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Purelogics

We are seeking a Senior AI Engineer to join our team and help us develop innovative solutions using artificial intelligence and machine learning technologies, specifically with LLMs. As an AI Engineer, you will be responsible for designing, building, testing, and deploying AI-based systems that can automate and optimize business processes.Responsibilities:<ul><li>Design, develop, and deploy AI-based systems and algorithms to solve complex problems and enhance business operations.</li><li>Train, fine-tune, and optimize AI/LLM models for task-specific performance.</li><li>Build intelligent web crawling and AI-based scraping solutions to extract structured data from public sources.</li><li>Process and organize scraped data for chatbot consumption and analysis.</li><li>Develop and manage scalable data pipelines and ETL workflows to support AI systems.</li><li>Collaborate with cross-functional teams to identify opportunities and deliver impactful AI-driven solutions.</li><li>Communicate effectively with clients to understand requirements and present viable AI solutions.</li><li>Develop data collection, preprocessing, and analysis pipelines for model training and evaluation.</li><li>Perform experiments and statistical analyses to assess algorithm performance.</li><li>Implement, deploy, and maintain AI models and solutions in production environments.</li><li>Lead AI initiatives and mentor junior engineers.</li><li>Ensure adherence to MLOps best practices including monitoring and lifecycle management.</li><li>Oversee Dockerization and containerization for deployment.</li><li>Manage multiple projects in a dynamic, research-oriented environment.</li></ul>Requirements:<ul><li>A minimum of 4 Years of experience is required</li><li>Proficiency in Python, with strong experience in PyTorch or TensorFlow.</li><li>Hands-on experience with Hugging Face Transformers.</li><li>Solid foundation in Neural Networks, CNNs, Transformers, and traditional ML algorithms.</li><li>Experience in AI-powered scraping frameworks (e.g., Scrapy with NLP filtering, Selenium with AI logic, Diffbot).</li><li>Strong grasp of data pipelines, ETL processes, and tools like Airflow or Spark.</li><li>Familiarity with vector databases such as FAISS, Pinecone, Qdrant, or ChromaDB.</li><li>Experience with FastAPI, Django, or Flask for building REST APIs.</li><li>Skilled in LangChain, LlamaIndex, or similar LLM orchestration tools.</li><li>Experience with RAG (Retrieval-Augmented Generation) and Chain-of-Thought reasoning.</li><li>Proficient in containerization (Docker) and cloud services (AWS, GCP, or Azure).</li><li>Strong communication skills and ability to lead client discussions and technical teams.</li><li>Deep understanding of object-oriented and functional programming principles.</li><li>2&ndash;3 years of experience in AI strategy, solution design, and data modeling.</li></ul>Nice to have<ul><li>Experience with Spatial Data Science, NLP, or Computer Vision.</li><li>Knowledge of Big Data tools (e.g., PySpark, AWS EMR, GCP BigQuery).</li><li>Familiarity with MLOps platforms like Sagemaker, AzureML, or Vertex AI.</li><li>Exposure to workflow orchestration tools like Kubeflow or Airflow.</li><li>Experience integrating scraped datasets into chatbot or NLP systems.</li><li>Understanding of prompt engineering and document ingestion strategies.</li><li>Familiarity with Kubernetes, serverless architectures, and distributed systems.</li><li>Knowledge of Graph Databases and Knowledge Graphs.</li><li>Strong communication and problem-solving skills with the ability to recommend innovative solutions and guide technical direction as needed.</li></ul>Experience:<ul><li>Min 4+ Years</li></ul>About Us:PureLogics is a full services technology company with having presence in the USA, UAE, and in Lahore. Over the past 18+ years, we have matured from a narrowly-focused five-person team to a well-established technology hub with around employees. We&rsquo;re CMMI Level 2 and ISO Certified company and highly acclaimed AWS consulting partners.The success of our business mainly lies in building a team of A-players, who work together and build together, and who crave perfection in everything they produce for our elite clients. We offer the opportunity to young and enthusiastic individuals that are eager to take on tough challenges under our mentorship toward a bright future.What are we offering?<ul><li>Annual Paid Leaves</li><li>Leave Encashment</li><li>Paid Certifications</li><li>Health, Life Insurance</li><li>Provident Fund</li><li>Child Education Program</li><li>Referral Bonus Program</li><li>Car &amp; Bike Finance Program</li><li>Monthly Achievements</li><li>Public Holiday &amp; Weekend Compensation</li></ul>Job Type: Full-timePay: Rs200,000.00 - Rs300,000.00 per monthWork Location: On the road

Sr. AI Engineer

Nexa

<div>
 
 
 AI-Native Full Stack Engineer
 
 
 
 
 
 
 Nexa is reinventing hiring through AI.
 
 
 
 
 
 We&rsquo;re building an
 
 autonomous AI recruiter
 
 that can source candidates, personalise outreach, and screen talent with minimal human input.
 
 
 
 
 
 We&rsquo;re backed by angel investors from Google and Zoom and are assembling a high-calibre engineering team focused on building fast, intelligent systems.
 
 
 
 
 
 The global recruitment market is valued at $500B+, yet most hiring is still manual, slow, and inefficient. Nexa is changing that by combining automation, AI agents, and real-time data to dramatically improve hiring speed and quality.
 
 
 
 
 
 As an AI-Native Full Stack Engineer, you will play a key role in building scalable systems, integrating AI capabilities, and shipping products quickly using modern development workflows.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Design, develop, and optimise scalable backend services and APIs.
 
 
 Build and maintain full-stack applications using modern frameworks (React, Next.js, etc.).
 
 
 Integrate AI models and LLM-powered features into production systems.
 
 
 Develop systems for processing, structuring, and utilising candidate and job data.
 
 
 Collaborate closely with product and ML engineers to deliver seamless user experiences.
 
 
 Implement authentication, user management, and secure data handling.
 
 
 Continuously improve system performance, reliability, and scalability.
 
 
 Leverage AI tools (e.g. Cursor, copilots) to accelerate development and iteration speed.
 
 
 
 
 
 
 Key Qualifications:
 
 
 
 ✅ 3+ years of experience in full stack or backend development
 
 
 ✅ Strong expertise in
 
 TypeScript, React, and/or Python
 
 
 
 ✅ Experience with backend frameworks such as
 
 FastAPI, Django, or Node.js
 
 
 
 ✅ Experience working with databases such as
 
 PostgreSQL or MongoDB
 
 
 
 ✅ Familiarity with integrating APIs and third-party services
 
 
 
 
 
 
 AI-Native Requirements (Critical):
 
 
 
 ✅ Regular use of AI tools such as Cursor, ChatGPT, Claude, or similar
 
 
 ✅ Experience integrating LLMs into applications (prompting, APIs, workflows)
 
 
 ✅ Ability to balance rule-based logic with AI-driven approaches
 
 
 ✅ Comfortable building and iterating quickly using AI-assisted workflows
 
 
 
 
 
 
 Bonus:
 
 
 
 ✅ Experience building AI agents or automation systems
 
 
 ✅ Familiarity with email automation or workflow tools
 
 
 ✅ Experience in recruitment tech, HR SaaS, or marketplaces
 
 
 ✅ Startup or 0 to 1 product experience
 
 
 
</div>

AI Fullstack Engineer

Hazen Technologies Inc.

<div>Company Overview:
Hazen Technologies is a leading technology and BPO company having offices in USA and Pakistan. Today we stand as a premier driver of innovation, offering transformative IT solutions, managed services (back-office support), and creative &amp; digital marketing services tailored for a range of industries. Our core focus is on providing seamless solutions that add real value for our customers.
Job Location: Gulberg Lahore Pakistan.
Job Conditions: Onsite, full time, 02:00 pm to 11:00 pm PKT
Report to: Chief Software Architect
Responsible for designing, developing, and implementing cutting-edge AI and machine learning solutions. Passionate and skilled to join our growing technology team. The ideal candidate will have hands-on experience building AI-powered solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and modern machine learning techniques.
Key Responsibilities: 
<ul><li>
Design and implement AI-powered applications using Large Language Models (LLMs).</li>
<li>Develop and maintain Retrieval-Augmented Generation (RAG) pipelines for document search, knowledge retrieval, and conversational AI.</li>
<li>Work with LLM APIs and integrate them into production-grade applications.</li>
<li>Build and manage embedding pipelines and vector search solutions.</li>
<li>Apply machine learning principles for model evaluation, optimization, and performance improvement.</li>
<li>Collaborate with backend and frontend teams to integrate AI features into products.</li>
<li>Monitor and improve AI system performance, scalability, and reliability.</li>
<li>Stay updated with the latest advancements in Generative AI, LLM frameworks, and machine learning technologies.</li></ul>
Key Requirements:<ul>
<li>BS/MS in Computer Science, Artificial Intelligence, Data Science, or a related field.</li>
<li>Strong programming skills in Python.</li>
<li>Hands-on experience working with LLMs and their APIs.</li>
<li>Experience building or working with RAG-based architectures.</li>
<li>Understanding of machine learning fundamentals and model evaluation techniques.</li>
<li>Experience with embeddings, vector databases, and semantic search.</li>
<li>Familiarity with frameworks such as LangChain, LlamaIndex, or similar LLM orchestration tools.</li></ul>
Preferred / Nice to Have<ul>
<li>Experience with Azure AI services and Azure OpenAI.</li>
<li>Familiarity with vector databases such as Qdrant, Pinecone, or Weaviate.</li>
<li>Experience deploying ML/AI solutions in cloud environments (Azure preferred).</li>
<li>Knowledge of MLOps, model monitoring, and scalable AI system design.</li>
<li>Experience working with REST APIs and backend integration.</li></ul>
At Hazen Technologies, we value diversity and inclusivity in the workplace. We are committed to providing equal employment opportunities to all individuals, regardless of race, gender, age, sexual orientation, religion, or disability.
Join our team and be a part of shaping the future of AI and machine learning at Hazen Technologies. Apply now! and make sure to fill out the form.</div>

Senior AI/ML Engineer

UserWise Services

<div>About UserWise
We&rsquo;re building a high-speed, AI-assisted game production team focused on developing and scaling mobile games globally.
This is not a traditional game team. We operate with ownership, clarity, and execution speed &mdash; leveraging AI-driven workflows to move faster than most studios.
We work across a global team, building production-ready games and scaling them through LiveOps. Our focus is simple: increase the number of high-quality bets and turn them into scalable products.
Our team is already working across established franchises such as Fruit Ninja and Wordscapes, contributing to both development and growth initiatives.
Why Join
You&rsquo;ll be part of a team applying AI to real production environments &mdash; not research, but building systems that directly impact how games are created and scaled. 
Requirements 

What You&rsquo;ll Do
You will build systems and tools that accelerate game development across design, engineering, art, and QA.<ul><li>
Create AI-assisted workflows and tools that enable faster content creation (levels, assets, systems) directly within Unity Engine.</li><li>
Automate repetitive processes across production pipelines</li><li>
Work closely with designers, artists, QA, and engineers to improve workflows</li><li>
Integrate AI Capabilities: Connect our development environment with external AI/LLM models and APIs e.g. Claude Code MCP servers, Cursor Skills, to automate repetitive production pipelines.</li><li>
Rapidly prototype and deploy solutions that increase team velocity</li><li>
Continuously improve how games are built, tested, and scaled</li></ul>
What You Bring<ul><li>
Strong engineering background 4+ years of experience in game development</li><li>
Fluency in C# and deep familiarity with Unity Engine</li><li>
Experience working with AI/LLM-based tools or systems</li><li>
You are a builder &mdash; you ship tools and solutions, not just ideas</li><li>
You focus on practical impact, not theoretical research</li><li>
You can work across disciplines (design, art, QA, product)</li><li>
You are comfortable moving fast and iterating quickly</li><li>
You take ownership and solve problems end-to-end</li><li>
You care about improving speed, scalability, and efficiency</li></ul>
Environment<ul><li>
High ownership &mdash; you build systems that impact the entire team</li><li>
High speed &mdash; rapid iteration and deployment of tools</li><li>
AI-first workflows &mdash; real application of AI in production</li><li>
Global team &mdash; collaborate across multiple disciplines and regions</li><li>
Low bureaucracy &mdash; minimal process, maximum execution</li></ul> 
Benefits 
<ul><li>
Market competitive, tax-free USD salaries</li><li>
Private Health Insurance</li><li>
Paid Time Off</li><li>
Performance Bonus</li><li>
Annual Performance Reviews</li></ul></div>

AI Engineer - Game Development (Production Acceleration & Tooling)

DevioTech

Company DescriptionDevioTech is a leading IT consultancy and software development company specializing in global digital transformation. Known for delivering innovative, high-quality technical solutions, we empower businesses to thrive in competitive digital markets. Our core expertise includes scalable full-stack development, advanced digital strategies combined with SEO, and user-centric UI/UX design. With a commitment to excellence, DevioTech fosters long-lasting client relationships and stays ahead in the world of IT innovation.Role DescriptionWe are seeking a Full Stack and AI Systems Engineer for a full-time, on-site position based in Lahore. The engineer will design, develop, and maintain scalable web and AI-driven systems. Responsibilities include systems design, troubleshooting complex software and hardware challenges, system administration, and providing technical support. The role also involves collaborating with cross-functional teams, optimizing system performance, and implementing innovative technologies to meet evolving business needs.Qualifications<ul><li>Proficiency in Systems Design and Systems Engineering for scalable and reliable solutions</li><li>Strong troubleshooting and problem-solving skills for resolving software and hardware issues</li><li>Experience in System Administration with knowledge of managing and maintaining IT infrastructure</li><li>Expertise in providing Technical Support and ensuring seamless operation of IT systems</li><li>Proficiency in programming languages such as JavaScript, Python, or similar</li><li>Experience designing AI-driven systems is a plus</li><li>Bachelor's degree in Computer Science, Software Engineering, or related field</li><li>Ability to work collaboratively in an on-site, team-focused environment</li></ul>Job Type: Full-timePay: Rs100,000.00 - Rs150,000.00 per monthWork Location: In person

Full Stack And AI Systems Engineer

NorthBay - Pakistan

<div>
 
 Role: Team Lead - Azure AI (Agentic) Engineer
 
 
 
 
 Location:
 
 Pakistan (hybrid work model)
 
 
 
 
 Client: Middle East (Government)
 
 
 
 
 
 About The Role
 
 
 
 NorthBay Solutions, an AWS global Consulting Partner with distributed teams across the US, Canada, UAE, India, and Pakistan, is hiring a high-caliber
 
 Azure AI Specialist (Team Lead)
 
 with deep expertise in building enterprise-grade
 
 Generative AI, RAG, and Agentic AI solutions
 
 on the Azure ecosystem.
 
 
 This role requires hands-on experience in designing scalable, multi-tenant AI systems, integrating LLMs, and building intelligent pipelines using Azure-native services.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and deploy LLM-powered applications using Azure OpenAI for enterprise use cases
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using Azure AI Search (vector + hybrid search)
 </li>
 <li>
 Develop Agentic AI systems leveraging frameworks and tool-based reasoning approaches
 </li>
 <li>
 Implement custom Document Intelligence models for high-accuracy data extraction (e.g., IDs, structured documents)
 </li>
 <li>
 Architect multi-tenant AI deployments with scalability, security, and cost-efficiency in mind
 </li>
 <li>
 Develop and manage Knowledge Graphs for structured reasoning and contextual intelligence
 </li>
 <li>
 Apply advanced prompt engineering techniques (Few-shot, Chain-of-Thought, ReAct)
 </li>
 <li>
 Use Prompt Flow in Azure AI Studio for experimentation, testing, and versioning
 </li>
 <li>
 Design intelligent conversational systems with fallback handling and contextual memory
 </li>
 <li>
 Build and manage MLOps pipelines using Azure Machine Learning
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 <ul>
 <li>
 Overall 10+ years experience, with a focus on Azure OpenAI API (deployments, scaling, optimization)
 </li>
 <li>
 Proven expertise in building RAG pipelines using Azure AI Search
 </li>
 <li>
 Experience with vector databases and hybrid search architectures
 </li>
 <li>
 Practical experience in Agentic AI / multi-agent systems
 </li>
 <li>
 Hands-on with Azure AI Document Intelligence (Form Recognizer)
 </li>
 <li>
 Solid understanding of Knowledge Graphs and semantic modeling
 </li>
 <li>
 Expertise in prompt engineering &amp; LLM optimization techniques
 </li>
 <li>
 Experience with Prompt Flow (Azure AI Studio)
 </li>
 <li>
 Strong background in Python and cloud-native development
 </li>
 <li>
 Experience with Azure ML / MLOps pipelines
 </li>
 <li>
 Ability to design scalable and secure enterprise AI architectures
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with LangChain, Semantic Kernel, or similar frameworks
 </li>
 <li>
 Exposure to multi-agent orchestration tools
 </li>
 <li>
 Prior experience working with enterprise clients or large-scale AI deployments
 </li>
 </ul>
</div>

Azure AI (Agentic) Specialist - Team Lead

Inovaqo

Job Title: Lead AI Engineer / AI Sales CloserLocation: Onsite (Lahore)Job Type: Full-TimeAbout the Role:We&rsquo;re looking for a technically strong AI professional who can go beyond development and step into a client-facing, revenue-driving role. This position is ideal for someone who understands AI deeply and knows how to sell solutions, not just build them.You will be working directly with international clients, leading discovery calls, identifying business problems, and closing deals by presenting tailored AI solutions.Key Responsibilities:<ul><li>Lead client calls and act as an AI solutions consultant for international prospects</li><li>Understand client requirements and translate them into practical AI/ML solutions</li><li>Close leads by confidently presenting value-driven proposals</li><li>Work closely with internal technical teams to align solutions with execution</li><li>Build trust with clients through strong communication and problem-solving</li><li>Contribute to building and scaling the AI department</li><li>Stay updated with the latest AI trends to pitch cutting-edge solutions</li></ul>Requirements:<ul><li>3+ years of proven industry experience in AI/ML</li><li>Strong understanding of AI domains (LLMs, NLP, Computer Vision, etc.)</li><li>Prior experience in client-facing roles, pre-sales, or technical consulting</li><li>Exceptional communication, presentation, and negotiation skills</li><li>Ability to confidently handle international clients and close deals</li><li>Strong business acumen you should understand both tech + revenue impact</li></ul>Preferred:<ul><li>Experience in AI services companies or startups</li><li>Exposure to SaaS/product-based selling</li><li>Experience working with global clients (US, UK, etc.)</li></ul>What We Offer:<ul><li>Attractive salary + closing bonus</li><li>Opportunity to lead the AI function</li><li>High-impact role with direct visibility into business growth</li><li>Fast-paced, growth-driven environment</li></ul>Who This is For:<ul><li>Someone who thinks: &ldquo;I don&rsquo;t just want to build AI&hellip; I want to sell it, scale it, and own it.&rdquo;</li></ul>To apply: hr@tagsolutionsltd.comPay: Rs150,000.00 - Rs220,000.00 per monthWork Location: In person

AI sales closer - Full Stack Engineer

Explore 256+ Ai engineer in Lahore this May. Find roles across top companies and apply now to boost your career.