senior software engineer Jobs in Pakistan

senior software engineer

software engineer

ai engineer

principal software engineer Jobs in Pakistan

principal software engineer

senior devops engineer

senior ai engineer

92Techno

<p>We are seeking a highly skilled <b>Senior AI Engineer </b>in Lahore to lead the data and AI foundations that will drive our next phase of innovation. This role is ideal for someone who thrives in building scalable AI systems, shaping enterprise strategies, and delivering impactful AI solutions across the organization.</p><p><b>Key Responsibilities</b></p><ul><li>Define and implement the enterprise data strategy to enable AI at scale.</li><li>Design and build scalable data platforms and pipelines (batch and streaming).</li><li>Develop, deploy, and optimize ML/AI and LLM-based solutions.</li><li>Establish frameworks for data governance, lineage, quality, security, and responsible AI.</li><li>Collaborate with business teams to identify and deliver high-value AI use cases.</li><li>Advocate and promote data, AI, and engineering best practices across the organization.</li></ul><p><b>Requirements</b></p><ul><li>6&ndash;10+ years of experience in Data Engineering, ML Engineering, or AI Engineering.</li><li>Strong proficiency in <b>Python</b>, <b>SQL</b>, and major cloud platforms (<b>AWS, Azure, or GCP</b>).</li><li>Experience working with <b>Spark</b>, feature stores, and <b>Lakehouse architectures</b>.</li><li>Hands-on expertise in <b>LLMs, vector databases, and RAG pipelines</b>.</li><li>Solid understanding of <b>data governance, data security, DevOps/MLOps</b>, and enterprise data frameworks.</li></ul><p>Job Type: Full-time</p><p>Pay: Rs450,000.00 - Rs500,000.00 per month</p><p>Application Question(s):</p><ul><li>Do you have 6+ years of experience in Data Engineering, ML Engineering, or AI Engineering?</li></ul><p>Work Location: In person</p>

Senior AI Engineer

CareCloud

<div></div><div><p>Department: INFORMATION TECHNOLOGY Experience: 3 YearsDeadline: December 20, 2025Location: BAGH, Pakistan</p><div><h4 class="jobSectionHeader"><b>
Job Profile</b></h4><div></div><div><div><b>
Position Overview</b></div>
<div>We are seeking a highly skilled <b>Senior AI Engineer</b> to join our growing AI &amp; Innovation team. The ideal candidate will be responsible for designing, developing, deploying, and maintaining advanced AI and machine learning solutions that enhance our healthcare technology ecosystem. This role requires deep technical expertise, strategic thinking, and the ability to lead AI initiatives from concept to production.</div>
<p></p><div><b>Key Responsibilities</b></div>
<ul><li>Develop and deploy machine learning, deep learning, NLP, and Generative AI models for enterprise-level healthcare applications.</li>
<li>Build scalable AI pipelines, integrate models into production systems, and optimize performance.</li>
<li>Work closely with cross-functional teams &mdash; including engineering, product, and data teams &mdash; to develop AI-driven features and solutions.</li>
<li>Conduct data analysis, feature engineering, and model evaluation using best practices.</li>
<li>Research and implement state-of-the-art algorithms to improve automation, accuracy, and system intelligence.</li>
<li>Lead technical discussions, mentor junior AI engineers, and contribute to architectural decisions.</li>
<li>Ensure AI systems comply with security, privacy, and regulatory standards relevant to healthcare.</li>
</ul>
<p></p><div><b>Requirements</b></div>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li>
<li>3+ years of hands-on experience in AI/ML engineering, model development, and deployment.</li>
<li>Strong proficiency in Python and frameworks such as TensorFlow, PyTorch, scikit-learn, and HuggingFace Transformers.</li>
<li>Solid understanding of Generative AI, LLMs, vector databases, embeddings, and retrieval-augmented generation (RAG).</li>
<li>Experience with MLOps tools, containerization (Docker), and cloud platforms (AWS, Azure, or GCP).</li>
<li>Knowledge of data pipelines, ETL workflows, and APIs.</li>
<li>Strong problem-solving, analytical, and communication skills.</li>
<li>Ability to work independently and collaboratively in a fast-paced environment.</li>
</ul>
</div><div></div><div><h4 class="jobSectionHeader"><b>Tools / Skills</b></h4><div></div><div><ul>
<li>Programming languages: Python (primary), knowledge of others is a plus</li>
<li>AI/ML Frameworks: TensorFlow, PyTorch, scikit-learn, HuggingFace Transformers</li>
<li>Cloud Platforms: AWS, Azure, or Google Cloud Platform (GCP)</li>
<li>Containerization and Orchestration: Docker, Kubernetes (optional)</li>
<li>Databases: SQL, NoSQL, vector databases (e.g., Pinecone, Weaviate)</li>
<li>Data processing: ETL tools, data pipelines</li>
<li>Version control: Git and related tools</li>
<li>MLOps tools: MLflow, Kubeflow, or similar (preferred)</li>
<li>API development and integration</li></ul></div></div></div></div><p></p>
<br><div><h5 class="jobSectionHeader"><b>Additional Information</b></h5><div><div><div><b>
Total Position(s)
</b></div><div>6 Positions</div></div><div><div><b>
Gender</b></div><div>
Does not matter</div></div><div><div><b>
Minimum Education</b></div><div>
Bachelors Degree</div></div><div><div><b>
Degree Title</b></div><div>
Bachelors Degree</div></div><div><div><b>
Shift</b></div><div>
Evening</div></div><div><div><b>
Nature of Job</b></div><div>
Work From Office</div></div></div></div>

Senior Ai Engineer

MTBC CareCloud

<p><b>Position Overview</b></p><p>We are seeking a highly skilled <b>Senior AI Engineer</b> to join our growing AI &amp; Innovation team. The ideal candidate will be responsible for designing, developing, deploying, and maintaining advanced AI and machine learning solutions that enhance our healthcare technology ecosystem. This role requires deep technical expertise, strategic thinking, and the ability to lead AI initiatives from concept to production.</p><p><b>Key Responsibilities</b></p><ul><li>Architect scalable solutions: select appropriate models, data flows, infrastructure, deployment patterns to deliver production&#8209;grade generative AI in a regulated healthcare environment.</li><li>Work closely with product leadership, clinical informatics, compliance and operations to identify high&#8209;value use cases, translate them into deliverables and connect AI outcomes to business/clinical impact (e.g., reduced admin burden, improved documentation quality, faster appeals).</li><li>Own model governance: data provenance, bias mitigation, ethical and clinical safety review, regulatory compliance for AI systems handling PHI.</li><li>Manage model deployment, monitoring, lifecycle management: versioning, drift detection, rollback strategies, performance tracking, governance dashboards.</li><li>Foster a culture of continuous improvement: evaluate new generative&#8209;AI and NLP techniques, build proof&#8209;of&#8209;concepts, propose product enhancements and present to leadership.</li></ul><p><b>Requirements</b></p><ul><li>Advanced degree (BS) in Machine Learning, AI, Computer Science or related field. MS in the same domain is a plus.</li><li>Experience building AI systems certified for clinical or reimbursement workflows (e.g., appeals automation).</li><li>5+ years of hands&#8209;on experience developing production&#8209;grade AI/ML systems, with at least 2+ years leading or architecture&#8209;level in generative AI/LLMs.</li><li>Proven record of deploying LLM&#8209;based solutions in the wild (particularly for enterprise/healthcare settings).</li><li>Deep expertise in NLP, LLM fine&#8209;tuning, embeddings, retrieval&#8209;augmented generation (RAG), prompt engineering, evaluation frameworks.</li><li>Strong software engineering ability (Python, frameworks like PyTorch/TensorFlow, HF Transformers, MLops platforms).</li><li>Experience working with healthcare data (EHR, claims, clinical notes), knowledge of healthcare workflows, standards (HIPAA, HL7/FHIR, CPT/ICD).</li><li>Experience with cloud infrastructure (GCP/Vertex AI, AWS, Azure) and scalable microservices architecture.</li><li>Excellent leadership, communication and stakeholder&#8209;management skills; able to translate between technical and business domains.</li><li>Prior leadership or significant role in a health&#8209;tech or med&#8209;AI company.</li></ul><p><b>What We Offer</b></p><ul><li>Competitive compensation package</li><li>Career growth and leadership opportunities</li><li>Exposure to cutting-edge AI technologies</li><li>Collaborative and innovative work environment</li><li>Health, wellness, and other company benefits</li></ul><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>What is your current salary? (In PKR)</li><li>What is your expected salary? (In PKR)</li><li>How early you can join us? (In Days)</li><li>This is an Onsite opportunity for our Bagh AJK Office, Are you willing to join in Bagh AJK?</li></ul><p>Work Location: In person</p>

Techeezy

<p><b>Company: </b>SparkAi</p><p><b>Experience: </b>4 to 5 years</p><p><b>Employment Type:</b> Full-time</p><p><b>Location: </b>Lahore</p><p><b>Role Overview:</b></p><p>We are looking for a highly skilled Senior Python Developer with expertise - in Generative AI and Retrieval-Augmented Generation (RAG). The ideal candidate should have hands-on experience in LLMs, prompt engineering, vector databases, and AI-driven application development.</p><p><b>Key Responsibilities</b></p><ul><li>Familiarity with Graph Databases like Neo4j</li><li>Develop and optimize LLM-powered applications using Python.</li><li>Implement Retrieval-Augmented Generation (RAG) pipelines for AI-driven search and content generation.</li><li>Design and fine-tune prompt engineering strategies for better AI responses.</li><li>Integrate OpenAI, LangChain, Hugging Face, and other AI frameworks into scalable applications.</li><li>Optimize ML models and deployments using Docker, FastAPI, Flask, and other frameworks.</li><li>Collaborate with cross-functional teams to deliver AI-powered solutions.</li></ul><p><b>Requirements</b></p><ul><li>Experience in LLMs, OpenAI API, LangChain, Hugging Face</li><li>Proficiency in RAG</li><li>Understanding of NLP, embeddings, and knowledge graphs</li><li>Familiarity with cloud services (AWS, GCP, Azure)</li><li>Experience in API development (FastAPI, Flask, Django, Rest)</li><li>Knowledge of MLOps &amp; model deployment is a plus</li></ul><p><b>Please fill this form </b></p><p>https://forms.gle/9d8XndUBqMtoZ5u18</p><p>Job Type: Full-time</p><p>Work Location: In person</p>

ZZ-Technologies, islamabad

<p><b>Job Summary:</b></p><p>We are seeking a skilled and innovative <b>AI Engineer</b> to design, develop, and implement AI-driven solutions to support our products and operations. The ideal candidate will have strong experience in machine learning, deep learning, data processing, and software engineering.</p><p><b>Responsibilities:</b></p><p><b>LLM Development &amp; Fine-Tuning</b></p><ul><li>Fine-tune and adapt state-of-the-art LLMs (e.g., LLaMA, GPT, Mistral, Gemma) for domain-specific tasks.</li><li>Implement advanced training strategies including <b>LoRA</b>, <b>QLoRA</b>, <b>PEFT</b>, and parameter-efficient adaptation methods.</li><li>Manage dataset preprocessing, curation, augmentation, and experiment tracking.</li><li>Optimize models for quality, latency, and memory efficiency across training and inference.</li></ul><p><b>GPU-Based Training &amp; Optimization</b></p><ul><li>Run and optimize training pipelines across multi-GPU environments (NVIDIA A100, H100, RTX, etc.).</li><li>Implement mixed-precision training, quantization, and distributed training (e.g., DeepSpeed, FSDP, DDP).</li><li>Monitor GPU performance, memory usage, and throughput to ensure optimal resource utilization.</li></ul><p><b>Model Serving &amp; Infrastructure</b></p><ul><li>Deploy LLMs using modern serving frameworks (vLLM, TensorRT-LLM, HuggingFace TGI, Triton).</li><li>Develop scalable inference architectures using Docker, Kubernetes, and cloud GPU infrastructure.</li><li>Build end-to-end pipelines for continuous training, evaluation, and automated deployment.</li></ul><p><b>Research, Experimentation &amp; Innovation</b></p><ul><li>Stay updated with cutting-edge research in transformers, embeddings, RAG, PEFT, and efficient fine-tuning.</li><li>Run experiments, benchmark models, and propose architectural or training improvements.</li><li>Prototype new capabilities and develop internal best practices for LLM workflows.</li></ul><p><b>Collaboration &amp; Leadership</b></p><ul><li>Work closely with product, engineering, and data teams to translate requirements into model behaviors.</li><li>Mentor junior engineers and contribute to technical design reviews and architecture decisions.</li><li>Communicate model performance, limitations, and trade-offs clearly to stakeholders</li></ul><p><b>Requirements:</b></p><ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI, Data Science, Engineering, or a related field.</li><li>Strong coding skills in Python (TensorFlow, PyTorch, Scikit-learn, OpenCV, etc.).</li><li>Solid understanding of machine learning algorithms, deep learning, NLP, or computer vision.</li><li>Experience with cloud platforms (AWS, Azure, GCP) is a plus.</li><li>Familiarity with MLOps tools (Docker, Kubernetes, MLflow, etc.) preferred.</li><li>Strong problem-solving skills and ability to work on complex, data-driven problems.</li><li>Ability to work collaboratively in a team-oriented environment.</li></ul><p><b>Preferred Qualifications:</b></p><ul><li>Experience deploying AI models in production environments.</li><li>Knowledge of LLMs (Large Language Models) and prompt engineering.</li><li>Background in data engineering or backend development.</li><li>Research experience or publications in AI/ML fields.</li></ul><p>You can share your cv on whtsapp as well. 03355707047</p><p>Job Type: Full-time</p><p>Pay: Rs200,000.00 - Rs400,000.00 per month</p><p>Work Location: In person</p>

Thinglogix

<p>We are looking for a talented AI enginer to join our team</p><p><b>Requirements:</b></p><ul><li>5+ years of experience</li><li>Strong experience with <b>Angular</b>.</li><li>Solid backend development experience with <b>Node.js</b>.</li><li>Hands-on experience with <b>AWS services</b> (Lambda, API Gateway, S3, DynamoDB, Lex, Bedrock etc.).</li><li>Experience with <b>LLM GenAI Langchain</b></li><li>Good problem-solving and debugging skills.</li><li>Strong communication and teamwork abilities.</li></ul><p>Job Type: Full-time</p><p>Work Location: Remote</p>

Senior AI engineer

WindshieldHUB

<div><h2 class="jobSectionHeader"><b>Job Summary</b><br>
<b>We&rsquo;re seeking a Senior AI Integration Engineer with full-stack expertise and hands-on experience developing real-world AI systems. The ideal candidate can architect, code, and deploy advanced AI solutions that power automation, analytics, and data-driven applications. This role offers the opportunity to lead technical innovation, work with modern frameworks, and help shape the foundation for next-generation AI-powered products.</b></h2><h2 class="jobSectionHeader"><b>
About the Role</b><br>
<b>We&rsquo;re looking for a Senior AI Integration Engineer with strong full-stack experience and a passion for building and deploying real-world AI-powered systems. This role is ideal for an engineer who thrives at the intersection of AI architecture, backend logic, and automation &mdash; someone who can take ideas from concept to production. You&rsquo;ll help define how AI is embedded across modern platforms and services, driving innovation and building the foundation for future AI-driven products. You&rsquo;ll work closely with our technical leads, collaborate with developers, and play a key role in integrating advanced AI capabilities across multiple systems.</b></h2><h2 class="jobSectionHeader"><b>
Key Responsibilities</b></h2><ul><li>
Design and implement AI-driven features and automations within enterprise-grade applications.</li><li>
Build and maintain data pipelines and event-driven workflows for model training, inference, and feedback.</li><li>
Integrate LLMs, vector databases, and AI orchestration frameworks into existing environments.</li><li>
Develop and deploy AI agents for process automation, knowledge retrieval, and analytics summarization.</li><li>
Collaborate with development leads to ensure performance, scalability, and data privacy.</li><li>
Document and maintain clear integration processes and architecture guidelines.</li><li>
Provide mentorship on AI/ML best practices to other engineers.</li><li>
Continuously identify opportunities to improve existing systems using AI-driven enhancements.</li></ul><h2 class="jobSectionHeader"><b>
Required Technical Skills</b></h2><ul><li>
Strong programming background in Python, Node.js, or PHP (Laravel experience preferred).</li><li>
Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, LangChain, or Hugging Face.</li><li>
Proven experience integrating LLMs (OpenAI, Anthropic, Meta Llama 3, or fine-tuned custom models).</li><li>
Practical experience with vector databases (Pinecone, Weaviate, Chroma, FAISS).</li><li>
Familiarity with frontend frameworks such as Vue.js, Nuxt.js, or React/Next.js.</li><li>
Strong understanding of API design, microservices, and event-driven architecture.</li><li>
Knowledge of data engineering principles (ETL, preprocessing, data labeling).</li><li>
Experience building RAG (Retrieval-Augmented Generation) systems and automation workflows.</li></ul><h2 class="jobSectionHeader"><b>
Soft Skills</b></h2><ul><li>
Strong leadership through action &mdash; hands-on and collaborative.</li><li>
Excellent documentation and communication skills.</li><li>
Strategic thinker with strong problem-solving abilities.</li><li>
Adaptable and motivated by fast-paced innovation.</li><li>
Passion for building high-impact systems that scale.</li></ul><h2 class="jobSectionHeader"><b>
What We Offer</b></h2><ul><li>
Full-time, long-term opportunity with room for advancement as AI initiatives expand.</li><li>
A dynamic environment focused on innovation, creativity, and impact.</li><li>
The chance to shape the AI foundation for new and existing digital products.</li></ul><p>
</p><p>tSrSoAAtGy</p></div>

Senior AI Integration Engineer

Explore 2330+ Senior ai engineer in Pakistan this December. Find roles across top companies and apply now to boost your career.

2330 senior ai engineer jobs IN Pakistan

Senior AI Engineer

Senior Ai Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI Engineer

Senior AI engineer

Senior AI Integration Engineer