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administration associate

agentic ai engineer

ai engineering lead

ai workflow ai operations engineer

NEXT eBIZ

Location: Islamabad, PakistanReimagine Work Through Agentic AIWe are a rapidly growing multinational group with operations across the UK, USA, Malaysia, and the UAE. As we expand our AI capabilities, we are seeking a forward-thinking AI Engineer to design and deliver agentic AI systems that automate workflows, enhance productivity, and scale global business operations.This role sits at the intersection of AI engineering, workflow automation, and business impact. You will architect intelligent, multi-agent systems that operate autonomously across e-commerce, operations, recruitment, logistics, and customer experience.Key Responsibilities<ul><li>Design and implement agentic AI workflows for real-time task execution and decision-making</li><li>Build and orchestrate multi-step automation pipelines using agent frameworks and workflow tools</li><li>Develop multi-agent architectures to support e-commerce growth, sales, recruitment, and logistics</li><li>Integrate AI solutions into internal operations and customer-facing systems</li><li>Build custom GPTs, AI copilots, and autonomous agents aligned with business objectives</li><li>Collaborate with global teams to identify automation opportunities and optimize workflows</li><li>Support non-technical teams with AI onboarding, prompt strategy, and best practices</li><li>Contribute to the AI roadmap with a focus on scalability, reliability, and responsible AI adoption</li></ul>Required Qualifications<ul><li>Hands-on experience with agentic AI frameworks (e.g., AutoGPT, BabyAGI, OpenAgents, CrewAI)</li><li>Strong experience building multi-step workflows using LangChain, automation platforms, or custom scripts</li><li>Proficiency in Python (required); JavaScript or TypeScript is a plus</li><li>Experience integrating AI into e-commerce, customer service, logistics, or internal operations</li><li>Practical experience with LLM APIs (OpenAI, Claude, Gemini, Mistral, etc.)</li><li>Experience designing and implementing RAG (Retrieval-Augmented Generation) systems</li><li>Familiarity with vector databases such as Pinecone, Weaviate, or FAISS</li><li>Ability to deploy, monitor, and optimize autonomous agents in production environments</li></ul>Nice to Have<ul><li>Experience with agent memory, prompt optimization, or RLHF concepts</li><li>Exposure to orchestration tools such as Airflow, Zapier, or Make</li><li>Understanding of AI governance, ethics, and performance monitoring</li></ul>What We Offer<ul><li>Opportunity to work on real-world, production-grade AI systems</li><li>Collaboration with international teams across multiple regions</li><li>High-impact role influencing automation and AI strategy at scale</li><li>Competitive compensation based on experience</li><li>Long-term growth within a fast-scaling global organization</li></ul>Job Type: Full-timeWork Location: In person

AI Workflow / AI Operations Engineer

Datamatics Global Services Ltd

<div>Job Title: Agentic AI Engineer 
Location: Islamabad, Pakistan (Onsite) 
Experience: 7&ndash;8 Years 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Job Overview</h3>
We are looking for a highly skilled Agentic AI Engineer to design, build, and deploy intelligent AI agents capable of autonomous decision-making, workflow execution, and tool integration. The ideal candidate will have strong experience in AI/ML systems, LLM-based applications, and building multi-agent or autonomous AI solutions that solve real business problems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and develop agentic AI systems that can plan, reason, and execute tasks autonomously.</li><li>
Build and optimize applications using Large Language Models (LLMs) and advanced AI frameworks.</li><li>
Develop multi-agent architectures for complex workflows and decision-making processes.</li><li>
Integrate AI agents with enterprise tools, APIs, databases, and internal platforms.</li><li>
Implement memory, planning, retrieval, and tool-use capabilities in AI agents.</li><li>
Work closely with product, engineering, and business teams to identify AI automation opportunities.</li><li>
Ensure scalability, security, and performance of AI systems in production.</li><li>
Continuously evaluate new AI frameworks, models, and techniques to improve solutions.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
7&ndash;8 years of experience in AI/ML, software engineering, or applied AI development.</li><li>
Strong programming experience in Python.</li><li>
Hands-on experience with LLMs and AI frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar.</li><li>
Experience with RAG architectures, vector databases, and embeddings.</li><li>
Familiarity with OpenAI, open-source LLMs, or similar AI model ecosystems.</li><li>
Experience building AI agents, automation workflows, or intelligent assistants.</li><li>
Strong understanding of APIs, microservices, and cloud platforms (AWS, GCP, or Azure).</li><li>
Experience with Docker, CI/CD, and scalable system design.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with multi-agent systems and autonomous AI workflows.</li><li>
Knowledge of prompt engineering, model evaluation, and AI safety.</li><li>
Familiarity with vector databases such as Pinecone, Weaviate, or FAISS.</li><li>
Experience working in AI startups or advanced R&amp;D environments.</li><li>
Background in Computer Science, AI, Data Science, or related field.</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on cutting-edge AI and autonomous systems.</li><li>
Competitive salary and growth opportunities.</li><li>
Collaborative and innovation-driven work environment.</li><li>
Exposure to global AI projects and modern technology stack.</li></ul>
Hr0rUNuBPn</div>

Agentic AI Engineer

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Truck it in

<div><div><div>What You&rsquo;ll Do 
</div><ul><li>Use AI tools (ChatGPT, Claude, Jasper, Copy.ai) to assist with content creation, ideation, and research 
</li>
<li>Create visual and video content using AI-enabled tools like Canva, Nano Banana and AI image/video generators 
</li>
<li>Support SEO and content optimization using AI-powered platforms 
</li>
<li>Manage social media scheduling, analytics, and content repurposing 
</li>
<li>Analyze campaign and customer data to extract insights 
</li>
<li>Support workflow automation and documentation using tools like Notion, n8n and Zapier 
</li>
</ul><div>What We&rsquo;re Looking For 
</div><ul><li>0&ndash;6 months experience or relevant academic exposure in marketing, digital media, or AI tools 
</li>
<li>Basic knowledge of AI tools for content, design, and marketing 
</li>
<li>Familiarity with SEO, social media, marketing automation, and brand voice 
</li>
<li>Strong attention to detail with ability to refine AI outputs</li> 
</ul><div></div> 
<div>Why Join Us 
At Truck It In, you&rsquo;ll join a dynamic, growth-focused environment, working closely with leadership on top-notch Supply Chain and Logistics products. Gain hands-on experience with AI marketing tools, grow in a future-ready role, and collaborate with a team innovating at the intersection of AI + Marketing &mdash; all with a competitive compensation package and equal opportunities.</div></div></div><div></div>

Marketing Executive

<div>Department: IT Development 
Reports To: AI Engineering Lead<h2 class="jobSectionHeader">
Position Summary</h2>
The AI Engineer is responsible for designing, developing, and deploying AI-powered applications and systems that integrate with Android, iOS, and web platforms. The role involves working on applied machine learning, automation, and intelligent features that enhance customer experience and operational efficiency. The ideal candidate should have strong expertise in mobile development, backend engineering (Python), and web technologies, along with hands-on experience in building, testing, and scaling AI-driven solutions.<h2 class="jobSectionHeader">
Duties &amp; Responsibilities</h2><ul><li>
Design, build, and maintain AI-driven features for mobile (Android/iOS) and web platforms</li><li>
Collaborate with cross-functional teams (mobile, backend, product) to integrate AI capabilities such as recommendation engines, chatbots, fraud detection models, and personalization systems</li><li>
Develop machine learning models, perform data preprocessing, and deploy production-ready models using Python frameworks (TensorFlow, PyTorch, Scikit-learn)</li><li>
Write clean, modular, and scalable code using engineering best practices (SOLID principles, Clean Architecture)</li><li>
Build and manage APIs and microservices for AI functionality using Flask, FastAPI, or Node.js</li><li>
Work closely with UX/UI and product teams to convert insights into intelligent user experiences</li><li>
Conduct model performance optimization, A/B testing, and evaluation for real-world accuracy and reliability</li><li>
Integrate AI systems with cloud infrastructure (AWS, GCP, or Azure) ensuring compliance, governance, and security standards</li><li>
Participate in code reviews, peer-learning sessions, and agile ceremonies such as scrums and sprint reviews</li><li>
Stay updated with emerging AI, ML, GenAI, and automation trends to propose innovative solutions</li><li>
Demonstrate Behaviors &mdash; Be Respectful, Keep Promises, Always Explore, Create Together &mdash; in daily work practices</li></ul><h2 class="jobSectionHeader">
Direct Reports</h2><ul><li>
None</li></ul><h2 class="jobSectionHeader">
Role Relationships</h2><h3 class="jobSectionHeader">
Internal</h3><ul><li>
IT Development</li><li>
Information Security</li><li>
Operations</li><li>
Internal Audit</li></ul><h3 class="jobSectionHeader">
External</h3><ul><li>
Vendors</li></ul><h2 class="jobSectionHeader">
Knowledge &amp; Experience</h2><h3 class="jobSectionHeader">
Education</h3><ul><li>
BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field</li></ul><h3 class="jobSectionHeader">
Experience</h3><ul><li>
3+ years of software development experience</li><li>
Proven experience in AI/ML projects</li><li>
Hands-on experience with mobile development (Android/iOS), Python engineering, and web technologies</li></ul><h2 class="jobSectionHeader">
Competencies</h2><h3 class="jobSectionHeader">
AI / ML</h3><ul><li>
Flowise, PyTorch, OpenAI APIs, N8N</li><li>
Machine Learning &amp; Applied AI development</li><li>
Data preprocessing, model training, deployment</li></ul><h3 class="jobSectionHeader">
Programming</h3><ul><li>
Python</li><li>
Swift / Kotlin</li><li>
JavaScript / TypeScript</li></ul><h3 class="jobSectionHeader">
Cloud &amp; DevOps</h3><ul><li>
AWS / GCP</li><li>
Docker, CI/CD pipelines</li></ul><h3 class="jobSectionHeader">
Version Control</h3><ul><li>
Git</li></ul><h3 class="jobSectionHeader">
Data Engineering</h3><ul><li>
Pandas, NumPy, SQL</li><li>
ETL processes &amp; data pipelines</li></ul><h3 class="jobSectionHeader">
Mobile &amp; Web Development</h3><ul><li>
Android Studio</li><li>
Xcode</li><li>
React / Next.js</li><li>
Flutter (optional)</li></ul><h3 class="jobSectionHeader">
API &amp; Backend</h3><ul><li>
REST, GraphQL</li><li>
Flask / FastAPI</li><li>
Node.js</li></ul><h3 class="jobSectionHeader">
Security &amp; Compliance</h3><ul><li>
Secure coding standards</li><li>
Data privacy and compliance frameworks</li></ul>
UUnhBo8fyy</div>

AI Engineering Lead

Decimal Solution

Decimal Solution is seeking a skilled Senior AI Automation Engineer to join our team. In this role, you will be at the forefront of designing and building intelligent AI-assisted automation systems for enterprise operations. You will leverage a combination of traditional automation and cutting-edge AI/LLM technologies to create smart, reliable, and scalable solutions that drive efficiency and support high-volume business processes.Key Responsibilities:<ul><li>Design, build, and deploy intelligent automation workflows and large-scale automation pipelines.</li><li>Integrate AI and Large Language Model (LLM) technologies from providers like OpenAI, Anthropic, and Google Gemini into business automation systems.</li><li>Develop robust validation systems and anomaly detection mechanisms to ensure the reliability of AI-driven decisions within automation workflows.</li><li>Architect secure and scalable automation solutions tailored for enterprise environments.</li><li>Own automation projects from initial design and development through to deployment and maintenance.</li><li>Collaborate effectively within cross-functional Agile/Scrum teams to deliver high-quality solutions.</li><li>Utilize SQL databases for data validation, logging, and reporting purposes.</li><li>Work with modern automation and integration platforms as part of solution design.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical field.</li><li>Minimum 2+ years of hands-on experience in Python-based automation.</li><li>Minimum 2+ years of experience integrating AI/LLM solutions into production business workflows.</li><li>Strong experience building and maintaining production-level automation systems.</li><li>Strong expertise in Python automation frameworks (e.g., Selenium, PyTest) and development frameworks (e.g., Django, Flask, FastAPI).</li><li>Proven experience designing and developing AI-assisted automation workflows with LLMs.</li><li>Hands-on experience creating secure, scalable automation solutions for enterprise environments.</li><li>Proficiency in working with SQL databases for data tasks.</li><li>Familiarity with modern automation/integration tools (e.g., n8n, Make, Zapier).</li><li>Familiarity with CI/CD pipelines and Agile/Scrum development environments.</li><li>Familiarity with running and managing LLMs locally or on servers using tools such as Ollama or LLMStudio.</li></ul>Tools &amp; Platforms (Experience with some of the following):<ul><li>ServiceNow ATF</li><li>JMeter for performance testing</li><li>N8N, Make, ManyChat, Zapier</li></ul>Soft Skills &amp; Logistics:<ul><li>Ability to own projects end-to-end and make sound technical decisions.</li><li>Comfortable working both independently and as part of a team.</li><li>Strong collaboration and communication skills.</li><li>Career-oriented with growth potential toward AI Automation Architect or Technical Lead roles.</li><li>Must be available to work and collaborate primarily during Eastern Standard Time (EST) zone hours.</li></ul>To learn more about us, visit: www.decimalsolution.comJob Type: Full-timeAbility to commute/relocate:<ul><li>Islamabad: Reliably commute or planning to relocate before starting work (Required)</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Python-based automation: 2 years (Required)</li><li>Integrating AI/LLM solutions: 2 years (Required)</li><li>Python Development Frameworks: 2 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Senior Automation Engineer (AI/ML Engineer) (Full Time, On-site, I-8/4 Islamabad)

ImagineArt

<div><h1 class="jobSectionHeader">Principal AI Engineer (LLM Agents &amp; Orchestration)</h1> 
Role Title: Principal AI Engineer (LLM Agents &amp; Orchestration) Team: Chatly Engineering Focus: Building Autonomous &quot;Super Agents&quot;<h2 class="jobSectionHeader"> 
Who We Are</h2>
Vyro is redefining the future of digital creativity. We build cutting-edge content creation tools powered by Artificial Intelligence and Machine Learning, helping millions of creators, designers, and storytellers bring their imagination to life &mdash; effortlessly.
With a global user base of over 5 million active creators every month, Vyro&rsquo;s 20+ AI-powered apps are transforming how people design, edit, and express themselves across images, videos, and beyond.
From intuitive AI photo editors to next-gen video creation platforms, our products are designed to make creativity accessible, fast, and limitless.
At Vyro, we&rsquo;re a team of innovators, builders, and dreamers &mdash; known as Vyronauts &mdash; driven by passion, purpose, and the belief that technology should inspire creativity, not complicate it.<h3 class="jobSectionHeader">
If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.</h3><h3 class="jobSectionHeader"> 

About the Role</h3>
We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new &quot;Super Agent&quot; within Chatly. You will move beyond simple chat interfaces to build autonomous agents capable of complex reasoning, tool usage, and seamless integration with external workflows.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Agent Architecture: Design and implement stateful agentic workflows (using frameworks like LangGraph or custom Python/TypeScript solutions) that can plan, execute, and self-correct.</li><li>
Integration Ecosystem: Build the &quot;hands&quot; of the agent. Develop robust integration layers that allow the LLM to interact with our internal APIs, databases, and third-party tools reliably.</li><li>
Latency &amp; Reliability: Optimize inference pipelines for speed (streaming, token optimization) and reliability (handling hallucinations, structured output validation).</li><li>
Memory Systems: Architect advanced RAG (Retrieval-Augmented Generation) systems to give the Super Agent persistent memory and context awareness across sessions.</li><li>
Evaluation &amp; Observability: Establish a rigorous testing framework for non-deterministic model outputs to ensure the agent behaves as expected in production.</li></ul><h3 class="jobSectionHeader">
Technical Requirements</h3><ul><li>
Core Stack: Deep proficiency in Python (or TypeScript) and the modern AI stack (LangChain, LlamaIndex, DSPy).</li><li>
Model Internals: Strong grasp of how to leverage specific model strengths (e.g., GPT-4o for reasoning, Haiku/Flash for speed) and experience with Function Calling/Tool Use.</li><li>
Vector Search: Hands-on experience with vector databases (Pinecone, Milvus, Weaviate) and embedding strategies.</li><li>
System Design: Experience designing event-driven architectures where agents respond to triggers, not just user prompts.</li></ul>
Why Join Us?<ul><li>
Opportunity to work on innovative AI products like Chatly and Imagine, shaping the future of creativity and user interaction.</li><li>
Be part of a passionate, fast-moving team that values innovation and data-driven decisions.</li><li>
Competitive compensation and benefits.</li><li>
A culture where learning, growth, and experimenting with new ideas are deeply encouraged.</li></ul></div>

Principal AI Engineer (LLM Agents & Orchestration)

Explore 174+ Ai workflow ai operations engineer in Islamabad this February. Find roles across top companies and apply now to boost your career.