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senior ai engineer

92Techno

We are seeking a highly skilled Senior AI Engineer 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.Key Responsibilities<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>Requirements<ul><li>6&ndash;10+ years of experience in Data Engineering, ML Engineering, or AI Engineering.</li><li>Strong proficiency in Python, SQL, and major cloud platforms (AWS, Azure, or GCP).</li><li>Experience working with Spark, feature stores, and Lakehouse architectures.</li><li>Hands-on expertise in LLMs, vector databases, and RAG pipelines.</li><li>Solid understanding of data governance, data security, DevOps/MLOps, and enterprise data frameworks.</li></ul>Job Type: Full-timePay: Rs450,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>Do you have 6+ years of experience in Data Engineering, ML Engineering, or AI Engineering?</li></ul>Work Location: In person

Senior AI Engineer

Techeezy

Company: SparkAiExperience: 4 to 5 yearsEmployment Type: Full-timeLocation: LahoreRole Overview: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.Key Responsibilities<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>Requirements<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>Please fill this form https://forms.gle/9d8XndUBqMtoZ5u18Job Type: Full-timeWork Location: In person

WindshieldHUB

<div><h2 class="jobSectionHeader">Job Summary 
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.</h2><h2 class="jobSectionHeader">
About the Role 
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.</h2><h2 class="jobSectionHeader">
Key Responsibilities</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">
Required Technical Skills</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">
Soft Skills</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">
What We Offer</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>
tSrSoAAtGy</div>

Senior AI Integration Engineer

Cogent Labs

Cogent Labs is looking for a Senior Generative AI Engineer for Its Lahore office.Key Responsibilities<ul><li>Design and lead the development of LLM-based applications using cutting-edge frameworks for agentic workflows and system coordination</li><li>Architect agentic and multi-agent systems to handle complex workflows</li><li>Drive prompt engineering strategies and own the quality of model outputs</li><li>Implement RAG pipelines, fine-tune LLMs, and manage inference at scale</li><li>Collaborate with product, data, and engineering teams to integrate AI into production systems</li><li>Mentor junior engineers, set engineering standards, and contribute to internal GenAI tooling</li><li>Stay ahead of the curve on advancements in LLMs, GenAI architectures, and multimodal models</li><li>Ensure models are secure, efficient, and compliant with responsible AI practices</li></ul>Must-Haves<ul><li>3+ years of professional experience in AI/ML, Backend, Data Science, Data Engineering or a related field</li><li>At least 2 years of hands-on experience with:</li><li>LangChain, LangGraph, and LangSmith</li><li>Advanced Prompt engineering</li><li>Multi-agentic systems (CrewAI, A2A etc.)</li><li>Evaluation Framework(s)</li><li>Advance Retrieval-Augmented Generation (RAG) and LLM fine-tuning</li><li>Familiarity with MCP (Model Context Protocol)</li><li>Strong Python expertise, especially in async programming, and background job processing</li><li>You are familiar with cloud-based platforms and services, such as AWS, GCP, or Azure</li><li>Proven ability to solve complex, non-trivial problems using LLMs and generative AI</li><li>Solid understanding of transformer architecture and model optimization</li><li>Experience with observability for GenAI Applications</li></ul>Nice to Have<ul><li>Experience with multimodal models (e.g., vision + language)</li><li>Experience with hosting and scaling self-hosted models</li><li>Exposure to FastAPI, Django, or other API frameworks</li></ul>Soft Skills<ul><li>Strong communicator with leadership and mentoring skills</li><li>Collaborative and able to turn abstract ideas into real solutions</li><li>Proactive, self-driven, and thrives in fast-paced environments</li><li>Self-accountability and the ability to set a higher bar for the team</li></ul>Deal Breakers<ul><li>No experience with GenAI</li><li>No track record in prompt engineering or LLM-based applications</li></ul>Attractive Perks<ul><li>Daily lunch, performance bonuses, medical coverage, financial assistance, travel allowance and much more</li></ul>Cultural Fit<ul><li>Inclusive approach, high energy and integrity, Attention to detail</li></ul>Job Type: Full-timePay: From Rs200,000.00 per monthWork Location: In person

Senior Generative AI Engineer

Alpha Group of Companies

Company OverviewWe build scalable and intelligent systems to tackle complex real-world challenges in manufacturing, healthcare, retail, and e-commerce. Our culture fosters continuous learning, collaboration, and cutting-edge experimentation.Job SummaryWe are looking for a Senior AI/ML Engineer with strong hands-on expertise in developing, deploying, and scaling advanced machine learning and generative AI solutions. This role is designed for someone with deep skills in core AI areas (LLMs, deep learning, data pipelines, and MLOps), while being comfortable exploring adjacent technologies.You&rsquo;ll work on end-to-end AI/ML pipelines, from data preparation to production deployment, and lead initiatives that push the boundaries of Generative AI, LLM customization, and AI-first applications. You will also mentor team members and collaborate with cross-functional teams to deliver enterprise-grade AI systems.Key Responsibilities<ul><li>Design, train, and deploy ML/DL models for NLP, Computer Vision, or multimodal use cases.</li><li>Work with frameworks such as PyTorch, TensorFlow, Scikit-learn, Keras, Hugging Face, JAX, Diffusers.</li><li>Apply transfer learning, fine-tuning, and optimization techniques for LLMs and generative models.</li><li>Fine-tune and customize LLMs (GPT, LLaMA, Mistral, Grok, etc.) for domain-specific tasks.</li><li>Implement RAG (Retrieval-Augmented Generation), PEFT (LoRA/adapters), quantization, and prompt engineering.</li><li>Build and deploy generative systems for text, images, or speech.</li><li>Develop and maintain ML pipelines with MLflow, Kubeflow, TFX, or ZenML.</li><li>Use Docker, Kubernetes, and CI/CD pipelines to ensure scalable deployments.</li><li>Monitor and manage deployed models (performance, drift, retraining cycles).</li><li>Build robust data pipelines using Apache Airflow, Spark, or Dask.</li><li>Handle large, complex datasets with proper feature engineering and augmentation strategies.</li><li>Deploy and manage ML workloads on AWS (SageMaker, Bedrock), GCP (Vertex AI), Azure ML, Hugging Face Spaces.</li><li>Ensure fairness, explainability (SHAP, LIME), and compliance with GDPR and AI regulations.</li><li>Mentor junior engineers and contribute to best practices in AI/ML development.</li><li>Collaborate with product managers, data engineers, and developers to deliver impactful AI solutions.</li><li>Stay updated with AI research (arXiv, NeurIPS, ICML) and apply learnings to production solutions.</li></ul>Required Qualifications &amp; Skills<ul><li>Strong programming skills in Python (NumPy, Pandas, PyTorch/TensorFlow, Scikit-learn).</li><li>Working familiarity with R, Julia, Scala, or Java is a plus.</li><li>Hands-on experience with Hugging Face, LangChain, LlamaIndex, MLflow, Kubeflow, Airflow.</li><li>Proficiency with at least one major cloud provider (AWS, GCP, Azure) for ML workloads.</li><li>Experience with CI/CD, Docker, Kubernetes, Git for scalable ML deployments.</li><li>Hands-on experience with LLMs, Diffusion Models, and RAG pipelines.</li><li>Strong data engineering skills with Spark/Dask, and managing large-scale datasets.</li><li>Excellent problem-solving, communication, and collaboration skills.</li><li>Proven ability to mentor junior engineers and lead AI/ML initiatives.</li></ul>Preferred Qualifications<ul><li>Experience applying AI in Manufacturing, Healthcare, Retail, or E-Commerce.</li><li>Experience with Edge AI and IoT platforms (e.g., NVIDIA Jetson, TPUs).</li><li>Contributions to open-source, patents, or publications in AI/ML.</li><li>Familiarity with AI agent frameworks (LangGraph, CrewAI, Auto-GPT).</li></ul>Education &amp; Experience<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, AI/ML, Data Science, Electrical Engineering, or related fields.</li><li>PhD or research experience is a plus, but not mandatory.</li><li>5&ndash;7+ years of experience in AI/ML roles, with proven impact in production systems or R&amp;D projects.</li></ul>What We Offer<ul><li>High-impact projects leveraging Generative AI, LLMs, and MLOps.</li><li>Continuous learning with training budgets, cloud credits, and conference sponsorships.</li><li>Competitive salary and benefits, performance-based bonuses.</li><li>Flexible hybrid/remote work options.</li><li>Collaborative, innovative environment with opportunities for growth.</li></ul>Equal Opportunity StatementWe value diversity and inclusion, and welcome applications from all backgrounds and experiences.Job Type: Full-timePay: Rs450,000.00 - Rs600,000.00 per monthWork Location: In person

Senior AI/ML Engineer

Airport Parking Global Services

Location: Lahore / Full Time / Project Based Company: Go Airport Parking (Multi-Airport, Multi-Franchise Network)About The RoleWe are building one of the most advanced AI-driven commercial, pricing, marketing, and operations platforms in the airport services industry &mdash; fully embedded inside our PHP backend system.This is not a research role and not a chatbot-only role. This is a hands-on, production engineering role where you will build real-time:<ul><li>&#9989; Dynamic pricing &amp; demand forecasting</li></ul><ul><li>&#9989; Competitor price &amp; market intelligence</li></ul><ul><li>&#9989; Multi-channel marketing optimisation</li></ul><ul><li>&#9989; Franchisee performance &amp; risk detection</li></ul><ul><li>&#9989; Website conversion &amp; behavioural AI</li></ul><ul><li>&#9989; AI-based Call Centre (DRT &amp; CRS) automation</li></ul>You will be responsible for turning 10+ years of live booking, pricing, marketing, behavioural, and operational data into a fully autonomous AI decision system.This is a career-defining role for the right candidate.Core Responsibilities1. Commercial &amp; Pricing AI (Core Revenue Engine)<ul><li>Build airport-level demand forecasting models</li></ul><ul><li>Implement safe dynamic pricing automation with:</li></ul><ul><li>Seasonal break-even floors</li></ul><ul><li>CPC-based price protection</li></ul><ul><li>Competitor price response logic</li></ul><ul><li>Design price elasticity models per airport &amp; service</li></ul><ul><li>Create price A/B test engines and revenue optimisation loops</li></ul>(References: Dynamic Pricing &amp; Commercial AI Roadmap)2. Marketing &amp; Multi-Channel Budget Optimisation<ul><li>Integrate and analyse:</li></ul><ul><li>Google Ads</li></ul><ul><li>Meta (Facebook/Instagram)</li></ul><ul><li>Bing &amp; Yahoo Ads</li></ul><ul><li>Email (Mailchimp)</li></ul><ul><li>SMS &amp; Affiliates</li></ul><ul><li>Build AI-driven budget allocation models per airport</li></ul><ul><li>Link pricing &harr; CPC &harr; conversion rate &harr; occupancy</li></ul><ul><li>Predict ROAS per date, per airport</li></ul>(References: Marketing &amp; Commercial Intelligence Roadmap)3. Competitor &amp; Market Intelligence<ul><li>Build automated competitor price monitoring</li></ul><ul><li>Track:</li></ul><ul><li>Ad copy changes</li></ul><ul><li>Landing page prices</li></ul><ul><li>Promotions &amp; discount cycles</li></ul><ul><li>Detect price shocks &amp; undercut risks</li></ul><ul><li>Support new airport &amp; new city expansion modelling</li></ul>(References: Competitor &amp; Market Intelligence Systems)4. Franchisee Performance, Risk &amp; Fraud Detection<ul><li>Implement Franchisee Performance Scoring Engine (FPS)</li></ul><ul><li>Build:</li></ul><ul><li>Driver risk prediction</li></ul><ul><li>Complaint spike detection</li></ul><ul><li>SLA decline detection</li></ul><ul><li>Refund &amp; late-fee leakage analysis</li></ul><ul><li>Support automated franchisee intervention systems</li></ul>(References: Franchisee AI &amp; Risk Systems)5. Website Behaviour, Conversion &amp; Personalisation AI<ul><li>Build real-time:</li></ul><ul><li>Price sensitivity detection</li></ul><ul><li>Abandonment prediction</li></ul><ul><li>Dynamic UX personalisation</li></ul><ul><li>Funnel optimisation AI</li></ul><ul><li>Integrate:</li></ul><ul><li>GA4</li></ul><ul><li>Google Tag Manager</li></ul><ul><li>Custom behavioural event streams</li></ul><ul><li>Power live layout reordering &amp; CTA optimisation</li></ul>(References: Advanced Website Conversion AI System)6. AI Call Centre (DRT &amp; CRS Automation)<ul><li>Lead AI implementation for:</li></ul><ul><li>Real-time arrival &amp; return call handling</li></ul><ul><li>Late fee calculation &amp; secure collection</li></ul><ul><li>Booking modifications</li></ul><ul><li>Refunds &amp; complaints intake</li></ul><ul><li>Integrate:</li></ul><ul><li>Voice AI</li></ul><ul><li>Telephony APIs</li></ul><ul><li>Payment gateways</li></ul><ul><li>Support 70&ndash;90% automated call resolution</li></ul>(References: AI Call Centre Roadmap)Technical Stack You Will Work With<ul><li>Primary Backend: PHP (embedded AI integration)</li></ul><ul><li>AI / ML: Python, forecasting models, optimisation systems</li></ul><ul><li>Databases: MySQL / PostgreSQL</li></ul><ul><li>Marketing APIs:</li></ul><ul><li>Google Ads API</li></ul><ul><li>Meta Ads API</li></ul><ul><li>Bing Ads API</li></ul><ul><li>Mailchimp API</li></ul><ul><li>SMS Gateways</li></ul><ul><li>Tracking &amp; Behaviour:</li></ul><ul><li>GA4</li></ul><ul><li>GTM</li></ul><ul><li>Custom JS event streams</li></ul><ul><li>Voice &amp; Payments:</li></ul><ul><li>Realtime Voice APIs</li></ul><ul><li>Twilio / SIP / VoIP</li></ul><ul><li>Stripe / Opayo</li></ul>&#9989; Required ExperienceWe are not looking for juniors.You must have:<ul><li>&#9989; 2+ years in production AI / data engineering</li></ul><ul><li>&#9989; Strong Python for data modelling &amp; automation</li></ul><ul><li>&#9989; Proven experience with:</li></ul><ul><li>Time-series forecasting</li></ul><ul><li>Pricing optimisation</li></ul><ul><li>Marketing attribution models</li></ul><ul><li>Fraud / anomaly detection</li></ul><ul><li>&#9989; API integration experience with:</li></ul><ul><li>Advertising platforms</li></ul><ul><li>Analytics platforms</li></ul><ul><li>Payment systems</li></ul><ul><li>&#9989; Ability to design safe AI automation with hard business constraints</li></ul><ul><li>&#9989; Experience working alongside traditional backend teams (PHP, MySQL)</li></ul>&#9989; Absolutely Essential<ul><li>You must understand business, not just models</li></ul><ul><li>You must be comfortable owning systems end-to-end</li></ul><ul><li>You must be able to explain AI decisions to non-technical management</li></ul><ul><li>You must design with safety, logging, overrides, and compliance</li></ul>Package &amp; Incentives<ul><li>Highly competitive salary (based on experience)</li></ul><ul><li>Long-term role in a scaling international infrastructure</li></ul><ul><li>Direct influence on pricing, revenue, margin &amp; expansionm</li></ul>Why This Role Is Different<ul><li>You are not building a demo</li></ul><ul><li>You are building a live commercial brain controlling revenue, pricing, marketing, operations &amp; support</li></ul><ul><li>You will influence:</li></ul><ul><li>How much customers pay</li></ul><ul><li>Where the company expands next</li></ul><ul><li>How franchisees are ranked and controlled</li></ul><ul><li>How support is automated across the network</li></ul>This is a real AI leadership role, not a research sandbox.Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

Senior AI Engineer – Commercial, Pricing, Marketing & Operations AI

H2o Labs

Job DescriptionH2O Labs is seeking a highly skilled AI/ML &amp; Data Engineer to join our innovative team. The ideal candidate will have strong expertise in Python, AI/ML, data engineering, SQL, Azure cloud services, and Power BI, with experience deploying models into production.Roles &amp; Responsibilities<ul><li>General Introduction &amp; Experience</li><li>Introduce yourself and highlight relevant AI/ML and data engineering experience.</li><li>Python &amp; AI/ML (Core Requirement)</li><li>Proficient in Python and ML/AI libraries: Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, etc.</li><li>Experience building NLP models using libraries/APIs such as OpenAI, Hugging Face.</li><li>Design, develop, and evaluate ML models; provide examples of recent projects, challenges, and outcomes.</li><li>Experience in fine-tuning and deploying LLMs.</li><li>SQL &amp; Data Engineering</li><li>Write complex SQL queries: DDL, DML, joins, CTEs, window functions.</li><li>Optimize SQL queries for performance improvements.</li><li>Build and maintain ETL pipelines using relevant tools/frameworks.</li><li>Azure Cloud (Mandatory Requirement)</li><li>Hands-on experience with Azure services: Azure Data Lake, Azure ML, Databricks, Functions, etc.</li><li>Deploy ML models on Azure ML; explain the deployment process.</li><li>Familiarity with Azure Data Lake storage formats like Parquet, Delta.</li><li>Power BI</li><li>Create dashboards to deliver actionable insights.</li><li>Comfortable writing DAX measures and creating interactive visuals.</li><li>Architecture &amp; System Thinking</li><li>Design system/data architecture diagrams using Visio, Draw.io, Lucidchart, or similar tools.</li><li>Build end-to-end AI/ML pipelines: from data ingestion to model deployment.</li><li>Production Deployment</li><li>Deploy models from Jupyter Notebook to production using CI/CD pipelines and monitoring tools.</li><li>Monitor and maintain model performance post-deployment.</li><li>Preferred / Bonus Skills</li><li>Experience with R programming language.</li><li>Familiarity with Dynamics 365 CRM.</li><li>Knowledge of AI agent services, Hugging Face, or LLM-based applications.</li><li>Experience in government or enterprise-level projects.</li></ul>Job Type: Full-timePay: Rs250,000.00 - Rs500,000.00 per monthWork Location: In person

Senior AI/ML Engineer (Azure)

Explore 982+ Senior ai engineer in Lahore this December. Find roles across top companies and apply now to boost your career.

982 senior ai engineer jobs IN Lahore

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Senior AI Engineer – Commercial, Pricing, Marketing & Operations AI

Senior AI/ML Engineer (Azure)