senior software engineer Jobs in Pakistan

senior software engineer

ai engineer

senior data engineer

senior - data scientist

associate software engineer Jobs in Pakistan

associate software engineer

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>

Software Finder Careers

<div>
 We are seeking a highly skilled Senior AI Engineer with a strong background in building Agentic RAG (Retrieval-Augmented Generation) products and working with AI voice-based features using third-party solutions. You will be responsible for designing, developing and deploying intelligent systems that integrate sophisticated AI voice features and Retrieval-Augmented Generation techniques. This role requires a deep understanding of machine learning, natural language processing and voice interaction technologies.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and Develop Agentic RAG Products: Hands-on development of intelligent systems utilizing Retrieval-Augmented Generation techniques to improve performance and interaction quality.
 </li>
 <li>
 AI Voice Features: Implement and integrate AI voice features (such as speech recognition, text-to-speech and voice-based interaction) using third-party platforms and APIs.
 </li>
 <li>
 End-to-End System Development: Architect and build end-to-end AI solutions that leverage voice recognition, natural language understanding and retrieval-augmented capabilities.
 </li>
 <li>
 Collaborate Across Teams: Work closely with stakeholders to ensure the delivery of scalable and efficient solutions aligned with business goals.
 </li>
 <li>
 Tech Integration: Research and integrate third-party tools and libraries into existing AI systems to extend the capability of voice interactions and RAG models.
 </li>
 <li>
 Performance Monitoring and Troubleshooting: Ensure the deployment and operational performance of AI models, monitoring systems and troubleshooting as needed to guarantee high availability and reliability.
 </li>
 <li>
 Mentoring and Leadership: Provide mentorship and guidance to junior engineers and participate in code reviews, best practices sharing and technical leadership within the Engineering Team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 3+ years of experience in AI/ML engineering or related fields, with a strong focus on natural language processing, machine learning and conversational AI.
 </li>
 <li>
 Proven experience with Agentic RAG models and building retrieval-based systems.
 </li>
 <li>
 Experience integrating AI voice features (speech recognition, text-to-speech and voice assistants) using third-party tools
 </li>
 <li>
 Experience with cloud platforms (AWS, GCP or Azure) for deploying AI systems.
 </li>
 <li>
 Familiarity with voice APIs and SDKs.
 </li>
 <li>
 Expertise in data structures, algorithms and model optimization techniques.
 </li>
 <li>
 Proficiency in integrating third-party AI/ML tools to create robust voice-based features and agentic systems.
 </li>
 <li>
 Strong problem-solving abilities and a passion for building innovative AI products.
 </li>
 <li>
 Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Ability to work in an agile development environment with cross-functional teams.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience working in early-stage startups or growth-stage SaaS companies.
 </li>
 <li>
 Familiarity with tools like Zapier, Segment or similar workflow automation platforms.
 </li>
 <li>
 Exposure to growth hacking or sales engineering
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 <ul>
 <li>
 Be part of an innovative startup poised to make a significant impact in the industry.
 </li>
 <li>
 Work on some of the most exciting and innovative AI products that shape industries.
 </li>
 <li>
 Fast-paced, innovative team that values creativity, collaboration and continuous learning.
 </li>
 <li>
 Collaborative and dynamic work culture focused on growth and learning.
 
 
 </li>
 </ul>
 
 Software Finder
 
 is a leading B2B SaaS marketplace that helps businesses discover, compare, and select the right software solutions. Our platform connects companies with tailored software options based on their unique needs, supported by verified reviews and expert insights.
 
 
 With a growing portfolio of software categories and a global user base, Software Finder is committed to simplifying the software selection process and empowering businesses to make informed decisions.
 
 
 Our team is driven by a shared mission to innovate, collaborate, and deliver value to our users. As we continue to grow, we are always looking for talented individuals who are passionate about technology, customer success, and making an impact.
</div>

Senior AI Engineer / Product Engineer

Liquid Technologies Pakistan

<div>
 
 
 Job Title: Senior AI/ML Engineer
 
 
 
 
 
 
 
 Location:
 
 Karachi (On-site)
 
 
 
 Department:
 
 Artificial Intelligence / Data Science
 
 
 
 
 
 
 Job Summary
 
 
 
 We are seeking an experienced and innovative
 
 Senior AI/ML Engineer
 
 to lead the design, development, and deployment of advanced machine learning and AI-driven solutions. The ideal candidate will have strong expertise in
 
 deep learning, NLP, computer vision, and large-scale ML systems
 
 , with a passion for applying AI to solve complex real-world problems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy
 
 end-to-end ML pipelines
 
 (data preprocessing, model training, evaluation, deployment).
 </li>
 <li>
 Lead R&amp;D in
 
 deep learning, NLP, computer vision, and generative AI
 
 to build state-of-the-art solutions.
 </li>
 <li>
 Collaborate with cross-functional teams (engineering, product, data) to integrate ML models into production systems.
 </li>
 <li>
 Optimize models for
 
 scalability, performance, and efficiency
 
 .
 </li>
 <li>
 Mentor junior AI/ML engineers and contribute to knowledge sharing within the team.
 </li>
 <li>
 Conduct experiments, analyze results, and present insights to stakeholders.
 </li>
 <li>
 Stay updated with the latest advancements in AI/ML and evaluate their applicability.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in
 
 Computer Science, AI, Data Science, or related field
 
 (PhD preferred).
 </li>
 <li>
 4+ years of experience in
 
 AI/ML model development and deployment
 
 .
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 with libraries such as
 
 TensorFlow, PyTorch, Scikit-learn, Hugging Face
 
 .
 </li>
 <li>
 Expertise in one or more areas:
 
 NLP, Computer Vision, Generative AI, RAG pipelines, LLM fine-tuning
 
 .
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, GCP, Azure) and
 
 MLOps tools
 
 (MLflow, Kubeflow, Docker, Kubernetes).
 </li>
 <li>
 Strong background in
 
 data structures, algorithms, and mathematics for ML
 
 .
 </li>
 <li>
 Proven track record of deploying
 
 ML models into production environments
 
 .
 </li>
 </ul>
</div>

Senior AI/ML Engineer

SplashBI

<div><div><div><h3 class="jobSectionHeader">Splash Business Intelligence</h3>
Data Reporting &amp; Analytics Software
<div><div>http://www.splashbi.com</div>
<div>04067979934</div>
<div>http://careersindia@splashbi.com</div>
</div></div></div><div>Job Description

We are looking for an experienced AI/ML engineer to design and develop machine learning models for an innovative AI-powered consumer application that reviews contracts and assists with taxes. You will work closely with domain experts and software engineers to deliver accurate and user-friendly AI solutions.

Key Responsibilities
<ul>
<li>Develop and optimise machine learning models.</li>
<li>Collaborate with domain experts to integrate product-specific knowledge into AI models.</li>
<li>Implement natural language processing (NLP) techniques for document review and extraction.</li>
<li>Ensure scalability, accuracy, and performance of the AI models.</li>
<li>Stay updated on AI advancements and integrate relevant technologies.</li>
</ul>
Required Skills:
<ul>
<li>Proficiency in Python, Pandas, TensorFlow, PyTorch, and Generative AI.</li>
<li>Experience building AI agents using standard frameworks like Langchain, LangGraph, Pydantic AI, N8N, or Crew AI is required.</li>
<li>Strong background in natural language processing (NLP/NLU)</li>
<li>Experience with large language models (LLMs), prompt engineering, and fine-tuning techniques.</li>
<li>Familiarity with data preprocessing and annotation for unstructured data.</li>
<li>Ability to deploy models in a cloud-based environment (GCP, AWS). Proficiency in Vertex AI is preferred.</li></ul></div></div>
 <div></div><ul><div><div><div><h6 class="jobSectionHeader">Career Level</h6>
<div><ul><div>Senior</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader">Experience</h6>
<div><ul><div>5-6 Years</div><div>6-7 Years</div><div>8-9 Years</div></ul></div>
</div></div></div><div></div><div><div><div><h6 class="jobSectionHeader">Qualification</h6>
<div><ul><div>Master Degree</div></ul></div></div></div></div></ul>

Explore 2588+ Senior ai engineer in Pakistan this November. Find roles across top companies and apply now to boost your career.

2588 senior ai engineer jobs IN Pakistan

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer / Product Engineer

Senior AI/ML Engineer

Senior AI/ML Engineer