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senior data engineer Jobs in Islamabad Pakistan

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senior ai engineer

WebDigitalSphere

We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

Funprime technologies Pvt Ltd

Location: Gulberg Green, Islamabad Employment Type: Full-timeJob Description:We are seeking a highly skilled and motivated Senior AI Engineer to design, deploy, and optimize scalable AI systems across text, image, and video domains. The ideal candidate will have hands-on experience with both open-source and custom-trained models, manage on-premise and cloud-based infrastructure, and mentor junior engineers to build next-generation AI solutions.Key Responsibilities:<ul><li>Design, develop, and deploy advanced AI models for diverse applications.</li><li>Optimize model performance and scalability across GPU and serverless environments.</li><li>Manage infrastructure for AI workloads, both locally and on the cloud.</li><li>Collaborate with cross-functional engineering teams to integrate AI into production systems.</li><li>Provide technical leadership, guidance, and mentorship to junior developers.</li></ul>Requirements:<ul><li>Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, etc.).</li><li>Hands-on experience with CUDA, Docker, and GPU-based deployments.</li><li>Familiarity with Large Language Models (LLMs), RAG architectures, and generative AI workflows.</li><li>Experience working with scalable or serverless architectures.</li><li>Basic understanding of Django or similar web frameworks.</li><li>Proven ability to lead, support, and mentor technical teams.</li></ul>Perks &amp; Benefits:<ul><li>Complimentary lunch facility.</li><li>In-house medical doctor available.</li><li>Annual company trips for all employees.</li><li>Eid gifts for all team members.</li><li>Annual Sports Fest.</li><li>Generous annual, sick, and casual leaves.</li></ul>Job Type: Full-timeWork Location: In person

convo

<div>The Sr. AI Engineer will design, architect, and implement advanced AI systems leveraging multi-agent frameworks, RAG pipelines, and LLM orchestration layers. You&rsquo;ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases. 
Key Responsibilities<ul><li>
Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.</li><li>
Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.</li><li>
Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.</li><li>
Develop modular LLM pipelines combining tools, memory, and dynamic context switching.</li><li>
Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.</li><li>
Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.</li><li>
Build autonomous data ingestion and learning loops to continuously improve AI system performance.</li><li>
Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.</li><li>
Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.</li></ul>
Required Skills<ul><li>
Minimum 5+ years of experience</li><li>
Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.</li><li>
Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.</li><li>
Experience deploying AI pipelines in production environments (microservices or distributed systems).</li><li>
Hands-on with vector DBs, semantic embeddings, and knowledge graphs.</li><li>
Solid grasp of LLM evaluation, memory management, and context-aware reasoning.</li><li>
Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).</li><li>
Strong understanding of system design, data pipelines, and cloud-based AI architectures.</li></ul>
Nice to Have<ul><li>
Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.</li><li>
Experience building autonomous agents or self-improving task networks.</li><li>
Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.</li><li>
Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.</li><li>
Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.</li></ul></div>

Convo

<div>
 The Sr. AI Engineer will design, architect, and implement
 
 advanced AI systems
 
 leveraging
 
 multi-agent frameworks
 
 ,
 
 RAG pipelines
 
 , and
 
 LLM orchestration layers
 
 . You&rsquo;ll be responsible for building intelligent, scalable workflows that enable reasoning, contextual understanding, and autonomous task coordination across various enterprise use cases.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Architect and deploy multi-agent AI systems using frameworks like LangGraph, CrewAI, or custom orchestrators.
 </li>
 <li>
 Design and optimize Retrieval-Augmented Generation (RAG) pipelines for contextual reasoning and dynamic knowledge synthesis.
 </li>
 <li>
 Integrate vector databases and semantic search layers (e.g., Pinecone, Weaviate, FAISS) for efficient knowledge retrieval.
 </li>
 <li>
 Develop modular LLM pipelines combining tools, memory, and dynamic context switching.
 </li>
 <li>
 Implement Python-based AI microservices with robust APIs for reasoning, planning, and data processing.
 </li>
 <li>
 Conduct prompt engineering, evaluation, and adaptive tuning to improve model accuracy and reliability.
 </li>
 <li>
 Build autonomous data ingestion and learning loops to continuously improve AI system performance.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI pipelines with product goals and business logic.
 </li>
 <li>
 Research and prototype new frameworks in agentic AI, self-correcting systems, and multi-modal reasoning.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Minimum 5+ years of experience
 </li>
 <li>
 Strong expertise in LLMs, NLP, RAG architectures, and multi-agent orchestration.
 </li>
 <li>
 Proficiency in Python, LangChain, LangGraph, and OpenAI / Hugging Face APIs.
 </li>
 <li>
 Experience deploying AI pipelines in production environments (microservices or distributed systems).
 </li>
 <li>
 Hands-on with vector DBs, semantic embeddings, and knowledge graphs.
 </li>
 <li>
 Solid grasp of LLM evaluation, memory management, and context-aware reasoning.
 </li>
 <li>
 Experience integrating AI tools with backend systems (e.g., GitHub, Azure DevOps, RESTful APIs and FASTAPIs).
 </li>
 <li>
 Strong understanding of system design, data pipelines, and cloud-based AI architectures.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Familiarity with LangGraph, CrewAI, LlamaIndex, or Semantic Kernel.
 </li>
 <li>
 Experience building autonomous agents or self-improving task networks.
 </li>
 <li>
 Exposure to Azure OpenAI, Vertex AI, or Anthropic Claude API.
 </li>
 <li>
 Background in AI evaluation, reinforcement learning from human feedback (RLHF), or tool-augmented reasoning.
 </li>
 <li>
 Ability to mentor teams in prompt engineering, AI safety, and agentic framework design.
 </li>
 </ul>
</div>

Job description:We are looking for a Senior AI Engineer who is passionate about building cutting-edge AI and Machine Learning solutions. This role involves working with advanced technologies like NLP, Generative AI (GenAI), Large Language Models (LLMs), LangChain, GCP, Python, and Computer Vision to develop and deliver impactful AI-driven applications for clients across various industries.Key Responsibilities:<ul><li>Design, build, and deploy scalable AI/ML models and pipelines.</li><li>Work on NLP, GenAI, LLMs, LangChain, and Computer Vision projects.</li><li>Collaborate with data scientists, developers, and product teams to implement innovative solutions.</li><li>Optimize and fine-tune models for performance, scalability, and accuracy.</li><li>Integrate AI models into real-world applications and client systems.</li><li>Stay updated on the latest trends in AI, ML, and data science to enhance solution quality.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, or a related field.</li><li>4&ndash;5 years of professional experience in AI/ML development.</li><li>Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.</li><li>Hands-on experience with NLP, LLMs, LangChain, and GCP (Google Cloud Platform).</li><li>Strong understanding of data preprocessing, model training, and deployment.</li><li>Excellent communication, teamwork, and problem-solving skills.</li></ul>Why Join Us:<ul><li>Competitive USD-based salary.</li><li>Opportunity to work with global clients and next-generation AI technologies.</li><li>Collaborative, innovative, and growth-oriented environment.</li></ul>Job Type: Full-timeWork Location: In person

Lead AI Engineer

KONISHI

Senior Software Engineer &ndash; AI Orchestration &amp; InfrastructureLocation: Islamabad (Remote Option Available for the Right Candidate)Employment: Full-timeAbout UsWe are building Konishi, an Agentic AI platform that automates critical parts of the insurance underwriting process. Our product focuses on extracting data from complex insurance documents, populating structured templates, and integrating seamlessly with enterprise systems.Underwriters currently spend about 800 hours per year on administrative tasks. Our mission is to recover this time, enabling them to focus on high-value decision-making. This is an opportunity to join at an early stage, where your work will have a direct and lasting impact on both the product and the company.The RoleAs a Founding Software Engineer, you will be responsible for building the backbone of our agentic AI system. You will work closely with the founder, who leads AI workflow design and integration, to:<ul><li>Build and maintain the agent orchestration layer, including state management, multi-agent workflows, retries, and parallel execution.</li><li>Set up secure and scalable infrastructure for on-premise, hybrid, and cloud deployments.</li><li>Ensure observability and traceability of agent operations through logging, metrics, and debugging tools.</li><li>Design and implement integrations with enterprise insurance systems such as email servers, underwriting software, and document workflows.</li><li>Apply best practices in software development, deployment, and security to meet the requirements of regulated enterprise environments.</li></ul>Responsibilities<ul><li>Develop and own the orchestration layer for multi-agent workflows.</li><li>Architect and implement scalable infrastructure using containerization (Docker/Kubernetes) and cloud services.</li><li>Design APIs and backend services to connect AI workflows with external systems.</li><li>Implement monitoring, logging, and debugging pipelines to ensure reliability and transparency.</li><li>Ensure data security through audit logging, role-based access control, and encryption in transit and at rest.</li><li>Collaborate closely with the founder to rapidly iterate on evolving product requirements.</li><li>Establish and maintain best practices in code quality, testing, and deployment.</li><li>Contribute to technical discussions with clients.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Software Engineering, Computer Science, or a related field with a strong academic record.</li><li>Minimum 5 years of professional software engineering experience (backend, infrastructure, or platform engineering).</li><li>Strong proficiency in Python and JavaScript, including asynchronous programming and API development.</li><li>Experience with cloud platforms and container orchestration (Docker/Kubernetes).</li><li>Familiarity with agentic AI design patterns (orchestrator-worker, hierarchical agents, parallel execution).</li><li>Experience integrating backend systems with enterprise software (APIs, email systems, Excel/Word automation, CRMs).</li><li>Strong understanding of security best practices, including authentication, encryption, and access control.</li><li>Demonstrated ability to deliver high-quality systems quickly.</li></ul>Nice to Have<ul><li>Experience with LangChain, LangGraph, or LlamaIndex.</li><li>Familiarity with MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication protocols.</li><li>Prior exposure to regulated industries such as insurance, banking, or healthcare.</li><li>Knowledge of observability frameworks (OpenTelemetry, Prometheus, Grafana).</li></ul>Why Join Us?<ul><li>High-impact role: Build the core backbone of a product that is redefining insurance technology.</li><li>Ownership: Take responsibility for critical architecture decisions as a founding engineer.</li><li>Growth: Work at the intersection of AI, backend engineering, and enterprise integration.</li><li>Mission-driven: Contribute to transforming how underwriters operate and deliver value.</li><li>Skin in the game: Equity options may be available for the right candidate.</li></ul>Join Konishi and help build the future of insurance!Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthApplication Question(s):<ul><li>Tell me about your proudest accomplishment.</li><li>Can you give me an example of when you had to be resourceful to solve a unique problem?</li></ul>Work Location: In person

Founding Software Engineer - AI Orchestration & Infrastructure

Simcoe IT

Role DescriptionWe&rsquo;re building AI-powered tooling and need a senior engineer to own the blockchain layer&mdash;smart contracts, node/indexing infra, and on-chain integrations that feed our models and products. Security expertise is a plus but not required.We care most about your ability to ship robust blockchain systems.Qualifications<ul><li>5+ years in backend/systems/software; 3+ years shipping on-chain (Aptos/Sui, Rust, EVM).</li><li>Strong in Rust (preferred for Solana/Aptos/Sui) or TypeScript/Go (EVM + infra).</li><li>Experience with indexers and Postgres.</li><li>Comfort with nodes/RPC/mempool mechanics and production ops.</li><li>Clear, pragmatic communication and ownership mindset.</li><li>Tooling chops: Foundry/Hardhat, Aptos/Sui CLI, Pyth/Chainlink consumers.</li></ul>Nice to Have<ul><li>Experience of all three: Move, Rust and EVM.</li><li>Familiarity with cryptography primitives, ABI/BCS, and data streaming.</li><li>Knowledge of security vulnerabilities in blockchain applications</li></ul>Job Type: Full-timePay: Rs550,000.00 - Rs600,000.00 per monthWork Location: In person

Blockchain Secuity Tools Developer

Explore 408+ Senior ai engineer in Islamabad Pakistan this November. Find roles across top companies and apply now to boost your career.

408 senior ai engineer jobs IN Islamabad Pakistan

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Lead AI Engineer

Founding Software Engineer - AI Orchestration & Infrastructure

Blockchain Secuity Tools Developer