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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

AI Engineer

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

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
 
 
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</div>

Applied AI Engineer (Automation)

Volga Partners

<div>Office Location: House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly salary for Full-Time: PKR 150,000 - PKR 400,000
Work Setup: Onsite
About Volga Partners
Volga Partners is a global leader in generative AI (GenAI) innovation, building and deploying advanced AI solutions that drive real-world business transformation. We design intelligent systems, custom large language model (LLM) applications, and next-generation automation that enable organizations to operate smarter, faster, and more efficiently.
Our mission is to make GenAI practical, scalable, and impactful. We go beyond implementation&mdash;specializing in refining and enhancing LLMs with high accuracy across complex, high-value domains including finance, healthcare, legal, and technology. By tailoring models to specific use cases, we enable our partners to achieve measurable outcomes and unlock new growth opportunities.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners brings together diverse perspectives, cultures, and expertise. This diversity fuels innovation and allows us to deliver solutions that are both globally relevant and locally effective.
At Volga Partners, you&rsquo;ll join a collaborative, forward-thinking team solving complex problems, exploring new frontiers in artificial intelligence, and shaping the future of intelligent technology.
Overview
We are hiring a mid-level AI Engineer to build and ship AI-powered features end-to-end.
This is not a junior role &mdash; candidates must have hands-on experience delivering production-ready AI solutions and the ability to independently execute in a fast-paced environment.
You will work closely with founders and product teams to develop intelligent systems such as copilots, chatbots, and automation tools, while ensuring performance, scalability, and reliability. 
Key Responsibilities<ul><li>
Build and ship AI-powered features (chatbots, copilots, automation tools)
</li><li>Design and implement RAG pipelines using embeddings and vector search
</li><li>Write and optimize prompts and system instructions
</li><li>Integrate LLM APIs (OpenAI, Anthropic, etc.) into production systems
</li><li>Develop backend services (Python / Node.js) to support AI workflows
</li><li>Work with real-world data (documents, logs, APIs)
</li><li>Improve system reliability through evaluations, testing, and iteration
</li><li>Debug issues such as hallucinations, latency, and cost inefficiencies
</li><li>Collaborate closely with founders and product team on product direction
</li></ul>Requirements<ul><li>
2+ years of experience in Machine Learning or AI-related roles
</li><li>Strong coding skills in Python or JavaScript
</li><li>Hands-on experience working with LLM APIs
</li><li>Experience building RAG pipelines or agent-based systems
</li><li>Solid understanding of ML fundamentals (fine-tuning is a plus)
</li><li>Proven ability to build and ship production-ready systems
</li></ul>Tech Stack<ul><li>
Python, Node.js
</li><li>OpenAI / Anthropic APIs
</li><li>Vector databases (Pinecone, Chroma)
</li><li>React / Next.js
</li><li>AWS / Vercel
</li><li>LangChain / LlamaIndex
</li><li>Prompt engineering
</li><li>Embeddings + vector search
</li><li>API design and backend systems</li></ul> 
Nice to Have<ul><li>
Experience with LLM evaluation, fine-tuning, or model optimization
</li><li>Exposure to agent frameworks or multi-step reasoning systems
</li><li>Domain experience in finance, healthcare, legal, or other high-accuracy environments</li></ul>
What we Offer<ul><li>
Salary: PKR 150,000 - PKR 400,000 PKR/month (based on experience and alignment with role expectations)</li><li>
Opportunity to own and shape a meaningful internal product</li><li>
Collaborative, low-bureaucracy environment</li><li>
Exposure to cutting-edge AI and automation technologies</li></ul></div>

AI Engineer - AI/LLM (Backend) | Pakistan

Cplus Soft (Pvt) Ltd

We are hiring a Senior AI Engineer to design and build a next-generation agentic OCR and document processing system. You will own the end-to-end development of a multi-agent pipeline that extracts, validates, and delivers structured data from business documents using AI.This role goes beyond traditional OCR &mdash; you will architect intelligent, self-healing systems that improve accuracy and reduce manual review through targeted AI workflows.Key Responsibilities<ul><li>Design and build a multi-layer AI agent pipeline for document processing</li><li>Develop OCR extraction, classification, and schema mapping systems</li><li>Implement confidence scoring and automated validation logic</li><li>Build self-healing workflows for low-confidence data extraction</li><li>Orchestrate workflows using LangGraph and AWS Step Functions</li><li>Develop and integrate MCP-based AI tools and APIs</li><li>Optimize OCR engines for accuracy, cost, and performance</li><li>Build scalable infrastructure using AWS, Docker, and Terraform</li><li>Ensure system reliability with monitoring, testing, and observabilityRequirements</li><li>5+ years of Python development (production-level)</li></ul>Good to Have<ul><li>Computer vision / OpenCV experience</li><li>Document classification &amp; schema mapping</li><li>Human-in-the-loop (HITL) systems</li><li>LLM observability tools (LangSmith, Arize, etc.)</li><li>Experience with logistics, manufacturing, or document-heavy industries</li><li>2+ years working with LLMs and AI systems</li><li>Experience with LangChain / LangGraph or similar frameworks</li><li>Strong hands-on experience with AWS (Bedrock, Lambda, S3, ECS, Step Functions)</li><li>Solid understanding of OCR and document processing systems</li><li>Experience building APIs (FastAPI) and working with PostgreSQL / OpenSearch</li><li>Familiarity with Docker, Terraform, and cloud infrastructure</li><li>Strong English communication skills (B2+)</li></ul>Application Question(s):<ul><li>What is your current and expected salary?</li><li>Can you join on an immediate basis?</li></ul>Work Location: In person

Senior AI Engineer – Agentic OCR & Document Intelligence

Location: Pakistan (On-site/Hybrid &ndash; Executive Complex, G-8 Markaz, Sector G-8, Islamabad)Department: Technology / AI EngineeringExperience Required: 2&ndash;5 YearsJob SummaryWe are seeking a highly skilled and innovative AI &amp; Automation Engineer to design, develop, and deploy intelligent automation solutions that enhance business efficiency and scalability. The ideal candidate will have hands-on experience with AI technologies, workflow automation tools, and modern APIs, and will play a key role in integrating AI-driven systems into our business processes.Key Responsibilities<ul><li>Design, develop, and implement AI-powered automation solutions across various business functions</li><li>Build and optimize workflows using automation platforms (e.g., Zapier, Make, n8n, etc.)</li><li>Develop and integrate AI models and APIs (e.g., LLMs, NLP systems) into internal tools and client-facing solutions</li><li>Collaborate with cross-functional teams (HR, Operations, Sales, Engineering) to identify automation opportunities</li><li>Create intelligent chatbots, agents, and assistants to streamline internal and external processes</li><li>Monitor, maintain, and improve automation systems for performance, reliability, and scalability</li><li>Ensure data security, compliance, and best practices in AI deployments</li><li>Document processes, workflows, and system architectures</li></ul>Technical Requirements<ul><li>Strong proficiency in Python and/or JavaScript</li><li>Hands-on experience with AI/ML frameworks and APIs (e.g., OpenAI, Claude, LangChain, etc.)</li><li>Experience with workflow automation tools (Zapier, Make, n8n, Power Automate)</li><li>Knowledge of REST APIs, webhooks, and system integrations</li><li>Familiarity with databases (SQL/PostgreSQL)</li><li>Experience with prompt engineering and LLM optimization techniques</li><li>Understanding of cloud platforms (AWS, Azure, or GCP) is a plus</li></ul>Preferred Qualifications<ul><li>Experience building AI agents, chatbots, or RPA solutions</li><li>Familiarity with vector databases (e.g., Pinecone, Weaviate, FAISS)</li><li>Knowledge of DevOps practices and CI/CD pipelines</li><li>Exposure to frontend frameworks (React, Vue) is a plus</li><li>Strong problem-solving and analytical thinking skills</li></ul>Soft Skills<ul><li>Excellent communication and collaboration abilities</li><li>Ability to translate business needs into technical solutions</li><li>Strong ownership mindset and attention to detail</li><li>Adaptability in a fast-paced, evolving AI landscape</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and automation projects</li><li>Collaborative and growth-oriented work environment</li><li>Exposure to international clients and real-world AI applications</li><li>Competitive salary and performance-based incentives</li></ul>Pay: From Rs250,000.00 per monthApplication Question(s):<ul><li>What is your current Salary?</li><li>What is your expected Salary?</li><li>Our office is located in G-8 Markaz, Islamabad with working days Monday-Friday and timings 6 PM to 3 AM. The option for remote work is not available. Are you comfortable working in this arrangement?</li></ul>Work Location: In person

AI & Automation Engineer

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