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digital.enterprises

<div>
 AI Engineer Build the Real-Time Intelligence of ADAPT
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 About The Role
 
 
 
 Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 
 
 
 </li>
 </ul>
 System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 
 
 
 </li>
 </ul>
 AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 
 
 
 </li>
 </ul>
 Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 
 
 
 </li>
 </ul>
 Technical Expertise
 
 
 LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 
 
 
 </li>
 </ul>
 Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 
 
 
 </li>
 </ul>
 AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 
 
 
 </li>
 </ul>
 Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and SOLID design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and CI/CD pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
</div>

AI Engineer

Sofstica

At Sofstica, we&rsquo;re at the forefront of pioneering AI-driven solutions that revolutionize industries. As part of our AI-first engineering revolution, we&rsquo;re seeking versatile AI Engineers who excel in building intelligent agents and thrive in end-to-end product development. If you&rsquo;re passionate about solving complex problems with code, data structures, and cutting-edge AI frameworks, join us to shape the future of technology.Key Responsibilities<ul><li>AI Agent Development:</li></ul>Design and implement advanced AI agents using Python, LangChain, LangGraph, and modern frameworks for reasoning, decision-making, and workflow orchestration.<ul><li>Full-Stack Integration:</li></ul>Build scalable backend services with Java SpringBoot, intuitive frontends with Next.js, and mobile apps with Flutter to deliver AI-powered products.<ul><li>Deployment &amp; Scalability:</li></ul>Deploy and maintain AI models in production environments.<ul><li>Cross-Team Collaboration:</li></ul>Partner with product and engineering teams to translate business logic into robust AI architectures and user-centric features.Qualification Technical Expertise:<ul><li>Excellent analytical, coding, and debugging skills in Python.</li><li>Hands-on experience building AI agents, RAG pipelines, or autonomous systems with frameworks like LangChain/LangGraph.</li><li>Solid understanding of data structures, algorithms, and system design for solving complex technical challenges.</li><li>Familiarity with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration).</li></ul>Mindset:<ul><li>Analytical problem-solver with a focus on writing clean, efficient, and scalable code.</li><li>Ability to balance rapid prototyping with production-grade engineering.</li><li>Strong communication skills to articulate technical trade-offs to diverse teams.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Do you have Solid understanding of data structures, algorithms, and system design for solving complex technical challenges? </li><li>Are you fimilar with frontend (Next.js/React) and mobile (Flutter) development, as well as backend development using Java SpringBoot (REST APIs, microservices, database integration?</li><li>Do you have experience with LangChain/LangGraph?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Work Location: In person

Fullstack - AI Engineer

Cube Discipline

We are looking for a skilled Node.js / AI Engineer who can develop scalable backend systems and integrate AI models into production applications. The ideal candidate will have hands-on experience in Node.js, APIs, and AI/ML frameworks, with a strong ability to bridge backend engineering and AI implementation.Key Responsibilities:<ul><li>Design, develop, and maintain server-side applications using Node.js and Express.js.</li><li>Integrate AI/ML models into web and cloud-based applications.</li><li>Collaborate with data scientists and AI engineers to deploy and optimize ML pipelines.</li><li>Develop and manage RESTful APIs, ensuring high performance and scalability.</li><li>Write clean, testable, and maintainable code.</li><li>Handle data preprocessing, model inference, and integration with external APIs.</li><li>Work closely with cross-functional teams for smooth project execution.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>2&ndash;5 years of experience in Node.js development.</li><li>Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).</li><li>Strong understanding of REST APIs, microservices, and asynchronous programming.</li><li>Experience with MongoDB, MySQL, or PostgreSQL.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) for model deployment.</li></ul>Job Type: Full-timeWork Location: In person

Node JS/ AI Engineer

HRCONSOL

Are you passionate about the intersection of AI, creativity, and content production? Our client, a leading production house based in DHA, Karachi, is looking for an innovative and detail-oriented AI Prompt Engineer to join their dynamic creative team.Key Responsibilities<ul><li>Develop and refine AI prompts to generate high-quality text, visuals, or video concepts for media and production projects.</li><li>Collaborate with creative directors, writers, and designers to integrate AI-generated content into storyboards, scripts, and campaigns.</li><li>Research and experiment with cutting-edge AI tools (ChatGPT, Midjourney, Runway, etc.) to enhance creative workflows.</li><li>Optimize prompt strategies for accuracy, tone, and creative alignment.</li><li>Maintain documentation and best practices for AI-assisted production processes.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, AI, Media Sciences, or a related field.</li><li>Strong understanding of generative AI tools and prompt engineering techniques.</li><li>Experience with ChatGPT, Midjourney, Leonardo AI, Runway, Stable Diffusion, or similar platforms.</li><li>A creative mindset with the ability to translate ideas into effective AI outputs.</li><li>Excellent written and communication skills.</li></ul>Job Type: Full-timeExperience:<ul><li>AI-generated text, visuals, and video content: 4 years (Required)</li></ul>Work Location: In person

AI Prompt Engineer

DK Digital Solutions

Job Summary:We are looking for a Mid-Level AI Automation Engineer to design, develop, and maintain automation workflows using n8n, Make.com, and custom API integrations. The ideal candidate will have strong experience in building intelligent automation systems using LLM models, REST APIs, WebSockets, and Webhooks to enhance process efficiency and data flow across multiple platforms.Key Responsibilities:<ul><li>Design, build, and optimize automation workflows using n8n, Make.com, and other low/no-code platforms.</li><li>Integrate and manage REST APIs between internal and third-party applications.</li><li>Implement AI-powered automation using LLMs (ChatGPT/OpenAI, Claude, Gemini, etc.) for content generation, chatbot development, and decision-making systems.</li><li>Utilize WebSockets and Webhooks for real-time data synchronization and event-driven processes.</li><li>Develop and maintain documentation for automation workflows, integrations, and systems.</li><li>Troubleshoot, debug, and optimize automation performance.</li><li>Collaborate with cross-functional teams (IT, operations, and product) to identify automation opportunities and improve workflows.</li><li>Ensure automation reliability, security, and scalability.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field.</li><li>2&ndash;4 years of experience in automation development or integration engineering.</li><li>Strong hands-on experience with n8n and Make.com (Integromat).</li><li>Solid understanding of REST APIs, JSON, and HTTP methods.</li><li>Experience with LLM-based automation (e.g., OpenAI API, LangChain, or custom GPT integrations).</li><li>Knowledge of WebSockets, Webhooks, and event-driven architecture.</li><li>Proficiency in JavaScript or Python for writing custom functions within automation workflows.</li><li>Familiarity with cloud platforms (AWS, GCP, or Azure) is a plus.</li><li>Good problem-solving, debugging, and analytical skills.</li><li>Ability to manage multiple automation projects with minimal supervision.</li></ul>Preferred Skills:<ul><li>Experience integrating with tools like Slack, Notion, Airtable, HubSpot, or CRMs.</li><li>Understanding of prompt engineering and AI agent workflow design.</li><li>Basic knowledge of databases (SQL / NoSQL).</li><li>Familiarity with version control (Git).</li></ul>Job Type: Full-timeWork Location: In person

AI Automation Engineer

The Syndicate

Female Intern &mdash; AI Prompt Engineer &amp; Social Media AssistantLocation: DHA Phase 8 Job Type: Internship (On-site) Duration: 3-month probation, extendable or convertible to full-time based on performanceJob DescriptionWe are seeking a female intern who is enthusiastic about technology, creativity, and digital media. The selected candidate will assist in AI prompt engineering and social media management while gaining hands-on experience in the fast-evolving field of AI-assisted content creation.Responsibilities<ul><li>Create, test, and optimize AI prompts for content, visuals, and marketing materials.</li><li>Assist in managing company social media platforms (Facebook, Instagram, LinkedIn, etc.).</li><li>Develop engaging posts and campaigns using AI tools.</li><li>Monitor social media engagement and performance analytics, content calendar etc.</li><li>Collaborate with the marketing team to ensure brand consistency.</li><li>Stay updated with AI and digital marketing trends.</li></ul>Requirements<ul><li>Female candidate (Internship position)</li><li>Basic knowledge of social media management tools</li><li>Interest in AI tools (ChatGPT, DALL&middot;E, Midjourney, Canva AI, Video making tools etc.)</li><li>Strong writing, creativity, and communication skills</li><li>Responsible, detail-oriented, and eager to learn</li></ul>Preferred Education &amp; Background<ul><li>Bachelor&rsquo;s degree (or currently enrolled) in Marketing, Computer Science, Media Studies, Communications, or related field</li><li>Prior experience in content creation or AI tools will be a plus</li></ul>What We Offer<ul><li>Monthly stipend of 20,000 + 10,000 Fuel allowance = 30,000 Pkr.</li><li>Professional training and mentorship in AI &amp; digital marketing</li><li>Certificate of completion after internship</li><li>Potential for full-time employment based on performance</li></ul>To Apply: Send your resume to hr@dsyndicate.co (0370-1353789) with the subject line: &ldquo;AI &amp; Social Media Intern &mdash; DHA Phase 8&rdquo;Job Type: Full-timeWork Location: In person

Female Intern — AI Prompt Engineer & Social Media Assistant

<div>
 
 
 BUILD THE REAL-TIME INTELLIGENCE OF ADAPT
 
 
 
 
 
 
 
 About digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the LNG and GTL capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If you are driven by impact, speed, and purpose not titles or bureaucracy you will fit right in.
 
 
 
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 
 
 
 About the Role
 
 
 
 We are seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. You will build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 - AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 </li>
 </ul>
 
 
 
 
 
 - System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 </li>
 </ul>
 
 
 
 
 
 - AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 </li>
 </ul>
 
 
 
 
 
 - Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 </li>
 </ul>
 
 
 
 
 
 - Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 
 
 
 
 
 - Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 </li>
 </ul>
 
 
 
 
 
 Technical Expertise
 
 
 
 
 
 
 
 - LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 </li>
 </ul>
 
 
 
 
 
 - AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 </li>
 </ul>
 
 
 
 
 
 - Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and&nbsp;SOLID&nbsp;design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and&nbsp;CI/CD&nbsp;pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 </li>
 </ul>
 
 
 
 
 
 - Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations.
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 </li>
 </ul>
 
 
 
 
 
 - Preferred
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 </li>
 </ul>
 
 
 
 
 
 Why join us?
 
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. You will join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
 
</div>

Artificial Intelligence Engineer

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