ai &  automation engineer Jobs in Credit Digitalization Jobs In Cairo

ai &  automation engineer

ai engineer Jobs in Credit Digitalization Jobs In Cairo

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backend engineer

ai automation engineer

COA Holding Company

<div>
 
 Job Title
 
 
 
 
 AI &amp; Automation Engineer
 
 
 
 
 Location:
 
 Hybrid &ndash; Hyde Park Office
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 Experience Level:
 
 2+ Years
 
 
 
 Job Overview
 
 
 
 COA is seeking an experienced
 
 AI &amp; Automation Engineer
 
 with a strong background in marketing automation, CRM systems, and AI-driven workflows. This role will focus on scaling customer engagement, optimizing marketing and sales funnels, and improving operational efficiency through automation and intelligent systems.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and implement automation for marketing workflows, CRM pipelines, and lead management
 </li>
 <li>
 Integrate CRM systems with marketing platforms, including ad platforms, lead forms, booking systems, and funnels
 </li>
 <li>
 Automate email campaigns, WhatsApp follow-ups, notifications, and trigger-based workflows
 </li>
 <li>
 Build AI-powered solutions such as chatbots, customer segmentation models, and data enrichment processes
 </li>
 <li>
 Develop dashboards and reports to track leads, conversions, and campaign performance
 </li>
 <li>
 Analyze funnels, identify gaps, and implement data-driven optimization strategies
 </li>
 <li>
 Maintain stable automation environments using best practices in incident and change management
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 
 Required Qualifications:
 
 
 
 <ul>
 <li>
 2+ years of experience in automation, RPA, CRM engineering, or marketing technology
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Hands-on experience with CRM platforms such as HubSpot, Salesforce, Zoho, Odoo, or similar
 </li>
 <li>
 Experience integrating marketing platforms (Meta Ads, Google Ads, LinkedIn Lead Forms, landing pages)
 </li>
 <li>
 Strong knowledge of automation tools (Zapier, n8n, Make, UiPath, Power Automate)
 </li>
 <li>
 Proficiency in Python or JavaScript
 </li>
 <li>
 Solid understanding of marketing funnels, customer journeys, and CRM data flows
 
 
 </li>
 </ul>
 
 Other Skills
 
 
 
 <ul>
 <li>
 Strong analytical and troubleshooting abilities
 </li>
 <li>
 Fluent in English
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience building AI chatbots for lead qualification or customer support
 </li>
 <li>
 Basic cloud knowledge (AWS, Azure, or GCP)
 </li>
 <li>
 Experience integrating ERP, POS, or payment systems with CRM platforms
 
 
 </li>
 </ul>
 
 Why Join COA?
 
 
 
 <ul>
 <li>
 Work on high-impact AI and automation initiatives
 </li>
 <li>
 Collaborate closely with marketing, sales, and business teams
 </li>
 <li>
 Drive real business outcomes by reducing manual work
 </li>
 <li>
 Be part of a forward-thinking organization with a hybrid work environment
 </li>
 </ul>
</div>

AI &  Automation Engineer

<div>
 
 
 Company Overview:
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at
 
 www.dar.com
 
 .
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 Job Purpose:
 
 
 
 
 
 
 The role of the AI Engineer at Dar will be to design, develop, and deploy artificial intelligence models and systems that automate workflows of design engineers through data-driven insights, and enhance design and project delivery efficiency. They leverage machine learning and data analytics to improve decision-making and productivity across projects life.
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Develop, evaluate, and deploy RAG pipelines for the AEC industry
 </li>
 <li>
 Develop, evaluate and deploy agentic AI solutions to automate AEC workflows
 </li>
 <li>
 Develop, train, and optimize machine learning and deep learning models for AEC applications.
 </li>
 <li>
 Collect, preprocess, and analyze large BIM data from design, construction, and operational sources.
 </li>
 <li>
 Monitor and refine deployed AI systems for performance, accuracy, and scalability.
 </li>
 <li>
 Research and evaluate emerging AI technologies relevant to architecture, engineering, and construction.
 </li>
 <li>
 Collaborate effectively with data scientists, AI and Automation engineers, computational designers, and design engineers to integrate advanced digital solutions into the broader system architecture and the enterprise internal workflows
 </li>
 <li>
 Stay current with AI trends and suggest improvements to existing systems and workflows
 </li>
 <li>
 Support project planning, documentation, and presentations.
 </li>
 <li>
 Contribute to mentoring and knowledge sharing within the team.
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science, Engineering, or related field
 </li>
 <li>
 0-3 years professional experience with at least 3 of the following sectors: RAG, machine learning, deep learning, LLMs, NLP, reinforcement learning, and computer vision
 </li>
 <li>
 Proficiency in Python, C#/C/C++, SQL
 </li>
 <li>
 Experience building RAG pipelines, agentic RAG pipeline and/or agentic workflows
 </li>
 <li>
 Strong knowledge of AI frameworks such as TensorFlow or PyTorch, and ML libraries as scikit-learn and SciPy
 </li>
 <li>
 Experience working in relational and non-relational databases
 </li>
 <li>
 Experience building predictive analytics business solutions
 </li>
 <li>
 Excellent problem-solving skills and ability to work in a team environment
 </li>
 <li>
 Familiarity with AEC tools (Revit, Rhino, AutoCAD, Navisworks) is a plus.t
 </li>
 </ul>
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
 
 
</div>

AI Engineer

York Towers

<div>
 York Holding Group is a diversified investment and development group with a portfolio spanning real estate, technology, and financial innovation. The group operates through three specialized business verticals that complement each other to drive growth across the real estate ecosystem, from large-scale property development, to next-generation PropTech solutions, to a regulated FinTech platform transforming real estate investment through digital tokenization and fractional ownership. United by a shared vision of innovation, transparency, and excellence, York Holding Group continues to shape the future of living, investing, and digital real estate experiences across the region.
 
 
 
 About Dwelleo
 
 
 
 Dwelleo is a technology-driven real estate company leveraging automation and
 
 
 AI to scale modern real estate services. We are looking for an AI Product
 
 
 Owner to own the delivery of AI-powered products and workflows, working
 
 
 closely with engineering, data, and operations teams.
 
 
 This role is
 
 execution-focused and delivery-oriented
 
 ,
 
 closer to a Product
 
 
 
 
 Owner than a traditional Product Manager
 
 , with strong ownership of backlogs,
 
 
 priorities, and outcomes for AI-driven systems.
 
 
 
 About The Role
 
 
 
 As an AI Product Owner at
 
 Dwelleo
 
 , you will be responsible for t
 
 ranslating real
 
 
 
 
 operational and business problems into clear, actionable requirements for AI
 
 
 
 
 systems, including LLM-based and agentic solutions.
 
 
 
 You will
 
 own the backlog for AI initiatives, work day-to-day with engineers
 
 
 
 
 building AI agents and backend systems
 
 , and ensure that AI products are
 
 
 reliable, measurable, and aligned with business goals.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Own and prioritize the AI product backlog using Atlassian Jira.
 </li>
 <li>
 Write clear user stories, acceptance criteria, and functional requirements for AI-driven features.
 </li>
 <li>
 Work daily with AI engineers, backend engineers, and frontend developers.
 </li>
 <li>
 Lead backlog refinement, sprint planning, reviews, and retrospectives.
 </li>
 <li>
 Translate operational workflows into AI-augmented or automated solutions.
 </li>
 <li>
 Balance experimentation with delivery, reliability, and scalability.
 </li>
 <li>
 Define and track success metrics for AI features and workflows.
 </li>
 <li>
 Act as the main bridge between business stakeholders and AI/engineering teams.
 
 
 </li>
 </ul>
 
 AI &amp; Technical Scope
 
 
 
 
 You are not expected to build models, but you should be comfortable:
 
 
 
 <ul>
 <li>
 Understanding LLM-based systems, agentic workflows, and automation pipelines.
 </li>
 <li>
 Discussing how AI agents interact with APIs, tools, and data sources.
 </li>
 <li>
 Defining non-functional requirements such as reliability, latency, cost, and safety.
 </li>
 <li>
 Reviewing AI solution proposals and challenging assumptions with engineers.
 </li>
 <li>
 Communicating AI capabilities and limitations to non-technical stakeholders.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 4+ years of experience as a Product Manager or Product Owner in a tech environment.
 </li>
 <li>
 2+ years owning or delivering AI-powered or data-driven products.
 </li>
 <li>
 Hands-on experience managing backlogs in Jira (Atlassian stack).
 </li>
 <li>
 Direct experience working with AI engineers and backend/frontend developers.
 </li>
 <li>
 Track record of managing 200+ backlog items or tickets annually.
 </li>
 <li>
 Experience delivering in 2-week sprint cycles across multiple quarters.
 </li>
 <li>
 Experience supporting products used by 1,000+ users or powering core operational workflows.
 </li>
 <li>
 Strong communication skills across technical, business, and operational teams.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LLMs, automation platforms, or agentic AI systems.
 </li>
 <li>
 Background in proptech, marketplaces, or operational platforms.
 </li>
 <li>
 Experience working with distributed engineering teams.
 
 
 </li>
 </ul>
 
 Why Join Dwelleo?
 
 
 
 <ul>
 <li>
 Own AI products with real operational and business impact.
 </li>
 <li>
 Work closely with Agentic AI Engineers and platform teams.
 </li>
 <li>
 High ownership and visibility in a growing tech-enabled company.
 </li>
 <li>
 Help shape how AI is responsibly applied to real estate services.
 
 
 </li>
 </ul>
 
 Interested?
 
 
 
 If you enjoy owning delivery, working closely with engineers,
 
 
 and turning AI capabilities into reliable, real-world products, we&rsquo;d like to hear from you.
</div>

AI Product Owner

Inovola

<div>
 
 Job Overview
 
 
 
 We are looking for a talented
 
 AI Engineer
 
 with over three years of experience in Large Language Models (LLMs), Conversational AI, and Generative AI. The ideal candidate will have hands-on experience building intelligent systems with LangChain and LangGraph, with a focus on AI agents, retrieval-augmented generation (RAG), and autonomous reasoning pipelines.
 
 
 You'll collaborate with cross-functional teams to design, implement, and optimize AI-driven solutions that enhance business processes and user experiences.
 
 
 
 Roles &amp; Responsibilities
 
 
 
 <ul>
 <li>
 Design, fine-tune, and deploy LLMs for production-ready applications.
 </li>
 <li>
 Build AI agents and multi-agent systems using LangChain, LangGraph, and related frameworks.
 </li>
 <li>
 Develop and integrate Conversational AI pipelines that deliver seamless, human-like interactions.
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases and document retrievers.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Develop and maintain APIs and backend services using FastAPI and modern software engineering practices.
 </li>
 <li>
 Collaborate with data engineers and product teams to design scalable, reliable, and efficient AI pipelines.
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments
 </li>
 <li>
 Optimize model inference, latency, and scalability in cloud and containerized environments.
 </li>
 <li>
 Stay current with advancements in LLMs, Agentic AI, and Generative AI ecosystems.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Strong proficiency in Python and experience with LangChain and LangGraph for AI agent orchestration.
 </li>
 <li>
 Experience integrating LLMs via APIs such as OpenAI, Anthropic, or Google Vertex AI.
 </li>
 <li>
 Solid understanding of prompt engineering, RAG pipelines, and tool-using AI agents.
 </li>
 <li>
 Proficiency with PyTorch, Transformers (Hugging Face), and vector databases (e.g., Qdarnt, FAISS, Chroma).
 </li>
 <li>
 Experience designing multi-agent systems or workflow-based AI agents using LangGraph or similar frameworks.
 </li>
 <li>
 Knowledge of LLM evaluation, prompt optimization, and context management strategies.
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Familiarity with MLOps and continuous integration/deployment pipelines for AI systems.
 </li>
 <li>
 Understanding of generative AI models for text, image, or multimodal outputs.
 </li>
 <li>
 Familiar with traditional ML and computer vision.
 </li>
 <li>
 Strong problem-solving, collaboration, and communication skills.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
 </li>
 <li>
 3+ years of hands-on experience in AI/ML model development and deployment.
 </li>
 </ul>
</div>

Mid/Senior AI Developer

Kijamii

<div>
 
 
 ABOUT Kijamii:
 
 
 
 Kijamii is an independent, award-winning advertising agency driven by innovation and culture, with a rich legacy of over 14 years, operating regionally with offices in Dubai, Cairo and Riyadh.
 
 
 
 
 
 
 JOB PURPOSE:
 
 
 
 The Graphic Designer will play a key role in shaping and visually expressing Kijamii&rsquo;s brand across all internal and external communication touchpoints.
 
 
 This role is not client-facing, it focuses on strengthening Kijamii&rsquo;s own visual identity and storytelling through high-quality, engaging, and consistent design work.
 
 
 Working closely with the Director of Communications and the wider comms team, the Graphic Designer will translate strategic ideas into visually compelling materials for campaigns, social content, internal initiatives, and corporate communications. The role requires someone who combines strong design craft with brand sensitivity, creative curiosity, and a keen eye for detail.
 
 
 
 RESPONSIBILITIES AND TASKS:
 
 
 <ul>
 <li>
 Develop visual assets that represent Kijamii&rsquo;s identity for the agency&rsquo;s owned channels (social media, website, newsletters), press materials, and internal events.
 </li>
 <li>
 Interpret creative briefs and translate them into effective visuals that reflect Kijamii&rsquo;s tone of voice, culture, and positioning.
 </li>
 <li>
 Maintain brand consistency, ensuring every design is visually aligned with Kijamii&rsquo;s brand system and design standards.
 </li>
 <li>
 Stay updated on industry trends and best practices to ensure our creative output remains innovative and competitive.
 </li>
 <li>
 Leverage creative and AI-driven design tools to streamline workflows, enhance visual impact, and experiment with new creative possibilities.
 </li>
 <li>
 Perform any other related task as assigned by management.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 JOB SPECIFICATIONS:
 
 
 
 
 Education
 
 
 
 Bachelor's degree in Graphic Design, Visual Arts, Fine Arts, or related design field
 
 
 
 Experience
 
 
 
 1-3 years of proven experience in graphic design, ideally in branding, creative agencies, or in-house communications/design teams.
 
 
 
 
 
 Strong portfolio demonstrating creativity, branding sensibility, and storytelling ability across digital and print media.
 
 
 
 
 
 
 Skills
 
 
 <ul>
 <li>
 Advanced proficiency in
 
 Adobe Creative Suite
 
 (Photoshop, Illustrator, InDesign).
 </li>
 <li>
 Strong sense of layout, typography, color theory, and brand storytelling.
 </li>
 <li>
 Motion design and After Effects proficiency is a strong plus.
 </li>
 <li>
 Experience with AI-assisted design tools (e.g., generative design, image enhancement, layout automation).
 </li>
 <li>
 Exceptional attention to detail and design quality.
 </li>
 <li>
 Ability to manage multiple projects and meet deadlines in a fast-paced environment.
 </li>
 <li>
 Great communication, collaboration, and feedback skills.
 </li>
 <li>
 A mindset that blends creativity, curiosity, and problem-solving.
 </li>
 </ul>
 
 
 
 
 This position is open until
 
 January ,8 2026
 
 
 
 
 
 
 Placement is based on the candidate&rsquo;s experience and skills. Only candidates who make it to the shortlist will be contacted.
 
 
 
 
 
 &ldquo;
 
 We thank all individuals who have expressed interest in working at Kijamii
 
 .&rdquo;
 
</div>

Graphic Designer – Kijamii Brand

Finaira

<div>
 The Junior Software Engineer I will contribute to the development, testing, and deployment of high-quality software solutions under the guidance of senior team members. This role involves learning and applying software development principles and technologies within the context of AI and digital FinTech initiatives.
 
 
 
 The difference you will make:
 
 
 
 <ul>
 <li>
 Assist in designing, developing, and implementing software solutions
 </li>
 <li>
 Assist in API development for integrating ML models
 </li>
 <li>
 Write clean, efficient, and well-documented code under supervision
 </li>
 <li>
 Participate in code reviews to learn and ensure quality
 </li>
 <li>
 Learn and apply basic software design patterns and best practices
 </li>
 <li>
 Write and execute unit tests and assist with other testing
 </li>
 <li>
 Debug and resolve software defects with guidance
 </li>
 <li>
 Assist in deploying software applications to various environments
 </li>
 <li>
 Collaborate closely with the team and communicate technical concepts clearly
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Education: Bachelor's degree in computer science, Software Engineer 1ing, or a related field
 </li>
 <li>
 Experience: 0-2 years of experience, including internships or academic projects. Experience in the financial services industry is a plus
 </li>
 <li>
 Technical Skills:
 </li>
 <li>
 Basic proficiency in one or more programming languages (e.g., Java, Python, JavaScript)
 </li>
 <li>
 Basic knowledge of software development frameworks (e.g., Spring, Django, React)
 </li>
 <li>
 Basic experience with databases (SQL)
 </li>
 <li>
 Understanding basic software design principles
 </li>
 <li>
 Familiarity with version control systems (e.g., Git)
 </li>
 <li>
 Basic familiarity with cloud computing platforms (AWS, Azure, GCP) is a plus
 
 
 </li>
 </ul>
 
 Soft Skills:
 
 
 
 <ul>
 <li>
 Developing problem-solving and analytical skills
 </li>
 <li>
 Ability to work independently and as part of a team
 </li>
 <li>
 Developing communication and collaboration skills
 </li>
 <li>
 Attention to detail and a willingness to learn
 </li>
 <li>
 Customer-centric approach to understanding needs
 </li>
 <li>
 Team player
 </li>
 <li>
 Developing a disciplined work ethic
 </li>
 <li>
 Good command of English language, both verbal and written
 </li>
 <li>
 Self-learner with a positive attitude
 
 
 </li>
 </ul>
 Finaira is an Equal Opportunity Employer and is committed to providing a workplace free of discrimination and harassment. All employment decisions are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by the laws or regulations in the locations where we operate.
</div>

Software Engineer I

PIPECARE Group

<div>
 
 PIPECARE Group
 
 is looking for an experienced
 
 Pipeline Integrity Engineer
 
 to join our team .
 
 
 By providing technology and service focused solutions to the international arena of the oil and gas industry, the PipeCare Group of companies has been helping our customers ensure the integrity of their pipeline and facility assets for over 20 years.
 
 
 
 Industry/sector:
 
 Oil &amp; Gas / In Line Inspection services.
 
 
 
 Pipeline Integrity Engineer
 
 is responsible for performing comprehensive Fitness-for-Service assessment studies on client&rsquo;s pipelines using API 579 and other international standards.
 
 
 
 Key Responsibilities &amp; Authorities
 
 
 
 <ul>
 <li>
 Perform FFP evaluations of clients&rsquo; assets based on Level 1 &amp; 2 assessments of damage mechanisms.
 </li>
 <li>
 Performing RSTRENG calculations per clients&rsquo; requirements
 </li>
 <li>
 Perform Abaqus simulation models for corroded components
 </li>
 <li>
 Integrate inspection data into Abaqus simulation and perform analysis for degraded components
 </li>
 <li>
 Evaluate repair options and make recommendations to clients.
 
 
 </li>
 </ul>
 
 Team leadership and collaboration
 
 
 
 <ul>
 <li>
 Develop training material related to Pipeline Integrity
 </li>
 <li>
 Lead, mentor, and train a team of Integrity Engineers within the corporation, ensuring their skills are up-to-date and that they are consistently applying high-quality standards
 </li>
 <li>
 Act as the primary subject matter expert (SME) on Integrity Engineering during internal and external audits
 </li>
 <li>
 Liaise with clients, project managers, and integrity engineers to understand project requirements and provide data-driven insights to support decision-making
 </li>
 <li>
 Communicate complex findings and data-driven narratives to senior management and other non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Skills/Experience
 
 
 
 <ul>
 <li>
 Minimum of Bachelor&rsquo;s Degree in Mechanical Engineering
 </li>
 <li>
 8 -10 years&rsquo; experience in Pipeline integrity in the Oil and Gas industry
 </li>
 <li>
 Experience in API 579, ASME codes, Abaqus
 </li>
 <li>
 Strong professional command of written and spoken English in addition to communication skills is a must
 
 
 </li>
 </ul>
 
 Physical and Mental Requirements:
 
 
 
 <ul>
 <li>
 Lifting and Carrying: Ability to lift and carry up to 50 pounds
 </li>
 <li>
 Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells
 </li>
 <li>
 Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively
 </li>
 <li>
 Focus and Multitasking: Ability to maintain focus and multitask effectively
 </li>
 <li>
 Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
 </li>
 <li>
 Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary
 
 
 </li>
 </ul>
 
 About PIPECARE Group:
 
 
 
 PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.
 
 
 
 What we do:
 
 
 
 
 
 In-Line Inspection Services
 
 
 
 
 PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.
 
 
 Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:
 
 
 
 PIPECARE Group - YouTube
 
 
 
 
 SMART AI CALIPER - Inspection Experience Like Never Before
 
 
 
 
 
 Inspection Technologies
 
 
 
 
 Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.
 
 
 Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.
 
 
 Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.
 
 
 Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.
 
 
 Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).
 
 
 
 Specialized Tools and Technologies
 
 
 
 Combo Tools: Use multiple measurement systems in various combinations.
 
 
 Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.
 
 
 
 Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
 
 
 
 Powered by JazzHR
 
 
 dVG7canwCE
</div>

Pipeline Integrity Engineer

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