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agentic ai 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

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

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)

Cloudelligent

<div>Position Title: Sr. AWS DevOps Engineer- Kubernetes Expertise 
Job Timings: 8am-5pm Central Time (US) 
Location: Islamabad
About Cloudelligent
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.
Job Objective
As an experienced DevOps Engineer your primary role would be to build and deploy complex cloud environments for our customers using innovative automation tools and cutting-edge technologies. You will be responsible for setting up, maintaining, and evolving the AWS cloud architecture and supporting infrastructure monitoring and alerting, issues troubleshooting, and developing required automation for our customers.
Responsibilities<ul><li>
Work alongside a team of DevOps Engineers to architect, build, and deploy AWS cloud infrastructure that is redundant, resilient, scalable, self-sustaining, and self-healing.</li><li>
Promote infrastructure as code and automation as much as possible. To achieve this, you must have extensive knowledge of the DevOps tool sets like Terraform, Cloudformation, CircleCI, Gitlab, Jenkins, Docker, Kubernetes.</li><li>
Design, build, and maintain our Kubernetes infrastructure, including clusters, namespaces, and deployments.</li><li>
Work on projects independently with customers and stakeholders, gathering their requirements and informing them of new features and enhancements.</li><li>
Create and improve current operational practices and procedures.</li><li>
Ensure the implementation and maintenance of compliance and security practices in operational infrastructure.</li><li>
Responsible for training and mentoring junior DevOps engineers and new team members.</li></ul>
Requirements<ul><li>
Bachelor&rsquo;s in software/computer engineering, computer science or related field.</li><li>
Effective communication skills (proficiency in English language).</li><li>
5+ years of professional experience in DevOps engineering.</li><li>
4+ years of using CI/CD tools (Jenkins, CircleCI, Gitlab, or similar)</li><li>
Experience in Infrastructure as code (Terraform / Cloudformation/CDK) and using container orchestration tools (Kubernetes/EKS or ECS, Rancher, etc.)</li><li>
Experience of using configuration management tools (Puppet, Ansible, etc.) and working with containers (Docker or Docker-Compose, etc.)</li><li>
Experience of using Scripting when necessary (Bash, Python, Ruby, Go or Javascript, etc.)</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li></ul>
Technical Experience/Expertise<ul><li>
Strong hands-on expertise with solution architecting environments in AWS cloud space.</li><li>
Strong hands-on experience with code pipeline design, development, and managing CI/CD workflows and tools.</li><li>
Comprehensive understanding and hands-on experience of core DevOps concepts (CI/CD, Agile &amp; Automation).</li><li>
Extensive experience in designing, deploying, and managing Kubernetes clusters in production environments.</li><li>
Expertise in containerization technologies such as Docker, including creating Docker images, managing Docker registries, and configuring Docker runtime environments.</li><li>
Familiarity with monitoring and logging tools such as Prometheus, Opentelemetry, Grafana, ELK stack (Elasticsearch, Logstash, Kibana).</li><li>
Extensive knowledge and hands-on experience of IP networking, VPN's, DNS, load balancing, and firewall.</li><li>
Extensive knowledge and hands-on experience with designing a secure infrastructure using current cloud-native security standards.</li></ul>
Good to have<ul><li>
AWS Certified Solutions Architect Associate/Professional and/or AWS Certified DevOps Professional</li><li>
Certified Kubernetes Administrator (CKA)</li></ul>
Zo7ckr5gC3</div>

Sr. AWS DevOps Engineer- Kubernetes Expertise

<div>
 
 Cloudelligent is looking for competent candidates for the position of&nbsp;Service Desk Engineer (L1)&nbsp;
 
 &nbsp;
 
 
 Position Title: Service Desk Engineer&nbsp;
 
 Location: Islamabad
 
 
 &nbsp;
 
 &nbsp;
 
 
 About Cloudelligent&nbsp;
 
 
 &nbsp;
 
 Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions.&nbsp;
 
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 Responsibilities&nbsp;
 
 
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 Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.&nbsp;
 
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 Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards&nbsp;
 
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 Act as a contact point between Helpdesk Operations and Other external and internal teams.&nbsp;
 
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 Escalate issues to relevant teams based on SOP &amp; Escalation matrix&nbsp;
 
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 Provide Incident Response (IR) support when analysis confirms actionable incident&nbsp;
 
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 Perform incident closure, verifying problem resolution with Users and documenting resolution procedures&nbsp;
 
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 Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.&nbsp;
 
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 IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems&nbsp;
 
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 Troubleshoot software, hardware, and network issues.&nbsp;
 
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 Guide end-users on how to setup and use&nbsp;new technologies.&nbsp;
 
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 Perform vendor management for procurement and support (Cloudelligent/Clients).&nbsp;
 
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 Assist Cloud team with migration and supporting infrastructure on Azure/AWS.&nbsp;
 
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 Backup and restore&nbsp;the organization's&nbsp;data files and systems.&nbsp;
 
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 Install, configure, and upgrade PC software and operating systems.&nbsp;
 
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 Manage inventory and track IT assets used by the organization.&nbsp;
 
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 Author, edit, and manage IT documentation to improve our&nbsp;clients'&nbsp;IT policy, procedures, and protocols.&nbsp;
 
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 Manage the helpdesk collaboratively for&nbsp;optimal&nbsp;performance and support by resolving incidents&nbsp;in a timely manner.&nbsp;
 
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 Prepare and present weekly updates.&nbsp;
 
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 Participate in IT projects.&nbsp;&nbsp;
 
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 Requirements&nbsp;
 
 
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 Bachelor's degree in information technology, computer&nbsp;science&nbsp;or related field.&nbsp;
 
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 2+ years of experience providing customer-focused technical support.&nbsp;
 
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 Exceptional verbal, written, and interpersonal communication skills.&nbsp;
 
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 Hands on experience&nbsp;with&nbsp;service desk ticketing&nbsp;systems, email, online chat, service support process, and SLA.&nbsp;
 
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 Strong interest in IT support, technical troubleshooting, and cloud technologies.&nbsp;
 
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 Basic understanding of IT methodologies and service desk operations.&nbsp;
 
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 Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365).&nbsp;Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.&nbsp;
 
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 Knowledge of cloud platforms (AWS or Azure) is a plus.&nbsp;
 
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 Should be able to work in 24/7 environments.&nbsp;
 
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 Self-driven, ability to work independently or as part of a project team with limited supervision.&nbsp;
 
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 AWS Cloud Practitioner certification is highly preferred.&nbsp;
 
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</div>

Service Desk 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

<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

Explore 88+ Agentic ai engineer in Islamabad this February. Find roles across top companies and apply now to boost your career.