planning engineer

junior engineer electrical Jobs in Pakistan

junior engineer electrical

ai/ml engineer

civil engineer

procurement engineer

ai engineer

Qureos

AI Engineer Company:** Qureos Location:** Karachi, Pakistan Employment Type:** Full-Time About Qureos Qureos is a dynamic and forward-thinking organisation dedicated to shaping the future of career development. We are committed to empowering professionals by connecting them with meaningful opportunities, mentorship, and the skills needed to thrive in a competitive landscape. Our innovative platform leverages technology to bridge the gap between talent and industry, and we are now seeking a talented AI Engineer to join our pioneering team. Job Overview We are looking for a highly skilled and motivated AI Engineer to join our team in Karachi. The ideal candidate will be passionate about artificial intelligence and its application in solving real-world challenges. You will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models that power our platform's core features, from intelligent job matching and skill analysis to personalised career guidance. This is an exciting opportunity to make a significant impact within a growing company at the forefront of the EdTech and recruitment industries. Responsibilities - Design, build, and deploy robust machine learning models to enhance our platform's capabilities. - Develop and refine recommendation systems to accurately match candidates with relevant job opportunities, projects, and mentors. - Utilise Natural Language Processing (NLP) techniques to analyse and interpret data from resumes, job descriptions, and user interactions. - Collaborate with cross-functional teams, including software engineers, product managers, and data scientists, to integrate AI solutions into our products. - Manage the end-to-end lifecycle of AI models, including data collection, preprocessing, training, evaluation, and deployment. - Stay current with the latest advancements in AI, machine learning, and deep learning to drive continuous innovation. - Ensure the ethical and responsible use of AI, maintaining fairness and avoiding bias in all models. - Optimise AI models for performance, scalability, and efficiency. Qualifications - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field. - Proven commercial experience as an AI Engineer, Machine Learning Engineer, or in a similar role. - Strong programming proficiency in Python and extensive experience with key AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn. - Solid understanding of machine learning algorithms, deep learning, NLP, and statistical modelling. - Experience with data processing and analysis using tools like Pandas and NumPy. - Familiarity with cloud computing platforms (e.g., AWS, GCP, Azure) and MLOps practices is highly desirable. - Excellent problem-solving abilities and a creative, analytical mindset. - Strong communication skills and the ability to work effectively in a collaborative team environment. Benefits - A competitive salary and comprehensive benefits package. - Opportunities for professional development and continuous learning. - A vibrant and supportive work culture that encourages innovation and collaboration. - The chance to work on meaningful projects that directly impact people's careers. - Flexible and modern working environment.

AI Engineer

Digitrends

AI EngineerKey Responsibilities<ul><li>Design, develop, and fine-tune LLM-based AI models for real-world applications.</li><li>Implement custom LLM training, reinforcement learning, and fine-tuning using open-source and proprietary models like GPT, Llama, Mistral, Claude, or Falcon.</li><li>Optimize model efficiency, inference speed, and resource utilization for deployment in cloud or on-premise environments.</li><li>Build data pipelines for training and evaluating AI models.</li><li>Implement prompt engineering, retrieval-augmented generation (RAG), and memory-based techniques for improved performance.</li><li>Integrate LLMs into applications using APIs, LangChain, vector databases (e.g., Pinecone, FAISS, ChromaDB).</li><li>Develop custom embeddings, transformers, and tokenization strategies for specific use cases.</li><li>Work closely with MLOps, backend engineers, and data scientists to ensure smooth deployment and monitoring of AI solutions.</li><li>Research and stay updated on emerging trends in NLP, generative AI, and model compression techniques.</li><li>Ensure compliance with ethical AI principles and data security standards when handling sensitive data.</li></ul>Required Skills:<ul><li>Strong knowledge of Python and frameworks like PyTorch, TensorFlow, JAX.</li><li>Experience with Hugging Face Transformers, OpenAI API, LangChain, and vector databases.</li><li>Understanding of LLM architectures, fine-tuning techniques (LoRA, QLoRA, PEFT), and model distillation.</li><li>Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).</li><li>Familiarity with distributed computing, GPU acceleration (CUDA, TensorRT), and multi-node training.</li><li>Knowledge of AI safety, bias mitigation, and responsible AI development.</li><li>Strong problem-solving, debugging, and optimization skills.</li><li>Excellent communication and teamwork skills.</li></ul>Preferred Qualifications<ul><li>Experience in building domain-specific AI assistants or chatbots.</li><li>Knowledge of multimodal AI, speech-to-text, text-to-image models.</li><li>Contributions to open-source AI projects or research papers in NLP/LLMs.</li></ul>Key Benefits<ul><li>Working in a fast-paced tech start-up environment</li><li>Attractive salary and incentives for high-quality work</li><li>Flexible schedule</li><li>Health Insurance</li><li>Five Working Days</li><li>Provident Fund</li></ul>Job Type: Full-timeWork Location: In person

My Digital People

We are seeking a highly motivated and hands-on AI Engineer with 2&ndash;3 years of experience in building, deploying, and maintaining AI-powered systems and workflows. This role focuses on practical implementation across Generative AI, Agentic Automation, Voice AI, and Open-Source Model Deployment.The ideal candidate will have experience designing intelligent automation pipelines, deploying AI models in cloud environments, and rapidly adapting to new AI tools, frameworks, and emerging technologies. You will collaborate closely with cross-functional teams to deliver scalable, production-ready AI solutions.Key ResponsibilitiesAgentic AI &amp; Workflow Automation<ul><li>Design and build agentic AI workflows and automation pipelines using frameworks such as LangChain, LangGraph, and similar tools.</li><li>Architect multi-agent systems where multiple AI agents collaborate, delegate tasks, and execute complex workflows autonomously.</li><li>Develop AI-powered automation systems using no-code/low-code platforms including n8n, Make, Flowise, alongside custom Python development.</li></ul>Voice AI Development<ul><li>Build and deploy voice agents using tools such as Vapi, ElevenLabs, or comparable platforms.</li><li>Integrate speech-to-text (STT), text-to-speech (TTS), and conversational voice capabilities into AI solutions.</li></ul>Model Deployment &amp; Infrastructure<ul><li>Deploy, host, and maintain open-source AI models for chat, voice, image, and video generation on cloud/GPU infrastructure.</li><li>Fine-tune open-source models using LoRA / QLoRA for domain-specific applications.</li><li>Manage cloud environments including provisioning, scaling, monitoring, and cost optimization.</li></ul>RAG / Knowledge Base Management<ul><li>Design and maintain knowledge bases and data pipelines, including:</li><li>Document ingestion and processing</li><li>Chunking strategies</li><li>Embedding pipelines</li><li>RAG source management and freshness</li></ul>Prompt Engineering &amp; AI Architecture<ul><li>Craft production-grade prompts and system prompts for reliable AI outputs.</li><li>Design multi-turn conversational flows and optimize context window management.</li><li>Select and orchestrate appropriate AI models across providers (OpenAI, Anthropic, Google, Open Source) based on use-case requirements.</li></ul>Testing, Evaluation &amp; Monitoring<ul><li>Build evaluation/testing pipelines for AI outputs, including:</li><li>LLM-as-Judge frameworks</li><li>Human evaluation workflows</li><li>Prompt regression testing</li><li>Set up observability/logging systems using tools such as LangSmith, Helicone, or custom monitoring solutions.</li><li>Monitor agent performance, trace failures, and improve output quality over time.</li></ul>Security &amp; Optimization<ul><li>Implement AI security guardrails, including:</li><li>Prompt injection mitigation</li><li>Output filtering</li><li>PII protection</li><li>Safe-by-default AI architecture</li><li>Optimize inference costs using:</li><li>Token management</li><li>Caching strategies</li><li>Smart model routing</li></ul>Engineering Best Practices<ul><li>Contribute to CI/CD pipelines and maintain clean, scalable, production-ready codebases.</li><li>Collaborate with teams to integrate AI solutions into products and business processes.</li><li>Continuously explore and integrate emerging AI tools, models, and frameworks.</li></ul>Required Skills &amp; ExperienceExperience<ul><li>2&ndash;3 years of experience in AI/ML systems, AI-focused software engineering, or related technical roles.</li><li>Proven experience building and deploying AI-powered systems in production.</li></ul>AI &amp; Automation<ul><li>Hands-on experience with:</li><li>Agentic AI workflows</li><li>AI automation pipelines</li><li>Multi-agent architectures</li><li>Task delegation patterns</li></ul>Programming &amp; Frameworks<ul><li>Strong proficiency in Python</li><li>Experience with:</li><li>LangChain / LangGraph / Similar orchestration frameworks</li><li>REST APIs / Webhooks / Microservices</li><li>MCP (Model Context Protocol) for tool/service integrations</li></ul>Voice AI<ul><li>Experience with:</li><li>Vapi</li><li>ElevenLabs</li><li>Other voice/conversational AI platforms</li></ul>Deployment &amp; Infrastructure<ul><li>Ability to deploy/serve:</li><li>Open-source LLMs</li><li>Image/Video Generation Models</li><li>TTS/STT Models</li><li>Experience with:</li><li>Docker</li><li>Basic Kubernetes</li><li>GPU/cloud hosting environments</li></ul>Fine-Tuning / Optimization<ul><li>Familiarity with:</li><li>LoRA / QLoRA</li><li>Model customization techniques</li></ul>Evaluation &amp; Testing<ul><li>Experience building:</li><li>AI evaluation pipelines</li><li>Prompt testing/regression systems</li></ul>Security<ul><li>Understanding of:</li><li>Prompt injection defense</li><li>Output moderation/filtering</li><li>PII handling</li></ul>Cloud Platforms<ul><li>Experience with:</li><li>Azure / AWS / GCP</li><li>Understanding of:</li><li>Hosting</li><li>Scaling</li><li>Monitoring</li><li>Cost control</li></ul>Observability<ul><li>Familiarity with:</li><li>LangSmith</li><li>Helicone</li><li>AI tracing/debugging tools</li></ul>Knowledge Base / RAG<ul><li>Strong understanding of:</li><li>Embedding pipelines</li><li>Vector search</li><li>Chunking/document strategies</li><li>RAG maintenance</li></ul>Nice to Have<ul><li>Experience with Vector Databases:</li><li>Pinecone, FAISS, Weaviate, Qdrant</li><li>Familiarity with:</li><li>Claude Code / Cursor / AI-assisted development tools</li><li>Experience with:</li><li>ComfyUI / Stable Diffusion / Open-source image-video generation</li><li>Knowledge of:</li><li>WebSockets / Real-time Streaming / Telephony Integrations</li><li>Exposure to:</li><li>Azure ML / Databricks / Distributed Training / Mixed Precision (fp16)</li><li>Understanding of:</li><li>Responsible AI / Governance Practices</li></ul>Education<ul><li>Bachelor&rsquo;s degree in Computer Science, Engineering, Data Science, or related field</li><li>OR equivalent practical experience</li></ul>Job Type: Full-timeWork Location: In person

Senior AI Engineer

Contour Software

<div>
 
 About Contour
 
 
 
 Contour Software has grown from a dozen people to over 2,000 staff across 3 cities, in less than 14 years.
 
 
 As a subsidiary of Constellation Software Inc., we are proud to be part of a global enterprise software conglomerate that has grown to become one of the top 10 software companies in the world, with employees and customers in 100+ countries. With a broad-based and ever-growing portfolio of market-leading, vertical-market enterprise solutions covering more than 100 industry domains in predominantly mature markets, CSI's recipe creates the perfect environment for professionals to build fulfilling, long-term careers.
 
 
 What started as an R&amp;D &amp; Accounting back-office, has progressed into a full-service Global Centre serving all functions and departments, at the divisional as well as operating group/corporate level. Today Contour employees, located in Karachi, Lahore &amp; Islamabad, are serving CSI divisions located in time zones spanning the globe, from Sydney to Vancouver. With the global growth of Constellation as the wind in our sails, we are only just getting started!
 
 
 
 Job Description: AI Engineer - DIS
 
 
 
 
 The Division
 
 
 
 Dealer Information Systems Corporation (Client) is a leading business management software provider to agricultural, construction, truck refrigeration and lift truck dealers in North America. Founded in 1980, and based in Bellingham WA (USA); we are a team of 100+ professionals who help customers with Software, Hardware and Network Management so they don't have to deal with many vendors but just one full-service company.
 
 
 Division Profile: https://www.discorp.com/
 
 
 
 The Position
 
 
 
 The division is seeking a
 
 AI Engineer
 
 to join its team. This individual will be responsible for designing and developing the AI platform, including building GenAI systems from the ground up, creating production-ready retrieval-augmented generation (RAG) solutions, developing semantic search and embeddings pipelines, and architecting advanced LLM orchestration layers for complex workflows and agentic systems.
 
 
 The chosen individual will work out of the Contour Software Lahore or Islamabad resource center office as an extension of the division-based R&amp;D department.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 AI Platform Architecture:
 </li>
 <li>
 Design and implement the enterprise GenAI architecture from the ground up.
 </li>
 <li>
 Build production-ready RAG systems, semantic search pipelines, embeddings workflows, and vector data infrastructure.
 </li>
 <li>
 Architect LLM orchestration layers for multi-step reasoning, tool usage, and AI-driven workflows.
 </li>
 <li>
 Define scalable patterns for agentic systems and domain-aware assistants.
 </li>
 <li>
 LLM Systems in Production:
 </li>
 <li>
 Integrate LLM providers (OpenAI, Anthropic, open-weight models, or hybrid approaches) into secure, observable enterprise systems.
 </li>
 <li>
 Build AI service layers, orchestration APIs, caching, evaluation pipelines, and monitoring frameworks.
 </li>
 <li>
 Design for latency, cost optimization, safety, and reliability at scale.
 </li>
 <li>
 Establish measurable quality benchmarks and evaluation strategies for AI outputs.
 </li>
 <li>
 Responsible &amp; Enterprise-Ready AI:
 </li>
 <li>
 Implement guardrails, policy enforcement, and hallucination mitigation mechanisms.
 </li>
 <li>
 Define governance standards for data provenance, auditability, and transparency.
 </li>
 <li>
 Build AI systems that engineering and compliance teams can trust.
 </li>
 <li>
 AI Adoption &amp; Enablement:
 </li>
 <li>
 Translate high-impact business problems into AI-native architectures.
 </li>
 <li>
 Partner with product leaders to prioritize AI features that drive measurable value.
 </li>
 <li>
 Mentor engineers and raise the organization&rsquo;s AI maturity.
 </li>
 <li>
 Move teams from PoCs to scalable, production-grade AI capabilities.
 
 
 </li>
 </ul>
 
 Required Education And Experience
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Computer Science, Computer Engineering or equivalent technical Degree; or equivalent combination of education and experience.
 </li>
 <li>
 5+ years building applied AI/ML systems, with strong recent experience in Generative AI.
 </li>
 <li>
 Proven experience shipping LLM-powered applications (RAG, embeddings, prompt strategies, model adaptation).
 </li>
 <li>
 Deep understanding of vector search, semantic retrieval, and AI system evaluation.
 </li>
 <li>
 Experience building orchestration layers using frameworks such as LangChain, Semantic Kernel, LlamaIndex, or designing equivalent custom architectures.
 </li>
 <li>
 Strong cloud-native engineering experience (AWS, Azure, or GCP).
 </li>
 <li>
 Advanced Python skills and experience building scalable backend systems and APIs.
 </li>
 <li>
 Experience implementing observability, CI/CD, and monitoring for AI systems in production.
 </li>
 <li>
 Ability to balance innovation with enterprise constraints (security, compliance, reliability).
 
 
 </li>
 </ul>
 
 What Makes This Role Different
 
 
 
 <ul>
 <li>
 You are not inheriting a legacy AI stack; you will help define it.
 </li>
 <li>
 You will shape AI standards, architecture, and governance across the division.
 </li>
 <li>
 Your work will power real customer-facing products and operational intelligence.
 </li>
 <li>
 You will operate at the intersection of AI strategy, architecture, and hands-on engineering.
 
 
 </li>
 </ul>
 
 Exciting Benefits We Offer
 
 
 
 <ul>
 <li>
 Market-leading Salary
 </li>
 <li>
 Medical Coverage &ndash; Self &amp; Dependents
 </li>
 <li>
 Parents Medical Coverage
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 Employee Performance-based bonuses
 </li>
 <li>
 Home Internet Subsidy
 </li>
 <li>
 Conveyance Allowance
 </li>
 <li>
 Profit Sharing Plan [Tenured Employees Only]
 </li>
 <li>
 Life Benefit
 </li>
 <li>
 Child Care Facility
 </li>
 <li>
 Company Provided Lunch/Dinner
 </li>
 <li>
 Professional Development Budget
 </li>
 <li>
 Recreational area for in-house games
 </li>
 <li>
 Sporadic On-shore training opportunities
 </li>
 <li>
 Friendly work environment
 </li>
 <li>
 Leave Encashment
 
 
 </li>
 </ul>
 
 
 Disclaimer:
 
 
 
 At Contour, we attribute our success to the unique contributions of our diverse staff. We&rsquo;re committed to fostering a culture of respect that thrives on the varied perspectives and experiences of all individuals we recruit, employ, promote, and compensate. Since day one, we&rsquo;ve adhered to a policy that champions a work environment honoring the worth and dignity of each person while being free from all forms of employment discrimination.
 
 
 
 
 In our continuous effort to promote inclusivity, we extend our commitment to individuals with special needs by providing reasonable accommodations. We actively encourage qualified individuals with special needs to apply for the various openings within our company. Should you require assistance in completing the application process or have any inquiries regarding special facilities, please do not hesitate to contact our HR team. Your unique talents and abilities are welcomed and valued here.
 
</div>

Junior AI Engineer

Fusemachines

<div>
 
 About Fusemachines
 
 
 
 Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic) and more than 450 full-time employees, Fusemachines brings global AI expertise to transform companies worldwide. Founded in 2013, Fusemachines is a global provider of enterprise AI products and services, on a mission to democratize AI. Leveraging proprietary AI Studio and AI Engines, the company helps drive the clients&rsquo; AI Enterprise Transformation, regardless of where they are in their Digital AI journeys. With offices in North America, Asia, and Latin America, Fusemachines provides a suite of enterprise AI offerings and specialty services that allow organizations of any size to implement and scale AI. Fusemachines serves companies in industries such as retail, manufacturing, and government.
 
 
 Fusemachines continues to actively pursue the mission of democratizing AI for the masses by providing high-quality AI education in underserved communities and helping organizations achieve their full potential with AI.
 
 
 
 Type: Remote, Full-time
 
 
 
 Role Overview
 
 
 As an Applied AI Engineer(Automation), you will deliver high-impact AI and automation solutions for clients&mdash;owning work from requirements discovery through prototype and production deployment. You&rsquo;ll build reliable, maintainable systems that integrate LLMs into real business workflows via APIs, automation platforms, and backend services.
 
 
 This is a mid-to-senior individual contributor role. You&rsquo;ll collaborate closely with Solutions Architects, Delivery/Engagement leads, and Product Managers to scope, build, ship, and iterate on client solutions.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design &amp; Deploy: Design, develop, and deploy tailored AI and automation solutions aligned to client objectives
 </li>
 <li>
 Build Workflows &amp; Services: Translate business problems into production-grade AI workflows and services using Python, automation tools (n8n/Make/Zapier or similar), and LLM platforms/APIs (e.g., OpenAI, IBM watsonx.ai, Amazon Bedrock), plus retrieval systems
 </li>
 <li>
 Agentic Systems: Build and deploy agentic workflows using LangChain, LangGraph, and Google ADK, including tool calling and structured outputs
 </li>
 <li>
 Retrieval &amp; Knowledge Systems: Implement RAG pipelines using vector databases and search technologies (e.g., Pinecone, Elasticsearch, pgvector) and graph databases when appropriate
 </li>
 <li>
 Prototype &rarr; Production: Ship fast prototypes, then harden them into scalable systems (testing, reliability, deployment, monitoring) independently or with a team
 </li>
 <li>
 Client Partnership: Participate in discovery, run technical calls/demos when needed, and communicate tradeoffs clearly to client and internal stakeholders
 </li>
 <li>
 Ongoing Support &amp; Iteration: Improve deployed solutions through feature work, bug fixes, monitoring, prompt/model improvements, and additional automations
 </li>
 <li>
 Documentation: Produce clear technical documentation, client demos, and internal playbooks to enable reuse and scalability
 </li>
 <li>
 Continuous Learning: Stay current on LLM tooling and delivery best practices to improve quality and speed
 
 
 </li>
 </ul>
 Success in This Role Looks Like
 
 
 <ul>
 <li>
 Solutions consistently meet or exceed client expectations and show measurable impact (time saved, cost reduced, improved conversion/deflection, faster cycle time)
 </li>
 <li>
 Clients trust you as a go-to engineering partner and expand usage of deployed AI workflows
 </li>
 <li>
 Deliveries are production-ready: monitored, testable, documented, and maintainable
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 3&ndash;8 years of software or AI engineering experience (mid-to-senior)
 </li>
 <li>
 2&ndash;3+ years of AI Automation, Generative AI, or Agentic AI (mid-to-senior)
 </li>
 <li>
 Strong Python engineering skills and experience building APIs/services (e.g., FastAPI)
 </li>
 <li>
 Hands-on experience integrating LLMs (e.g., OpenAI APIs or equivalents), including prompt design, structured outputs, and basic evaluation practices
 </li>
 <li>
 Experience with at least one workflow automation platform (n8n, Make, Zapier, or similar) and building reliable integrations
 </li>
 <li>
 Familiarity with RAG fundamentals and retrieval systems (embeddings, vector search); exposure to vector databases and/or Elasticsearch
 </li>
 <li>
 Production engineering fundamentals: Docker, cloud deployment (AWS/GCP/Azure/IBM), and experience with async/queuing patterns (e.g., Celery, Redis, Kafka)
 </li>
 <li>
 Comfort operating in a client-facing environment: technical calls, demos, and collaborating with cross-functional stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with fine-tuning LLMs or other ML models; broader ML exposure is a plus (not required)
 </li>
 <li>
 Familiarity with observability and tracing (e.g., LangSmith, OpenTelemetry) and prompt/version lifecycle management
 </li>
 <li>
 Experience with graph databases / knowledge graphs
 </li>
 <li>
 Familiarity with data governance and AI governance concepts (PII handling, auditability, access controls, risk awareness)
 </li>
 <li>
 Prior consulting experience or work in fast-paced startup environments
 
 
 </li>
 </ul>
 
 Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by applicable federal, state, or local laws.
 
 
 
 Powered by JazzHR
 
 
 DXag1oObkj
</div>

Applied AI Engineer (Automation)

Skylinx Technologies

AI Engineer &ndash; Lahore (On-Site)We are hiring an in-house AI Engineer to join our Lahore-based engineering team. This role focuses on building and deploying AI-driven features for our custom platform, including data intelligence, competitive alerts, and user-facing AI interfaces. You will work closely with backend and product teams and have direct ownership of AI integrations and deployments.Key Responsibilities<ul><li>Work with existing machine learning models and large language models (LLMs).</li><li>Deploy and manage AI/ML models on private cloud or self-hosted infrastructure.</li><li>Integrate third-party AI tools and APIs (e.g., Groq, OpenAI, Hugging Face, vector databases).</li><li>Build data pipelines by connecting AI models with relational and NoSQL databases.</li><li>Design and implement competitive alerts, insights, and notifications from structured and unstructured data.</li><li>Develop APIs and basic interfaces to expose AI capabilities within the platform.</li><li>Optimize inference performance, cost, and scalability.</li><li>Ensure data security and privacy in AI workflows.</li><li>Collaborate closely with in-house backend, frontend, and product teams.</li></ul>Required Skills &amp; Qualifications<ul><li>2+ years of professional experience in AI/ML engineering or applied AI development.</li><li>Strong proficiency in Python.</li><li>Hands-on experience with machine learning models, LLMs, or inference pipelines.</li><li>Experience deploying models on private cloud, VPS, or on-prem infrastructure.</li><li>Familiarity with third-party AI platforms and tools (e.g., Groq, OpenAI, Anthropic).</li><li>Experience working with databases (MySQL, PostgreSQL, MongoDB, etc.).</li><li>Ability to build and consume REST APIs.</li><li>Basic experience with interfaces or dashboards for AI-powered features.</li><li>Strong problem-solving skills and ability to work in an on-site team environment.</li></ul>Nice to Have<ul><li>Experience with RAG (Retrieval-Augmented Generation) systems.</li><li>Knowledge of alerting systems, recommendation engines, or analytics dashboards.</li><li>Familiarity with Docker, Kubernetes, or MLOps workflows.</li><li>Experience in SaaS or data-driven platforms.</li><li>Frontend exposure (React, Vue, or similar).</li></ul>What We Offer<ul><li>On-site role in Lahore with a collaborative engineering team.</li><li>Opportunity to build production-grade AI systems.</li><li>Competitive salary</li><li>Long-term growth and learning opportunities.</li><li>Direct impact on core product features.</li></ul>How to ApplyPlease share:<ul><li>Your updated resume</li><li>GitHub or project links (if available)</li><li>Short summary of AI or ML projects you&rsquo;ve worked on</li></ul>Work Location: In person

AI Engineer (In-House)

Hustech

hustech.ai builds production-ready AI systems for real businesses. We work with international clients across automation, NLP, Computer Vision, LLM applications, and custom AI products. Our focus is delivery, reliability, and real business outcomes.Role OverviewWe are hiring an experienced Applied AI Engineer who can take ownership of client projects from start to finish.This is not a research-only role and not for fresh graduates. We need someone who can understand client requirements, design the right solution, build the system, deploy it, and support delivery.You should be comfortable handling different AI project types such as ML, Deep Learning, NLP, Computer Vision, LLM apps, RAG systems, and AI agents.What You&rsquo;ll Do<ul><li>Join client calls and convert requirements into technical solutions</li><li>Design end-to-end AI system architecture</li><li>Build and train ML / DL models</li><li>Develop NLP, CV, LLM, RAG, and agent-based systems</li><li>Build APIs and backend services using Python / FastAPI</li><li>Deploy solutions using Docker and cloud platforms</li><li>Integrate AI systems into client products and workflows</li><li>Optimize performance, accuracy, and scalability</li><li>Debug issues and deliver production-ready systems</li><li>Communicate progress clearly with international clients</li></ul>Required Experience<ul><li>3+ years professional industry experience (real client work, not coursework)</li><li>Proven experience delivering end-to-end AI projects</li><li>Strong Python skills</li><li>Hands-on experience in several of these areas: ML, DL, NLP, CV, LLMs, RAG, Agents etc</li><li>Experience with PyTorch or TensorFlow</li><li>Experience with APIs, FastAPI, Docker, deployment</li><li>Strong problem-solving and system design skills</li><li>Good spoken and written English</li><li>Comfortable speaking with international clients</li></ul>Preferred Skills<ul><li>AWS, GCP, or Azure</li><li>Vector databases (Qdrant, Pinecone, Weaviate)</li><li>OpenCV, Hugging Face, Scikit-learn</li><li>Automation tools and workflow systems</li></ul>Who Should ApplyApply only if you have already built and delivered real AI systems for companies or clients and can work independently with ownership.EducationBachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, Machine Learning, or related field.Job Type: Full-timeExperience:<ul><li>AI Engineer: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

AI/ML Engineer

Explore 946+ Ai engineer in Pakistan this April. Find roles across top companies and apply now to boost your career.

946 ai engineer jobs In Pakistan

AI Engineer

AI Engineer

Senior AI Engineer

Junior AI Engineer

Applied AI Engineer (Automation)

AI Engineer (In-House)

AI/ML Engineer