planning engineer

ai developer

civil engineer finishing Jobs in Islamabad

civil engineer finishing

construction site engineer Jobs in Islamabad

construction site engineer

design engineer

ai engineer

Datamatics Technologies

<div>
 
 Role Overview
 
 
 Datamatics is seeking a highly motivated
 
 AI Engineer
 
 with a strong focus on designing, developing, and deploying production-grade
 
 LLM-powered applications
 
 . The ideal candidate will have hands-on experience with modern GenAI frameworks such as LangChain and LangGraph, and a deep understanding of Retrieval-Augmented Generation (RAG) architectures.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 <ul>
 <li>
 Design, develop, and deploy scalable AI applications using Python and modern GenAI frameworks (e.g., LangChain, LangGraph, LlamaIndex)
 </li>
 <li>
 Build production-ready LLM applications for real-world use cases across public health and enterprise domains
 </li>
 <li>
 Integrate state-of-the-art generative AI models to enhance product capabilities and consulting offerings
 </li>
 </ul>
 
 RAG &amp; NLP Engineering
 
 <ul>
 <li>
 Develop and optimize
 
 Retrieval-Augmented Generation (RAG)
 
 pipelines using advanced techniques such as:
 <ul>
 <li>
 Semantic search
 </li>
 <li>
 Hybrid search
 </li>
 <li>
 Re-ranking strategies
 </li>
 </ul>
 </li>
 <li>
 Apply NLP concepts including embeddings, Named Entity Recognition (NER), and text processing to improve model performance
 </li>
 <li>
 Fine-tune retrieval and generation strategies for accuracy, latency, and scalability
 </li>
 </ul>
 
 Architecture &amp; Scalability
 
 <ul>
 <li>
 Collaborate with Data Engineers and Data Scientists to design scalable, high-performance AI solutions
 </li>
 <li>
 Ensure smooth productionization of AI models in collaboration with MLOps teams
 </li>
 <li>
 Deploy and manage AI services using Kubernetes and containerization technologies
 </li>
 <li>
 Work with cloud platforms (AWS, Azure, or GCP) and big data ecosystems
 </li>
 </ul>
 
 Innovation &amp; Continuous Learning
 
 <ul>
 <li>
 Stay updated with the latest advancements in AI, LLMs, and NLP
 </li>
 <li>
 Contribute to innovation by experimenting with emerging tools, frameworks, and methodologies
 </li>
 <li>
 Drive adoption of best practices in AI engineering and system design
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field (with focus on AI/ML/NLP)
 </li>
 <li>
 1&ndash;3 years of hands-on experience in AI/ML application development
 </li>
 <li>
 Strong programming skills in Python
 </li>
 </ul>
 
 Required Skills
 
 <ul>
 <li>
 Experience with GenAI frameworks such as LangChain, LangGraph, and/or LlamaIndex
 </li>
 <li>
 Strong understanding of:
 <ul>
 <li>
 LLMs and prompt engineering
 </li>
 <li>
 RAG architectures
 </li>
 <li>
 Embeddings and vector databases
 </li>
 </ul>
 </li>
 <li>
 Familiarity with NLP techniques such as NER, semantic search, and text processing
 </li>
 <li>
 Experience with:
 <ul>
 <li>
 Kubernetes and containerization (Docker)
 </li>
 <li>
 Cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Big data tools (e.g., Apache Spark) and data lake architectures
 </li>
 </ul>
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience building production-grade AI/LLM applications
 </li>
 <li>
 Exposure to MLOps practices and model lifecycle management
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Understanding of scalable system design and microservices architecture
 </li>
 </ul>
</div>

AI Engineer

Agency VA

Job SummaryAgency VA Pakistan is seeking a skilled and forward-thinking AI Engineer with 2+ years of experience to design, develop, and deploy advanced artificial intelligence solutions that improve business operations and enhance internal systems. The ideal candidate will have hands-on experience in machine learning, natural language processing, conversational AI, and large language model integrations, with a strong command of Python and modern AI frameworks.The selected candidate will play a key role in developing AI-powered tools, workflow automation systems, intelligent assistants, and data-driven solutions to support business growth across multiple departments.Key Responsibilities<ul><li>Design, develop, and deploy AI-driven applications aligned with organizational requirements</li><li>Build and optimize intelligent chatbots and virtual assistants for internal and external use</li></ul>Develop NLP models for:<ul><li>Intent recognition</li><li>Entity extraction</li><li>Sentiment analysis</li><li>Automated response generation</li></ul>Integrate large language models (LLMs) using APIs such as:<ul><li>OpenAI</li><li>Claude</li><li>Other enterprise AI platforms</li></ul>Create scalable AI workflows using tools such as:<ul><li>LangChain</li><li>Vector databases</li><li>Retrieval-augmented generation (RAG)</li></ul>Collaborate with product, operations, and engineering teams to identify automation opportunitiesImprove AI model performance for:<ul><li>Accuracy</li><li>Speed</li><li>Reliability</li></ul>Deploy and monitor AI models in production environmentsMaintain technical documentation for AI systems and workflowsResearch and implement emerging AI technologies that can improve company efficiencyRequired Skills &amp; QualificationsMinimum 2+ years of experience in AI Engineering, NLP, or Machine Learning rolesBachelor&rsquo;s degree in:<ul><li>Computer Science</li><li>Artificial Intelligence</li><li>Data Science</li><li>Software Engineering &amp; Related field</li></ul>Strong proficiency in PythonExperience with AI/ML libraries such as:<ul><li>TensorFlow</li><li>PyTorch</li><li>Scikit-learn</li></ul>Hands-on experience with:<ul><li>NLP model development</li><li>LLM integrations</li></ul>Prompt engineeringExperience working with:<ul><li>REST APIs</li></ul>Backend system integrationsStrong understanding of:<ul><li>NLP pipelines</li><li>Deep learning</li><li>Model optimization</li></ul>Excellent analytical and problem-solving skillsStrong verbal and written communication skillsPreferred QualificationsExperience with cloud platforms such as:<ul><li>AWS</li><li>Azure</li></ul>Google CloudKnowledge of:<ul><li>Vector databases</li><li>RAG pipelines</li><li>AI orchestration tools</li></ul>Experience with Docker or containerized deploymentsFamiliarity with agile development environmentsContributions to AI or open-source projects are an advantageWhat We OfferCareer growth in a rapidly expanding technology environmentExposure to cutting-edge AI tools and enterprise systemsCollaborative and innovation-driven workplaceOpportunity to work with international teamsWork LocationThis position is on-site at Agency VA Pakistan Office, 1st Floor, Executive Complex, G-8 Markaz, Sector G-8, Islamabad, with occasional collaboration across regional and global teams.Pay: From Rs200,000.00 per monthApplication Question(s):<ul><li>This is a full time night shift position with working timings 6 PM to 3 AM Pakistan Standard Time and working days Monday to Friday. Our office is located in G-8 Markaz, Sector G-8, Islamabad. Are you comfortable working in this arrangement?</li><li>What is your current Salary?</li><li>What is your expected Salary?</li></ul>Experience:<ul><li>AI Automation: 3 years (Required)</li></ul>Work Location: In person

Vizzwebsolutions Pvt Ltd

Role OverviewWe are seeking a highly qualified Principal AI Engineer to own and architect our core intelligence and AI processing pipelines. You will be the technical authority on how we integrate, scale, and optimize artificial intelligence across our entire platform.This is not a prompt-jockey or wrapper-developer role. You will be responsible for architecting end-to-end, multi-modal solutions that push the boundaries of what is possible with applied AI. You will design agentic workflows, build complex user profiling systems to dynamically augment LLM context windows, and create proprietary intelligence layers that serve as competitive moat.Key Responsibilities● End-to-End AI Architecture: Design, build, and deploy production-grade AI systems, moving from idea inception to scalable AWS infrastructure. Bridge the gap between AI research and highly reliable software engineering.● Agentic &amp; Multi-Modal AI: Architect and implement autonomous, multi-agent systems that can reason, plan, use tools, and execute complex workflows across text, image, and data modalities.● Custom Intelligence &amp; Deep Context: Build sophisticated user profiling mechanisms and advanced RAG (Retrieval-Augmented Generation) pipelines to dynamically inject hyper-personalized context into foundational models.● Advanced Prompt Engineering &amp; Optimization: Lead the organization instate-of-the-art prompt design, few-shot prompting, chain-of-thought reasoning, and structured output generation.● Cost &amp; Performance Optimization: Implement intelligent model routing, caching strategies, and token management to ruthlessly optimize inference costs, system latency,and overall API expenditure.● Developer Productivity &amp; Platform AI: Build internal tools, CI/CD pipelines for AI(LLMOps), and automated evaluation frameworks to accelerate the development lifecycle and empower the broader engineering team to safely leverage AI.● Cross-Functional Leadership: Serve as the technical visionary for AI , mentoring full-stack and front-end developers, and partnering with product leadership to identify novel ways AI can solve business problems.Ideal Qualifications &amp; Skills● Experience: 8-10+ years of software engineering experience, with at least 3-5 years explicitly focused on applied Machine Learning, NLP, or Generative AI in production environments.● Core Stack: Expert-level proficiency in Python and Node.js/TypeScript.● AI &amp; LLM Ecosystem: Deep hands-on experience with modern AI orchestration frameworks and integrating with frontier models (OpenAI, Anthropic, open-source equivalents).● Data &amp; Retrieval: Strong expertise in vector databases, embedding strategies, semantic search, and knowledge graph integration.● Cloud &amp; Infrastructure: Proven track record of designing scalable, distributed systems on AWS. Experience with containerization and serverless architectures.● LLMOps &amp; Evaluation: Experience building evaluation pipelines to measure AI accuracy, hallucination rates, and performance. Familiarity with AI observability and monitoring tools.● Vision: A passion for building novel AI solutions and a pragmatic approach to balancing cutting-edge research with maintainable, production-ready code.<ul><li>We Offer:</li><li>Competitive salary package.</li><li>Friendly and collaborative work environment.</li><li>Growth and learning opportunities in a dynamic IT company.</li><li>Job Type: Full-time</li><li>Performance Bonus</li><li>Increments</li><li>Learning Environment</li><li>CC Fund</li><li>EOBI</li><li>Health Insurance</li></ul>For More Details, Contact Us:03115333221/0334-5522981https://www.vizzwebsolutions.com/Pay: Up to Rs300,000.00 per monthWork Location: In person

Principal AI 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>

Agentic AI Engineer

<div>
 
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 
 
 
 
 Role Title:
 
 Principal AI Engineer (LLM Agents &amp; Orchestration)
 
 Team:
 
 Chatly Engineering
 
 Focus:
 
 Building Autonomous "Super Agents"
 
 
 
 Who We Are
 
 
 
 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.
 
 
 If you&rsquo;re excited about shaping the next wave of AI-powered creativity, Vyro is the place to be.
 
 
 
 About The Role
 
 
 
 We are looking for a deep expert in Large Language Models (LLMs) to lead the architectural development of our new "Super Agent" 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.
 
 
 
 Key Responsibilities
 
 
 
 <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 "hands" 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>
 
 Technical Requirements
 
 
 
 <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>

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

Python Technologies

Full Stack AI EngineerCompany: Python Technologies Location: DHA 2 Islamabad (On-site) Job Type: Full-time Experience Level: Mid to SeniorAbout UsPython Technologies is a fast-growing digital agency delivering AI automation, Software solutions to 70+ brands across North America, GCC, Australia, and the UK. We build production-grade AI products &mdash; from RAG pipelines and voice agents to multi-tenant SaaS platforms &mdash; for clients ranging from healthcare to insurance to HR tech.We're looking for a Full Stack AI Engineer who can ship end-to-end: backend APIs, modern frontends, and the AI layer in between.What You'll Do<ul><li>Design and build full-stack AI applications using FastAPI, NestJS, and Next.js</li><li>Develop RAG pipelines and LLM-powered systems using LangChain, LangGraph, and Pinecone</li><li>Integrate voice AI agents (Retell AI, VoxImplant) and automation workflows (n8n, Zapier)</li><li>Build and maintain MongoDB, PostgreSQL, and vector database schemas</li><li>Deploy and manage applications on Digital Ocean, AWS, and Oracle Cloud (PM2, Nginx, SSL)</li><li>Work directly with international clients across discovery, scoping, and delivery</li><li>Write clean, well-documented code and contribute to architecture decisions</li><li>Collaborate with designers, PMs, and other engineers across multiple concurrent projects</li></ul>What We're Looking ForTechnical skills<ul><li>3+ years building production web applications (full stack)</li><li>Strong proficiency in Python (FastAPI) and Node.js (NestJS or Express)</li><li>Solid frontend skills with React and Next.js, plus Tailwind CSS</li><li>Hands-on experience with LLM APIs (OpenAI, Anthropic, Groq) and prompt engineering</li><li>Experience building RAG systems with vector databases (Pinecone, Weaviate, or similar)</li><li>Comfortable with MongoDB and at least one SQL database</li><li>Familiarity with Docker, CI/CD, and Linux server administration</li><li>Git-based collaborative development</li></ul>Bonus points for<ul><li>Experience with voice AI platforms (Retell AI, Vapi, ElevenLabs)</li><li>n8n, Zapier, or Make workflow automation</li><li>LangChain / LangGraph</li><li>WhatsApp Business API or ManyChat</li><li>Multi-tenant SaaS architecture</li><li>CRM integrations (Pipedrive, Salesforce, HubSpot)</li></ul>Communication Requirements (Important)Excellent written and spoken English is mandatory. You will interact directly with clients in the US, Canada, UK, Australia, and the GCC &mdash; through Slack, email, Loom videos, and live calls. We need someone who can:<ul><li>Explain technical concepts clearly to non-technical stakeholders</li><li>Write professional client-facing emails, proposals, and documentation</li><li>Lead discovery calls and walk clients through demos confidently</li><li>Respond to client feedback with clarity and professionalism</li></ul>If English communication is not a strong point for you, this role is not the right fit.What We Offer<ul><li>Competitive salary based on experience</li><li>Exposure to cutting-edge AI projects and international clients</li><li>Flexible working arrangements (on-site or hybrid)</li><li>Opportunity to grow into a senior or lead role</li><li>Direct mentorship from the founding team</li><li>Performance-based bonuses</li></ul>How to ApplySend your application with:<ul><li>Updated CV/resume</li></ul>Job Type: Full-timePay: Rs100,000.00 per monthWork Location: In person

Full Stack AI Engineer

Explore 196+ Ai engineer in Islamabad this May. Find roles across top companies and apply now to boost your career.

196 ai engineer jobs In Islamabad

AI Engineer

AI Engineer

Principal AI Engineer

Agentic AI Engineer

Agentic AI Engineer

Applied AI Engineer (Automation)

Full Stack AI Engineer