it support engineer

associate software engineer Jobs in Lahore

associate software engineer

call centre agent

sales engineer

software quality assurance engineer Jobs in Lahore

software quality assurance engineer

ai solution engineer agentic prompt

Gigalabs (Pvt) Ltd.

<div>
 
 Job Brief:
 
 
 
 Employment Type: Full time, Onsite
 
 
 Timings: 12PM-9PM
 
 
 Location: Johar Town, G4
 
 
 Experience: 4-5 years
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop AI-Driven APIs: Build internal tools and endpoints using FastAPI that serve data insights powered by LLMs.
 </li>
 <li>
 Automate Business Logic: Replace manual data entry and analysis tasks with autonomous n8n workflows.
 </li>
 <li>
 Data Quality Assurance: Ensure the inputs fed into LLM pipelines are clean and the outputs generated are accurate and hallucination-free.
 </li>
 <li>
 Database Management: Maintain and optimize the PostgreSQL instance to handle increasing loads of relational and vector data.
 
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 Candidates must possess hands-on proficiency in the following areas:
 
 
 
 Core Programming &amp; APIs
 
 
 
 <ul>
 <li>
 Python Proficiency: Advanced knowledge of Python for data manipulation and backend logic.
 </li>
 <li>
 API Development: Proven experience building, documenting, and maintaining RESTful APIs using FastAPI (preferred for async capabilities) and Flask.
 </li>
 <li>
 Microservices: Ability to wrap data models and scripts into deployable services.
 
 
 
 </li>
 </ul>
 
 AI &amp; LLM Integration
 
 
 
 <ul>
 <li>
 LLM Pipelines: Experience constructing chains and agents (e.g., using LangChain, LlamaIndex, or custom scripts) to process text and data.
 </li>
 <li>
 OpenAI API: Deep familiarity with the OpenAI ecosystem (GPT-4, Assistants API, function calling) and cost optimization strategies.
 </li>
 <li>
 Prompt Engineering: Demonstrated ability to design system prompts that yield consistent, structured outputs (JSON) from unstructured data.
 
 
 
 </li>
 </ul>
 
 Database &amp; Data Management
 
 
 
 <ul>
 <li>
 PostgreSQL Mastery: Advanced SQL skills including complex joins, window functions, and performance tuning.
 </li>
 <li>
 Vector Data: Experience with vector embeddings and vector similarity search (e.g., using pgvector in PostgreSQL) for RAG (Retrieval-Augmented Generation) implementations.
 </li>
 <li>
 Data Modeling: Ability to design efficient database schemas to store historical data and LLM interaction logs.
 
 
 
 </li>
 </ul>
 
 Automation &amp; Orchestration
 
 
 
 <ul>
 <li>
 n8n Workflow Automation: Strong experience creating complex, conditional workflows in n8n to connect disparate services (Webhooks, APIs, Databases).
 </li>
 <li>
 ETL/ELT: Ability to automate data extraction and transformation pipelines using n8n and Python scripts.
 
 </li>
 </ul>
</div>

AI Solution Engineer (Agentic & Prompt)

92Techno

We are seeking an experienced AI/GenAI Solution Architect to lead the design and delivery of enterprise-grade AI solutions.Responsibilities<ul><li>Engage with clients early to understand AI/GenAI/ML use cases and business requirements</li><li>Design proposed AI architectures and delivery approaches for opportunities</li><li>Provide effort estimates, assumptions, and implementation roadmaps for AI components</li><li>Lead end-to-end AI/GenAI solution architectures including data, models, integration, and deployment</li><li>Own scoped AI work packages delivered by the AI CoE within larger delivery projects</li><li>Ensure AI solutions are production-grade, secure, scalable, and maintainable</li><li>Collaborate with delivery teams for integration, handover, and deployment support</li><li>Establish reusable reference architectures, patterns, and best practices</li><li>Lead AI-enabled development initiatives across delivery teams</li><li>Standardize AI tools and workflows across the software development lifecycle (requirements, design, coding, testing, documentation)</li><li>Maintain awareness of emerging AI tools, models, and industry trends</li><li>Support internal incubation efforts and AI technology radar initiatives</li><li>Guide and mentor junior AI engineer and data analysts, providing technical direction, support, and feedback to elevate team expertise.</li></ul>Required Qualifications<ul><li>8+ years of experience in solution architecture, AI/ML engineering, or related roles</li><li>Strong understanding of AI/ML concepts, GenAI architectures, and modern model ecosystems</li><li>Experience designing AI solutions for enterprise clients, including integration into business applications</li><li>Hands-on familiarity with GenAI patterns such as RAG, agents, embeddings, and prompt engineering</li><li>Strong communication and stakeholder management skills, especially in client-facing settings</li><li>Ability to work across pre-sales, delivery, and engineering teams</li></ul>Preferred Skills<ul><li>Experience with cloud AI platforms (Azure AI, AWS SageMaker, GCP Vertex AI)</li><li>Familiarity with MLOps practices, evaluation frameworks, and deployment pipelines</li><li>Exposure to enterprise security, compliance, and responsible AI governance</li><li>Prior experience in consulting or client delivery environments</li></ul>Job Type: Full-timePay: Rs500,000.00 - Rs600,000.00 per monthWork Location: In person

AI Solution Architect

Pixalate, Inc.

<div><h1 class="jobSectionHeader">Data Intelligence Analyst</h1>
Employment Type: Full-Time 
Location: Remote, Pakistan 
Level: Mid to Senior (PhD Required)<h2 class="jobSectionHeader">
About the Role</h2>
We're looking for a quantitatively-strong data professional who can bridge rigorous statistical thinking with hands-on AI development. You'll work across Pixalate's full product suite &mdash; trust &amp; safety, ad fraud detection, brand safety, and more &mdash; using your background in statistics and ML to build intelligent agents and automated pipelines that keep our data accurate, our models honest, and our products reliable.
This role is for someone who understands data deeply and can translate that into working AI systems that do the checking, flagging, and quality assurance at scale.
Responsibilities<ul><li>
Analyze traffic, behavioral, and signals data to identify patterns, anomalies, and data quality issues</li><li>
Translate complex quantitative findings into clear, actionable recommendations for engineering, product, and cross-functional teams</li><li>
Design and maintain AI agents, dashboards and reporting pipelines to track data quality, trends, and product health over time</li></ul><ul><li>
Partner with engineering and product teams to ensure data quality and integrity across product pipelines</li><li>
Collaborate with AI/ML teams to close the feedback loop between QA findings and model improvements</li><li>
Support data needs across Pixalate's product portfolio &mdash; including supply-side intelligence, MFA detection, seller/app ratings, and compliance-related products</li></ul>
What We're Looking For
Must-Have<ul><li>
PhD in Statistics, Mathematics, Data Science, Computer Science, or a related quantitative field</li><li>
3&ndash;6 years of experience in a data science, ML, or data analytics role</li><li>
Strong statistical foundation &mdash; you understand distributions, hypothesis testing, model evaluation, and where things go wrong</li><li>
Hands-on experience building with LLMs and AI agents, including prompt engineering, tool use, and designing agentic workflows using existing frameworks (e.g. LangChain, LlamaIndex, CrewAI, AutoGen, or similar)</li><li>
Proficiency in Python and SQL</li><li>
Ability to think critically about data quality and model outputs &mdash; you're naturally skeptical and rigorous</li><li>
Clear written and verbal communication skills</li></ul>
Nice-to-Have<ul><li>
Prior experience in cybersecurity, fraud detection, trust &amp; safety, or digital advertising ecosystems</li><li>
Exposure to multi-agent orchestration patterns</li><li>
Comfort working in fast-moving environments with evolving product requirements</li></ul>
We're particularly interested in candidates who can demonstrate both theoretical depth and practical implementation skills. Show us how your research can transform the landscape of online trust and safety. 
 
Pixalate is an online trust and safety platform that protects businesses, consumers and children from deceptive, fraudulent and non-compliant mobile, CTV apps and websites. We're seeking a PhD-level AI Engineer to lead cutting-edge research in agentic AI systems, multimodal analysis, and advanced reasoning architectures that will directly impact millions of users worldwide. 
Our software and data have been used to unearth multiple high profile criminal and illegal surveillance cases including:<ul><li>
Gizmodo: An iCloud Feature Is Enabling a $65 Million Scam, New Research Says</li><li>
Adweek: A 7-Figure Ad Fraud Scheme Running on Roku Underlines Murkiness of CTV</li><li>
Washington Post: Your kids&rsquo; apps are spying on them</li><li>
Pro Publica: Porn, Piracy, Fraud: What Lurks Inside Google&rsquo;s Black Box Ad Empire</li><li>
ABC7 News: The State of Children's Privacy Online</li><li>
NBC News: How many apps are tracking your children</li></ul>
Our team of lawyers, data scientists, engineers, economists and researchers span globally with presence in California, New York, Washington DC, London and Singapore.<h1 class="jobSectionHeader">
Pixalate is an equal opportunity employer committed to building a diverse team. We particularly encourage applications from underrepresented groups in AI research.</h1>
XQZue0wI6K</div>

Data Intelligence Analyst (PhD Required)

Adaptive Teams

<div>We&rsquo;re building a team of AI Builder / Automation Operators who design and deploy AI agents and automation systems inside real businesses.
We&rsquo;re looking for an AI Automation Engineer to help build and deploy AI-powered workflows across our portfolio of companies. 
This role sits at the intersection of software engineering, automation, and modern AI tooling. 
You&rsquo;ll be working with cutting-edge tools like OpenClaw, Claude Code, and Perplexity Computer to build systems that automate real business processes across marketing, SEO, operations, and analytics. 
This is a great role for someone who enjoys experimenting with new AI tools and building practical solutions quickly.
Your Mission: Day to Day Responsibilities<ul><li>
Build and deploy AI agents and automation workflows</li><li>
Work with tools such as OpenClaw, Claude Code, and Perplexity Computer</li><li>
Design automations for marketing, SEO, operations, and analytics tasks</li><li>
Connect AI systems with APIs, databases, and internal tools</li><li>
Rapidly prototype and test new AI-powered workflows</li><li>
Continuously improve and iterate on automation systems</li><li>
Teach the team how to use agentic software, build AI-powered tools, and drive adoption of AI solutions across departments.</li></ul><div>
Technologies We Use 
<ul><li>OpenClaw</li><li>Claude Code</li><li>Perplexity Computer</li><li>Python or JavaScript</li><li>APIs and integrations</li><li>automation tools (Zapier / Make / n8n)</li><li>scraping and data pipelines</li></ul></div>
Your Toolbox: Skills to be Successful
Must-Have:<ul><li>
Have 1&ndash;5 years experience in software development, automation, or data work</li><li>
Know basic Python or JavaScript</li><li>
Are comfortable working with APIs and integrations</li><li>
Already experiment with AI tools like ChatGPT, Claude, or similar systems</li><li>
Enjoy building scrappy solutions quickly</li><li>
Are highly curious about new AI tools and workflows</li><li>
Ability to teach, communicate, and get people to actually use these tools</li><li>
Communication needs to be rock solid &mdash; strong English proficiency, clarity of thought, and the ability to explain complex concepts in simple terms.</li></ul><div>
Nice to Have 
<ul><li>experience with automation platforms (Zapier / Make / n8n)</li><li>scraping or data pipelines</li><li>growth automation or SEO automation</li><li>prompt engineering or LLM workflows</li></ul></div>
Your Perks: What's in it for you<ul><li> 
Full-time in an expanding project.</li><li>
Remote, flexible work environment.</li><li>
Opportunity to work with cutting-edge AI and automation technologies.</li><li>
Professional development and career growth opportunities.</li><li>
Join an impact-driven, innovative team.</li></ul>
Why Adaptive Teams? 
At Adaptive Teams, we don&rsquo;t just fill positions &ndash; we create pathways to success. Whether you&rsquo;re a seasoned pro or just starting out, we&rsquo;re here to help you grow, innovate, and make an impact. If you&rsquo;re looking for exciting opportunities and, a team that&rsquo;s as passionate as you are, this is the place to be.
What to Expect from Our Application Process? 
Once you apply, you&rsquo;ll receive an email guiding you through the next steps, including an assessment tailored to the role.
 
 
After that, we&rsquo;ll ask you a few brief questions about your experiences and work style&mdash;this is your opportunity to showcase what makes you unique and how you approach challenges. Be sure to check your inbox (and your spam folder, just in case) for further instructions. 
 
We understand your time is valuable, so we strive to keep the assessments under 45 minutes whenever possible, though some roles may require a slightly longer time investment. 
 
Once selected, you&rsquo;ll have the chance to schedule an interview with our team. We aim to make the process as smooth and transparent as possible, so you&rsquo;ll always know where you stand.</div>

AI Agent Maestro

Tkxel

<div>
 
 A skilled Generative AI Engineer will be responsible for designing, developing, and deploying cutting-edge generative AI models for various applications such as chatbots, image, ocr, speech generation, etc. You will work closely with data scientists, and product teams to create AI systems that push the boundaries of creativity and automation.
 
 
 <ul>
 <li>
 Model Development: Design and develop generative models using state-of-the-art techniques (e.g., Custom Transformers).
 
 </li>
 <li>
 Model Selection and Deployment: Chose suitable 3rd party close or open-source models and embeddings, and create prompts, examples, and AI pipelines.
 
 </li>
 <li>
 Data Preparation: Collaborate with data engineers and scientists to collect, preprocess, and manage large datasets for training generative models.
 
 </li>
 <li>
 Model Training &amp; Optimization: Fine-tune models for specific use cases, ensuring scalability and high performance.
 
 </li>
 <li>
 Integration &amp; Deployment: Work with DevOps and engineering teams to deploy models into production environments.
 
 </li>
 <li>
 Testing &amp; Validation: Develop testing frameworks to ensure models meet required performance metrics in real-world scenarios.
 
 </li>
 <li>
 Collaboration: Collaborate with cross-functional teams, including design, product, and engineering, to identify opportunities for generative AI applications.
 
 </li>
 <li>
 AI Research: Stay up-to-date with the latest advancements in generative AI and apply research findings to enhance existing solutions
 
 </li>
 <li>
 Documentation: Write and maintain comprehensive documentation for developed models and systems.
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 
 Skills:
 
 
 <ul>
 <li>
 Proven experience in building and deploying generative AI models in productive environment.
 
 </li>
 <li>
 Understanding of Knowledge Graphs and experience in Graph databases (neo4j preferred).
 
 </li>
 <li>
 Experience with cloud platforms (Azure preferred).
 
 </li>
 </ul>
 
 
 Technical Skills:
 
 
 
 <ul>
 <li>
 Strong programming skills in Python.
 
 </li>
 <li>
 Expertise in GenAI / Agentic programming frameworks (e.g. Langchain, LangGraph; llama).
 
 </li>
 <li>
 Proficiency with MLOps tools (e.g., Docker, Kubernetes, MLflow).
 
 </li>
 <li>
 Expertise in Databases and RaGs (e.g. Postgresql, Pinecone, Azure AI Search).
 
 </li>
 <li>
 Strong prompting, problem-solving and analytical skills.
 
 </li>
 <li>
 Excellent communication and teamwork abilities.
 
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment.
 
 </li>
 </ul>
 
 
 Education:
 
 
 
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
 
 
 
 
 Certifications:
 
 
 
 <ul>
 <li>
 in AI, Machine Learning, or a related field.
 
 </li>
 <li>
 Publications or contributions to AI research in top-tier conferences or journals.
 
 </li>
 </ul>
 
 
 Experience:
 
 
 
 <ul>
 <li>
 At least 4 to 6 years of experience
 
 </li>
 <li>
 In the application of generative models in industries like gaming, entertainment, or content creation.
 
 </li>
 <li>
 Certifications in AI, Machine Learning, or a related field.
 
 </li>
 </ul>
</div>

Senior GEN AI Engineer

Cloudelligent

<div>Cloudelligent is looking for competent candidates for the position of Service Desk Engineer (L1) 
 
Position Title: Service Desk Engineer 
Location: Lahore 
 
About Cloudelligent 
 
Cloudelligent is an AWS Premier Consulting Partner helping organizations modernize, migrate, and innovate in the cloud. We work at the intersection of cloud, data, and AI to solve real business problems and not just implement technology. With an international footprint, Cloudelligent is customer-obsessed and focuses on Generative AI and Agentic AI to deliver practical, scalable solutions. 
 
Responsibilities<ul><li>
Perform Level 1 diagnosis and resolution of incidents / requests raised by end users.</li><li>
Responsible for supporting the IT Help Desk Services organization to ensure services are delivered to meet customer business needs and expectations, within SLA standards</li><li>
Act as a contact point between Helpdesk Operations and Other external and internal teams.</li><li>
Escalate issues to relevant teams based on SOP &amp; Escalation matrix</li><li>
Provide Incident Response (IR) support when analysis confirms actionable incident</li><li>
Perform incident closure, verifying problem resolution with Users and documenting resolution procedures</li><li>
Monitor and escalate service failure alerts and follow up with relevant teams to fix these with minimal impact.</li><li>
IT Support relating to technical issues involving Microsoft/AWS core business applications and operating systems</li><li>
Troubleshoot software, hardware, and network issues.</li><li>
Guide end-users on how to setup and use new technologies.</li><li>
Perform vendor management for procurement and support (Cloudelligent/Clients).</li><li>
Assist Cloud team with migration and supporting infrastructure on Azure/AWS.</li><li>
Backup and restore the organization's data files and systems.</li><li>
Install, configure, and upgrade PC software and operating systems.</li><li>
Manage inventory and track IT assets used by the organization.</li><li>
Author, edit, and manage IT documentation to improve our clients' IT policy, procedures, and protocols.</li><li>
Manage the helpdesk collaboratively for optimal performance and support by resolving incidents in a timely manner.</li><li>
Prepare and present weekly updates.</li><li>
Participate in IT projects.</li></ul>
Requirements<ul><li>
Bachelor's degree in information technology, computer science or related field.</li><li>
2+ years of experience providing customer-focused technical support.</li><li>
Exceptional verbal, written, and interpersonal communication skills.</li><li>
Hands on experience with service desk ticketing systems, email, online chat, service support process, and SLA.</li><li>
Strong interest in IT support, technical troubleshooting, and cloud technologies.</li><li>
Basic understanding of IT methodologies and service desk operations.</li><li>
Hands-on experience with Windows operating systems and Microsoft Office tools (e.g., Office 365). Knowledge of ticketing tools (e.g., Zendesk, Jira) is a plus.</li><li>
Knowledge of cloud platforms (AWS or Azure) is a plus.</li><li>
Should be able to work in 24/7 environments.</li><li>
Self-driven, ability to work independently or as part of a project team with limited supervision.</li><li>
AWS Cloud Practitioner certification is highly preferred.</li></ul>
thH2mDx6RU</div>

Service Desk Engineer

HR POD Careers

<div>
 
 Requirements:
 
 
 
 <ul>
 <li>
 4 years of experience as a fullstack or backend engineer
 </li>
 <li>
 Strong proficiency in Python and JavaScript/TypeScript
 </li>
 <li>
 Experience with FastAPI / Django / Node.js and React / Next.js
 </li>
 <li>
 Solid understanding of distributed systems and async architectures
 </li>
 <li>
 Hands-on experience deploying LLMs such as GPT-4/4.1, Claude, LLaMA, Mistral, Mixtral
 </li>
 <li>
 Experience serving models using vLLM, Triton, TGI, or similar frameworks
 </li>
 <li>
 Strong understanding of transformer models and inference trade-offs
 </li>
 <li>
 Experience with embeddings, vector search, and RAG architectures
 </li>
 <li>
 Experience with AWS, GCP, or Azure (GPU workloads preferred)
 </li>
 <li>
 Strong Docker and Kubernetes experience
 </li>
 <li>
 Familiarity with CI/CD pipelines for ML systems
 </li>
 <li>
 Experience with observability tools (Prometheus, Grafana, OpenTelemetry)
 </li>
 <li>
 Experience with multimodal AI (audio, video, image models)
 </li>
 <li>
 Experience optimizing LLM inference costs at scale
 </li>
 <li>
 Startup or high-growth environment experience
 </li>
 <li>
 Prior work on AI-first or AI-native products
 
 
 
 </li>
 </ul>
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Deploy and optimize LLMs (open-source and commercial) for production use
 </li>
 <li>
 Implement inference optimization techniques (quantization, batching, caching, distillation)
 </li>
 <li>
 Build and maintain RAG pipelines (embeddings, vector databases, retrieval strategies)
 </li>
 <li>
 Evaluate and improve model quality (latency, accuracy, hallucination reduction, cost)
 </li>
 <li>
 Implement prompt management, versioning, and A/B testing
 </li>
 <li>
 Design and develop scalable APIs for AI-driven features
 </li>
 <li>
 Deploy and manage model-serving infrastructure (Docker, Kubernetes, GPUs)
 </li>
 <li>
 Optimize hardware utilization for inference workloads
 </li>
 <li>
 Implement monitoring, logging, and alerting for AI services
 </li>
 <li>
 Ensure security, data privacy, and compliance across AI pipelines
 </li>
 <li>
 Build internal tools and user-facing interfaces for AI workflows
 </li>
 <li>
 Integrate LLM services into web and mobile applications
 </li>
 <li>
 Work closely onsite with product managers, designers, and data teams
 </li>
 <li>
 Rapidly prototype, test, and iterate on AI-powered features
 
 </li>
 </ul>
</div>

Fullstack AI Engineer (Onsite, Lahore, PKR Salary)

Explore 302+ Ai solution engineer agentic prompt in Lahore this March. Find roles across top companies and apply now to boost your career.