

Data Engineer Data Platforms Databricks

SR .Data Engineer (Part-Time)

Package Consultant-SAP HANA SCM MM Internship

Junior Automation Tester

Junior Automation Tester