graphic designer

ui/ux designer

ai engineer

architect

creative designer

ai architect

Confiz

<div>We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases, implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
Key Responsibilities
<ul><li>Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures</li>
<li>Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness</li>
<li>Build production-ready voicebot solutions integrating real-time speech processing pipelines</li>
<li>Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy</li>
<li>Design and Deploy PROD grade AI Agents that can scale up for various use cases.</li>
<li>Fine-tune large language models using various techniques.</li>
<li>Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies</li>
<li>Implement evaluation frameworks and metrics for LLM outputs and conversational quality</li>
<li>Develop custom training pipelines for domain adaptation and specialized use cases</li>
<li>Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing</li>
<li>Implement efficient vector databases and semantic search systems (Pinecone, Azure Search)</li>
<li>Build monitoring and observability solutions for AI systems in production</li>
<li>Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies</li>
<li>Experiment with emerging models and frameworks to evaluate applicability to business problems</li>
<li>Contribute to technical documentation, best practices, and knowledge sharing within the team</li>
<li>Prototype and validate new AI capabilities through POCs and pilots</li>
</ul>
Required Qualifications
<ul><li>8+ years of software engineering experience with 4+ years focused on AI/ML engineering</li>
<li>Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow)</li>
<li>Master's or PhD in Computer Science, AI/ML, or related technical field</li>
<li>Experience with open-source LLMs (Llama, Mistral, etc.) and local deployment</li>
<li>Knowledge of reinforcement learning from human feedback (RLHF) and DPO</li>
<li>Familiarity with multi-modal AI systems (vision-language models, audio-visual understanding)</li>
<li>Experience with real-time streaming architectures and WebRTC</li>
<li>Published research or contributions to open-source AI projects</li>
<li>Experience with GPU optimization and distributed training</li>
<li>Knowledge of voice biometrics, speaker diarization, or emotion recognition</li>
<li>Background in linguistics, phonetics, or speech processing</li>
<li>Deep hands-on experience with advanced RAG systems:</li>
<li>Multi-stage retrieval architectures (hybrid search, re-ranking)</li>
<li>Embedding models and vector similarity search</li>
<li>Document processing, chunking strategies, and metadata filtering</li>
<li>Query understanding and retrieval optimization</li>
<li>Multi-turn dialogue management</li>
<li>Intent recognition and slot filling</li>
<li>Context tracking and memory management</li>
<li>Integration with LLM APIs (OpenAI, Anthropic, Cohere, etc.)</li>
<li>Production experience with voicebot development:</li>
<li>Real-time audio streaming and processing</li>
<li>Voice activity detection (VAD)</li>
<li>End-to-end latency optimization</li>
<li>Integration of STT, dialogue management, and TTS components</li>
<li>Expertise in TTS and STT technologies:</li>
<li>Modern TTS systems (ElevenLabs, Soniox, Azure Speech)</li>
<li>STT engines ( Deepgram, AssemblyAI)</li>
<li>Audio preprocessing and enhancement</li>
<li>Voice cloning and customization</li>
<li>Strong experience with LLM fine-tuning:</li>
<li>Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)</li>
<li>Experience with MLOps tools and practices (MLflow, Weights &amp; Biases, experiment tracking)</li>
<li>Strong understanding of API design, microservices architecture, and system integration</li>
<li>Knowledge of version control, CI/CD pipelines, and deployment automation</li>
</ul>
We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

AI Architect

LN Technologies

Key Responsibilities1. Architecture &amp; Technical Leadership<ul><li>Design end-to-end architectures for AI solutions, IoT platforms, mobile apps, data platforms, and cloud-native systems</li><li>Create architecture diagrams, data models, API specifications, and cloud infrastructure plans</li><li>Define security and compliance frameworks for scalable systems</li><li>Evaluate and recommend emerging technologies aligned with R&amp;D objectives</li><li>Establish architecture standards and best practices across projects</li></ul>2. Project Oversight &amp; Delivery Management<ul><li>Serve as technical lead and solution owner for software development projects</li><li>Collaborate with product managers and engineering teams to break down requirements</li><li>Define technical scope and architecture approach</li><li>Estimate effort and guide sprint planning</li><li>Ensure adherence to code quality, security, and DevOps best practices</li><li>Oversee AI model governance and system integration strategies</li></ul>3. R&amp;D &amp; Innovation Enablement<ul><li>Partner with research teams to translate concepts into technical architectures</li><li>Support technical sections of grant proposals and innovation initiatives</li><li>Prototype new ideas using rapid experimentation and POCs</li><li>Evaluate new frameworks, tools, and platforms for innovation programs</li><li>Drive adoption of emerging technologies in product development</li></ul>4. System Design &amp; Integration<ul><li>Architect scalable cloud-native and microservices-based systems</li><li>Design API-first and event-driven architectures</li><li>Define data platform architectures and integration strategies</li><li>Ensure system scalability, reliability, and performance optimization</li><li>Implement secure system integration across platforms</li></ul>5. Security &amp; Compliance Governance<ul><li>Ensure architecture compliance with security standards (HIPAA, NIST, etc.)</li><li>Define secure authentication, authorization, and data protection models</li><li>Implement risk mitigation strategies in system design</li><li>Enforce cloud security and DevSecOps practices</li></ul>6. Team Management &amp; Leadership<ul><li>Manage and oversee the performance of the engineering and architecture team</li><li>Provide technical mentorship and guidance to team members</li><li>Allocate resources and balance workload across projects</li><li>Conduct performance reviews and support team development plans</li><li>Ensure team adherence to architecture standards and delivery timelines</li><li>Foster collaboration across cross-functional teams</li></ul>7. Stakeholder Collaboration<ul><li>Collaborate with clients, government partners, universities, and internal teams</li><li>Present technical architectures to non-technical stakeholders</li><li>Validate solution feasibility and scalability with cross-functional teams</li><li>Provide technical guidance to engineering and product teams</li></ul>8. Technical Documentation &amp; Knowledge Sharing<ul><li>Document architecture designs and technical decisions</li><li>Prepare architecture guidelines and reusable frameworks</li><li>Conduct knowledge-sharing sessions with engineering teams</li><li>Maintain architecture standards and governance documentation</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field</li><li>5+ years of experience in software architecture or senior engineering roles</li><li>Hands-on experience with cloud platforms (Azure, AWS, or GCP)</li><li>Experience with AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker)</li><li>Experience with IoT ecosystems and edge computing</li><li>Strong knowledge of API and microservices architecture</li><li>Experience with mobile applications and data platforms</li><li>Experience leading software development teams</li><li>Strong understanding of scalability, security, and system integration patterns</li></ul>Preferred Qualifications<ul><li>Experience with healthcare systems and HIPAA/FDA compliance</li><li>Experience architecting AI systems for real-time data or predictive analytics</li><li>Experience working in R&amp;D or innovation environments</li><li>Relevant certifications (AWS Solutions Architect, Azure Solutions Architect, TOGAF, PMP, etc.)</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs350,000.00 per monthApplication Question(s):<ul><li>How many years of experience in software architecture role? </li><li>Do you have hands-on experience with cloud platforms such as Azure, AWS, or GCP?</li><li>Have you designed and implemented microservices or API-first architectures in production environments?</li><li>Do you have experience working with AI/ML frameworks such as TensorFlow, PyTorch, or similar?</li><li>Have you led or managed engineering teams in delivering scalable and secure software solutions? If yes, please share size of your team.</li><li>Please share your current salary.</li><li>Please share your expected salary.</li><li>Please share your notice period.</li><li>Please share your reason for leaving the current/last employer.</li></ul>Work Location: In person

Solution Architect – Emerging Technologies

The Ghani IT Solutions

Role Overview:We are seeking a Senior AI Engineer to architect and build a high-performance, custom Voice AI infrastructure. This role focuses on developing an end-to-end real-time audio processing pipeline and an intelligent NLP engine capable of synthesizing complex regulatory data into actionable insights with sub-second latency.Key Responsibilities:- Custom Voice Infrastructure: Develop a proprietary, low-latency audio pipeline integrating Speech-to-Text (STT), Large Language Models (LLMs), and Text-to-Speech (TTS).- Intelligent Data Parsing: Architect agentic workflows to ingest complex documentation and translate technical/legal jargon into plain-language summaries.- Real-time Audio Streaming: Manage full-duplex audio transmission using WebSockets and WebRTC to achieve human-like conversational responsiveness.- Automated Information Retrieval: Build scalable scrapers and API consumers to monitor high-frequency data sources and public registries for real-time updates.- Advanced RAG Systems: Implement sophisticated Retrieval-Augmented Generation (RAG) using Vector Databases to provide the AI with deep contextual awareness.Technical Requirements:- Programming: Expert-level Python; experience with asynchronous programming and high-concurrency systems.- NLP &amp; AI: Proven experience with LangChain, LlamaIndex, and fine-tuning open-source LLMs.- Speech Processing: Experience with real-time transcription (STT) and neural speech synthesis (TTS) engines.- Data Systems: Proficiency with Vector DBs (e.g., Pinecone, Milvus) and SQL/NoSQL databases.- Protocols: Strong understanding of WebSockets, WebRTC, and real-time data streaming.Location: DHA Phase 6, KarachiShift: MorningWork Location: In person

Senior AI & Machine Learning Engineer (Speech & NLP Specialist)

ARRAK CONSULTING SMC PRIVATE LIMITED

We are seeking an AI Developer with deep experience in designing and deploying advanced AI systems. This role is ideal for someone who can lead AI initiatives and build scalable, production-grade intelligent solutions.Position: Senior AI Developer (Expert Level)Location: KARACHI, PAKISTANJob Type: Full-TimeKey Responsibilities:<ul><li>Architect and deploy advanced AI/ML and Deep Learning models at scale</li><li>Lead development of LLMs, Generative AI, and NLP solutions</li><li>Design end-to-end AI pipelines (data ingestion, training, deployment, monitoring)</li><li>Optimize model performance, scalability, and inference efficiency</li><li>Integrate AI systems into enterprise-grade applications and APIs</li><li>Mentor junior developers and contribute to AI strategy</li></ul>Required Skills:<ul><li>Expert-level proficiency in Python</li><li>Strong experience with TensorFlow, PyTorch, or equivalent frameworks</li><li>Hands-on experience with LLMs, Transformers, and Generative AI</li><li>Deep understanding of ML algorithms, deep learning, and data engineering</li><li>Experience with MLOps, model deployment, and CI/CD pipelines</li><li>Strong experience with cloud platforms (Azure, AWS, GCP)</li></ul>Preferred Qualifications:<ul><li>Experience with AI product development at scale</li><li>Knowledge of vector databases, embeddings, and RAG architecture</li><li>Background in computer vision or advanced NLP</li><li>Strong leadership and system design skills</li></ul>What We Offer:<ul><li>Work on cutting-edge AI innovations</li><li>Leadership opportunities and strategic impact</li><li>Competitive salary + performance-based incentives</li><li>High-growth, tech-driven environment</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

Senior / Expert AI Developer - Night Shift

AppedologyPK Recruitment

Job SummaryWe are seeking an experienced and hands-on Development Manager who will report directly to the CIOand lead the design, development, delivery, and continuous improvement of our software platforms.This role requires a technically strong leader who is not only capable of managing and mentoring teams,but also has proven experience in architecting applications end-to-end.The ideal candidate must be able to take ownership of the complete software lifecycle, fromrequirement analysis, solution design, system architecture, database design, API strategy, developmentplanning, cloud infrastructure, DevOps pipelines, security, deployment, scalability, and post-productionsupport.This person will lead and mentor teams working in PHP, Python, and AI-based development, while alsocoordinating with clients and internal stakeholders to ensure successful delivery of robust, scalable,secure, and modern software solutions.Key ResponsibilitiesApplication Architecture &amp;amp; Technical Ownership Architect and design applications end-to-end, covering frontend, backend, database, APIs,infrastructure, integrations, security, and deployment strategy. Define the overall technical vision, solution architecture, and system design for new and existingproducts. Translate business and operational requirements into scalable technical solutions. Make key decisions on architecture patterns, technology stack, modularization, serviceboundaries, and deployment models. Ensure systems are designed for scalability, maintainability, security, performance, faulttolerance, and future extensibility. Create and review technical design documents, architecture diagrams, workflows, andintegration plans. Lead architectural discussions for monolithic, modular, service-oriented, and microservices-based applications where applicable. Ensure proper handling of authentication, authorization, logging, monitoring, error handling,caching, queueing, and third-party integrations.Hands-On Development Leadership Remain actively involved in coding, troubleshooting, code reviews, technical design, andproblem resolution. Support the team in resolving complex technical issues across application, database, server, andcloud layers. Review pull requests and enforce high coding standards, performance standards, and securitybest practices. Guide developers on clean architecture, reusable code, maintainable development practices,and technical documentation. Take ownership of critical modules or high-priority technical tasks when needed.Team Management &amp;amp; Mentorship Manage and mentor a team of PHP, Python, and AI developers. Provide technical guidance, task planning, design direction, and career mentorship todevelopers across experience levels. Build strong engineering discipline around code quality, structured development, estimation,testing, and release management. Conduct regular technical reviews, one-on-ones, knowledge-sharing sessions, and performancediscussions. Help team members improve in architecture thinking, debugging, delivery discipline, andmodern engineering practices.Modern Development Tools &amp;amp; Engineering Practices Drive adoption of modern software engineering tools, frameworks, and workflows. Ensure the team effectively uses:o Git and branch management strategieso CI/CD pipelineso Docker and containerized development/deploymento API documentation toolso Code quality and static analysis toolso Automated testing frameworkso Monitoring, logging, and alerting toolso Secure coding and dependency management practiceso Agile delivery tools and sprint workflowso AI-assisted development tools where appropriate Continuously evaluate and introduce tools and practices that improve productivity, quality, anddeployment reliability.DevOps, Cloud &amp;amp; Infrastructure Lead or closely oversee DevOps processes and deployment pipelines across development,staging, and production environments. Work with cloud-based infrastructure and deployment strategies on:o Microsoft Azureo Amazon Web Services (AWS)o Google Cloud Platform (GCP) Design and support infrastructure decisions related to hosting, scaling, networking, loadbalancing, storage, backups, monitoring, and disaster recovery. Ensure strong environment management, release control, rollback planning, and uptime-focused deployment practices. Support infrastructure automation, server provisioning, environment consistency, and cloudcost-conscious architecture. Collaborate on container orchestration, serverless options, background job processing, andhigh-availability design where needed.AI &amp;amp; Advanced Technical Capability Support and mentor teams developing AI-enabled, automation-driven, and data-assistedapplications. Understand practical implementation of AI solutions including:o API-based AI integrationso LLM-based workflowso automation pipelineso document processingo intelligent search / retrieval systemso model integration into business applications Help define architecture for AI-powered systems with attention to cost, speed, reliability,observability, and security.Database, Integration &amp;amp; System Design Design and review relational and non-relational database structures for performance and long-term maintainability. Guide best practices in:o schema designo indexingo query optimizationo transactionso replication / backup conceptso data integrity Architect secure and well-structured internal and external APIs. Oversee third-party integrations including payment gateways, CRMs, ERPs, cloud services,authentication providers, messaging platforms, and external data sources. Ensure system interoperability, proper API versioning, and integration reliability.Client &amp;amp; Stakeholder Coordination Communicate directly with clients, business teams, and leadership to understand requirementsand convert them into technical execution plans. Participate in client meetings for requirement gathering, technical discussions, progress reviews,risk communication, and solution presentation. Provide technical effort estimates, scope evaluations, dependency mapping, and deliveryplanning. Coordinate between product, business, QA, infrastructure, and development teams to ensuresmooth execution. Present solutions in a clear business-friendly and technically accurate manner.Strategic &amp;amp; Organizational Contribution Work directly with the CIO on engineering roadmap, delivery strategy, architecture standards,technology planning, and team growth. Help define engineering processes, governance standards, security practices, and developmentlifecycle improvements. Identify technical risks early and propose practical mitigation strategies. Contribute to hiring decisions, technical interviews, team structuring, and capability building.Required Technical Skills &amp;amp; Experience Proven experience in a senior technical leadership role such as Development Manager,Technical Lead, Solution Architect, Engineering Manager, or similar. Strong hands-on software development experience in PHP and Python. Demonstrated experience in architecting applications end-to-end, from planning to deploymentand production support. Strong understanding of:o software architectureo application design patternso layered architectureo modular designo service-oriented architectureo microservices conceptso event-driven patterns where applicable Strong experience in designing and building:o web applicationso backend systemso REST APIso integrationso database-driven platformso enterprise-grade business applications Strong knowledge of SQL databases such as MySQL, PostgreSQL, SQL Server, or equivalent. Experience with caching, queues, background jobs, schedulers, and asynchronous processing. Strong understanding of authentication and authorization mechanisms such as OAuth, JWT,SSO, RBAC, and secure session handling. Experience with version control, Git workflows, release management, and team-baseddevelopment practices. Practical experience with CI/CD, build pipelines, deployment automation, and production issuemanagement. Experience with Docker, containerized deployments, and environment standardization. Strong exposure to Azure, AWS, and GCP services and cloud-hosted application deploymentmodels. Good understanding of:o networking basicso SSLo DNSo CDN usageo storage serviceso monitoringo log analysiso application performance tuning Knowledge of application security best practices including secure coding, secrets management,access control, dependency risk management, and common web vulnerabilities. Familiarity with test strategies including unit testing, integration testing, regression testing, andQA collaboration. Experience working with AI/ML-integrated applications, automation systems, or modernintelligent workflows. Strong debugging, root-cause analysis, and system troubleshooting capabilities.Preferred Technical Exposure Experience with Laravel, Django, FastAPI, Flask, or similar frameworks. Exposure to frontend technologies and full-stack architecture understanding. Experience with Redis, RabbitMQ, Kafka, ElasticSearch, or similar supporting technologies. Experience with Kubernetes, serverless architecture, or infrastructure-as-code tools is a plus. Familiarity with observability tools, APM tools, and centralized logging systems. Exposure to multi-tenant applications, enterprise workflows, or regulated-domain software is anadvantage. Experience with AI frameworks, vector databases, LLM orchestration, or intelligent automationplatforms is a plus.Leadership &amp;amp; Business Skills Strong team leadership and mentoring ability. Ability to guide developers across backend, AI, and platform engineering areas. Strong communication and documentation skills. Excellent client-facing ability with confidence in technical and business discussions. Strong project ownership and delivery mindset. Ability to prioritize, delegate, and manage multiple streams of work. Strong decision-making ability with both strategic and practical thinking.Personal Attributes Hands-on and technically strong Architect-level problem solver Delivery-focused and quality-conscious Calm under pressure and able to manage technical complexity Proactive, responsible, and organized Strong ownership mindset Committed to continuous learning and staying current with latest tools and technologiesRole ExpectationThis is not a purely managerial role. The Development Manager is expected to be a technical leader,solution architect, mentor, and delivery owner who can guide teams while also contributing directlywhere needed. The person should be comfortable owning systems from concept to production andensuring that engineering output aligns with business goals and technical excellence.Work Location: In person

SOFTWARE DEVELOPMENT MANAGER

RED CORAL SERVICES

Responsibilities<ul><li>Architect and manage the overall technical ecosystem (Amazon, website, internal systems)</li><li>Build and implement AI-driven workflows for operations, including inventory, forecasting, customer insights, and reporting</li><li>Develop, optimize, and scale dashboards, tools, and automation pipelines</li><li>Maintain and enhance e-commerce platforms (WordPress or custom systems)</li><li>Integrate and manage APIs (Amazon SP-API, shipping, payments, CRM, etc.)</li><li>Identify bottlenecks and implement automation-first solutions</li><li>Collaborate with leadership to translate business needs into scalable systems</li><li>Ensure system performance, security, and reliability</li></ul>Requirements<ul><li>4+ years of experience in software development or system architecture</li><li>Strong expertise in system design and scalable architectures</li><li>Hands-on experience with AI tools, automation, or LLM-based workflows</li><li>Proficiency in backend development (Node.js, Python, PHP, etc.)</li><li>Experience with databases (SQL and/or NoSQL) and API integrations</li><li>Solid understanding of e-commerce platforms (Amazon, WooCommerce, Shopify, or custom)</li><li>Experience with cloud infrastructure (AWS, GCP, etc.)</li><li>Ability to design AI-powered automation to reduce manual effort across operations</li><li>Experience with Amazon SP-API, ERP/inventory systems, or automation tools (n8n, Zapier, Make) is a plus</li><li>Exposure to AI frameworks, RAG systems, or prompt engineering is preferred</li><li>Strong ownership mindset with a practical, execution-focused approach</li></ul>Work Location: In person

Software Architect

Role Overview:We are seeking an exceptionally skilled Senior Full-Stack Developer to lead the development of a mission-critical, high-performance intelligence platform. You will be responsible for building complex, real-time data visualization systems and integrating advanced geospatial layers with a custom AI-driven communication engine. This role requires a &quot;T-shaped&quot; engineer with deep expertise across the entire stack&mdash;from low-latency backends and high-concurrency data processing to sophisticated, interactive frontends.Key Responsibilities:- Full-Stack Architecture: Design and implement scalable, secure, and high-availability web applications from scratch using modern frameworks.- Geospatial Engineering: Develop multi-dimensional GIS (Geographic Information System) layers to visualize dynamic footprints and localized data zones using advanced mapping tools.- Real-Time Data Integration: Architect custom communication gateways and manage full-duplex data streaming via high-speed WebSockets.- Intelligence Dashboards: Build sophisticated, real-time dashboards that aggregate disparate data feeds into intuitive, actionable visual intelligence for monitoring and decision-making.- AI &amp; NLP Integration: Collaborate with AI engineers to integrate LLM-driven insights, automated data parsing, and intelligent alerting systems into the core platform.- Database Management: Design and optimize complex schemas for both relational and geospatial databases to ensure sub-second query performance on large datasets.Technical Requirements:- Frontend: Mastery of React.js or Next.js with expertise in advanced state management and real-time data visualization.- Backend: Advanced proficiency in Node.js (TypeScript) or Python (FastAPI/Django) for building high-concurrency microservices.- Geospatial Tools: Professional-level experience with ArcGIS API for JavaScript, Mapbox GL JS, or OpenLayers.- Databases: Deep knowledge of PostgreSQL with PostGIS for executing complex spatial queries. Familiarity with NoSQL and Redis for real-time caching is a plus.- AI Awareness: Solid understanding of integrating AI/ML models, RAG (Retrieval-Augmented Generation) workflows, and working with Vector Databases.- Infrastructure: Proven experience with Docker, Kubernetes, and managing real-time data streaming or communication protocols on AWS, GCP, or Azure.- Language Proficiency: Expert-level command over multiple programming languages (JavaScript/TypeScript, Python, and SQL).Location: DHA Phase 6, Karachi Shift: MorningWork Location: In person

Senior Full-Stack Developer (Real-Time Systems & Intelligence Platforms)

Explore 194+ Ai architect in Karachi this May. Find roles across top companies and apply now to boost your career.