software engineer

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ai engineer

Tech Solutions Pro

We&rsquo;re Hiring &ndash; AI Engineer (2&ndash;3 Years Experience)Location: OnsiteEmployment Type: Full-time---About the Role,We&rsquo;re looking for a passionate AI Engineer to join our team. You&rsquo;ll help implement AI in our products, client projects, and internal processes by designing, building, and deploying innovative AI solutions.---Key Responsibilities,Design, build, and deploy AI/ML models for real-world use cases.,Research and implement state-of-the-art AI techniques (NLP, Computer Vision, Generative AI, etc.).,Collaborate with teams to identify opportunities for AI-driven innovation.,Fine-tune and optimize models for performance and cost.,Develop APIs/microservices for AI model integration.,Monitor and maintain deployed models for scalability &amp; reliability.,Stay updated with the latest advancements in AI/ML.,---Requirements,2&ndash;3 years experience as an AI/ML Engineer, Data Scientist, or similar.,Strong in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn).,Experience with NLP, Computer Vision, or Generative AI.,Familiarity with cloud platforms (AWS, GCP, Azure).,Knowledge of APIs, Docker, Kubernetes for deployment.,Strong problem-solving and analytical skills.,---Nice to Have,Experience with LLMs (LangChain, Hugging Face, OpenAI APIs).,Knowledge of MLOps for deployment/monitoring AI systems.,Exposure to prompt engineering and fine-tuning LLMs.,---What We Offer,Work on cutting-edge AI projects across multiple domains.,A culture of innovation and continuous learning.,Competitive salary &amp; growth opportunities.,Collaborative environment with talented engineers.Job Type: Full-timePay: Rs100,000.00 - Rs120,000.00 per monthWork Location: In person

AI Engineer

Indigo Textile Pvt. Ltd.

We&rsquo;re Hiring &ndash; AI EngineerIndigo Textile Pvt. Ltd is looking for fresh graduates from NUST and FAST who are passionate about AI, ML, and deep learning to join our team.If you&rsquo;ve worked on ML/DL/NLP projects, have a GitHub portfolio, or completed an AI-related FYP, we&rsquo;d love to hear from you.Apply at: hr@indigo.com.pkPort QasimJob Type: Full-timeWork Location: In person

Quanrio LLP

Location: Karachi, Pakistan Experience Required: Minimum 1.5 yearsJob Description: We are seeking a passionate and skilled AI Engineer to join our team in Karachi. The ideal candidate will have at least 1.5 years of hands‑on experience in deploying and fine‑tuning open‑source Sovereign Large Language Models (LLMs). You will be responsible for building, optimizing, and scaling AI solutions, ensuring secure and efficient deployment of LLMs, and collaborating with cross‑functional teams to integrate advanced AI capabilities into our products.Key Responsibilities<ul><li>Deploy, configure, and manage open‑source Sovereign LLMs in production environments.</li><li>Fine‑tune LLMs for domain‑specific tasks such as text generation, summarization, and Q&amp;A.</li><li>Collaborate with data scientists and backend engineers to integrate AI models into applications.</li><li>Optimize model performance, latency, and scalability.</li><li>Ensure compliance with data privacy and security standards in AI deployments.</li><li>Conduct experiments, evaluate models, and document results for continuous improvement.</li><li>Stay updated with the latest advancements in AI/ML and open‑source LLM ecosystems.</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li><li>Minimum 1.5 years of professional experience in AI/ML engineering.</li><li>Hands‑on experience with open‑source LLM frameworks such as Hugging Face Transformers, LangChain, RAG pipelines, or similar.</li><li>Strong proficiency in Python and ML libraries (PyTorch, TensorFlow).</li><li>Experience with fine‑tuning techniques (LoRA, PEFT, parameter‑efficient training).</li><li>Familiarity with vector databases (Pinecone, Weaviate, FAISS) for retrieval‑augmented generation.</li><li>Knowledge of cloud platforms (AWS, Azure, GCP) and containerization tools like Docker/Kubernetes.</li><li>Understanding of MLOps practices, CI/CD pipelines, and model monitoring.</li><li>Strong problem‑solving skills and ability to work in collaborative teams.</li></ul>Job type: Full timeJob Type: Full-timePay: Rs150,000.00 - Rs180,000.00 per monthWork Location: In person

Argon Tech

We are seeking a senior level AWS AI Engineer to design and implement a scalable, production ready Retrieval Augmented Generation system fully native to Amazon AWS. This role is backend and infrastructure focused, with no frontend responsibilities.The ideal candidate has deep hands on experience with Amazon Bedrock and AWS managed services and has previously worked on RAG pipelines, LLM evaluation, and AI infrastructure at scale.Key Responsibilities<ul><li>Design and build RAG pipelines using Amazon Bedrock and Bedrock Knowledge Bases</li><li>Implement retrieval layers using Amazon OpenSearch or AWS RDS</li><li>Orchestrate inference, retrieval, and evaluation workflows using AWS Lambda</li><li>Enable switching and comparison between multiple LLMs within Bedrock, including native and external models such as GPT and Gemini</li><li>Build automated evaluation frameworks for prompt performance, output quality, and chain logic</li><li>Implement AI guardrails, governance, and scalability controls using AWS native tooling</li><li>Ensure the system is modular, testable, and ready for future expansion</li></ul>Required Skills and Experience<ul><li>Strong hands on experience with Amazon AWS services</li><li>Proven expertise in Amazon Bedrock and Bedrock Knowledge Bases</li><li>Experience with AWS Lambda, OpenSearch, and RDS</li><li>Solid understanding of Retrieval Augmented Generation architectures</li><li>Experience building evaluation or testing frameworks for LLM outputs</li><li>Ability to work without frontend or UI dependencies</li><li>Strong grasp of scalable and standardized cloud architecture</li></ul>Preferred Qualifications<ul><li>Experience comparing and benchmarking multiple LLMs in production</li><li>Familiarity with prompt engineering and chain of thought orchestration</li><li>Exposure to AWS guardrails, IAM, logging, and monitoring for AI systems</li><li>Background in MVP to production transitions for AI products</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Lahore Johar Town: Reliably commute or willing to relocate with an employer-provided relocation package (Preferred)</li></ul>Application Question(s):<ul><li>Please share your current salary, expected and notice period.</li></ul>Experience:<ul><li>AWS AI Development: 4 years (Preferred)</li></ul>Work Location: In person

AWS AI Engineer

Utopia Fulfillment

Senior AI Engineer &ndash; E-commerce DivisionLocation: On-site Company: Utopia Deals Experience: 3&ndash;5 Years Job Type: Full-timeAbout Utopia DealsUtopia Deals is a fast-growing e-commerce company focused on delivering exceptional value and customer experiences through data-driven innovation. We leverage advanced technology and AI to optimize pricing, personalization, supply chain efficiency, and customer engagement across our platforms.Role OverviewWe are seeking a Senior AI Engineer with 3&ndash;5 years of hands-on experience to join our E-commerce Division. In this role, you will design, build, and deploy AI/ML solutions that directly impact business performance, customer experience, and operational efficiency.Key Responsibilities<ul><li>Design, develop, and deploy machine learning and AI models for e-commerce use cases such as recommendations, demand forecasting, pricing optimization, fraud detection, and customer segmentation</li><li>Work closely with product managers, data engineers, and business stakeholders to translate business needs into scalable AI solutions</li><li>Build and maintain end-to-end ML pipelines, including data preprocessing, model training, evaluation, and deployment</li><li>Optimize model performance, scalability, and reliability in production environments</li><li>Analyze large datasets to extract insights and drive data-informed decisions</li><li>Stay updated with the latest AI/ML trends and recommend innovative solutions for business growth</li></ul>Required Qualifications<ul><li>3&ndash;5 years of professional experience as an AI Engineer, Machine Learning Engineer, or similar role</li><li>Strong proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn</li><li>Solid understanding of machine learning algorithms, deep learning, and statistical modeling</li><li>Experience working with large datasets, SQL/NoSQL databases, and data pipelines</li><li>Hands-on experience deploying ML models in production environments (cloud or on-premise)</li><li>Strong problem-solving skills and ability to work in a fast-paced environment</li></ul>Preferred Qualifications<ul><li>Experience in e-commerce, retail, or marketplace platforms</li><li>Knowledge of recommendation systems, NLP, or time-series forecasting</li><li>Experience with cloud platforms such as AWS, GCP, or Azure</li><li>Familiarity with MLOps tools and practices (CI/CD, model monitoring, versioning)</li></ul>What We Offer<ul><li>Competitive salary and performance-based incentives</li><li>Opportunity to work on real-world, high-impact AI problems</li><li>Collaborative and innovative work culture</li><li>Career growth and learning opportunities</li></ul>Share your resumes at ahmed.mazhar@utopiadeals.com with position title in Subjectline.Job Type: Full-timeWork Location: In person

Senior AI Engineer

Cinnova International

Job Overview:Cinnova is seeking an Agentic AI Engineer with 3 to 4 years of experience in AI-driven automation, workflow orchestration, and applied ML development. The role focuses on building and deploying multi-step agent workflows using state-of-the-art frameworks and automation platforms. The engineer will work closely with senior architects to convert requirements into stable, production-ready agentic solutions.Key Responsibilities:Agentic AI Development <ul><li>Build multi-step AI agent workflows using platforms such as Microsoft Copilot Studio, Azure AI Studio Agents, AWS Bedrock Agents, or automation tools like n8n and Make.</li><li>Implement intelligent retrieval, planning, tool calling, and step-by-step task automation using LangChain, LlamaIndex, or similar libraries.</li><li>Deploy and configure agent pipelines that integrate external APIs, databases, vector stores, RPA tools, and enterprise business systems.</li><li>Ensure workflows are reliable, observable, recoverable, and optimized for latency and cost. AI and ML Engineering</li><li>Train, fine-tune, or evaluate smaller models and embeddings for specific tasks.</li><li>Configure and deploy inference endpoints using AWS Sagemaker, Azure ML, GCP Vertex AI, or on-prem platforms such as MLflow or Kubeflow.</li><li>Manage model versioning, monitoring, experiment tracking, and data pipelines.</li></ul>Automation and Integration<ul><li>Build automations that connect AI agents with CRMs, ERPs, internal tools, ticketing systems, or cloud services.</li><li>Create reusable components for agent invocation, memory management, prompt templates, and decision trees.</li><li>Work closely with DevOps to ensure stable deployments, CI/CD, and secure execution. Quality, Testing, and Reliability</li><li>Conduct stress testing, fallback logic design, and scenario validation for agentic systems.</li><li>Identify failure modes and implement error handling, guardrails, and human-in-the-loop controls.</li></ul>Required Qualifications: <ul><li>3 to 4 years of experience in AI engineering, automation engineering, or ML implementation.</li><li>Hands-on experience with LangChain, LlamaIndex, or similar frameworks for agent development.</li><li>Experience using agent platforms such as Microsoft Copilot Stack, Azure AI Studio Agents, AWS Bedrock Agents, n8n, Make, or equivalent.</li><li>Familiarity with open-source ML tools: Kubeflow, MLflow, Ray, or similar.</li><li>Experience working with AWS, Azure, or GCP for deploying AI workloads.</li><li>Strong experience building workflows that integrate APIs, data pipelines, vector stores, and external systems.</li><li>Strong skills in Python or JavaScript for implementing agent logic.</li></ul>Perks and Benefits:<ul><li>Competitive Salary</li><li>Provident Fund and Medical Allowances</li><li>Professional Training and Certifications</li><li>Paid Time Off</li><li>Semi-Annual Performance Bonus and Awards</li><li>Hajj/Umrah Leaves</li><li>Maternity/Paternity Leaves</li><li>Wedding Leaves</li><li>Long Service Bonus and Awards</li><li>Friday Lunch</li><li>Company Sports, Game Nights, Dinners</li><li>Fun and Dynamic Working Environment</li></ul>About Cinnova:Cinnova is an innovation-focused software development company helping startups and established firms with their MVPs, product design, and ongoing software development needs. With a proven track record of contributing to continuous growth, Cinnova has been part of rapid expansions and some great exits for our clients. From Blockchain technology to IoT development, AI, Machine Learning, and beyond, we have always been at the forefront of the technology landscape by bringing innovation to both startups and growth companies.Cinnova = (C)reativity + (innova)tion. This is our guiding principal both internally for our employees and externally for our customers. With that in mind, we promote a startup culture and encourage innovative ideas to incorporate in our delivery to our clients. This has been very successful as we are proud to have members who come from a startup background and continue to help Cinnova being an innovation hub.Job Type: Full-timeWork Location: In person

Agentic AI Engineer

Telenor

<div>Position Title: Senior AI Engineer
Reporting to: Director Automation Hub
Job Group: 2/3
Location: Islamabad
Division: Telenor Shared Services Pakistan
Department: Automation Hub
Unit: Finance &amp; Procurement Tribe
About Telenor Shared Services Pakistan
Telenor Shared Services Pakistan delivers transactional business services in the areas of Finance &amp; Accounting and IT. Together with Telenor Shared Services Norway it delivers efficient business support to Telenor employees to make their work easier.
Position Related
We are seeking a Senior AI Engineer with strong expertise in designing, building, and deploying secure and scalable AI solutions within enterprise environments. This role requires a unique blend of technical depth, business understanding, and the ability to translate complex AI concepts into practical, value-driven outcomes.
The ideal candidate will have a strong background in AI engineering, experience with LLMs and RAG architecture, AI Ops and the ability to collaborate across teams to deliver high-impact AI solutions.
Goals
Key Responsibilities<ul><li>
Design and deploy enterprise-scale LLM and AI solutions for NLP/ML, conversational AI, automation and agentic workflows.</li><li>
Build and optimize RAG pipelines using enterprise data sources with security and compliance as core principles.</li><li>
Develop and manage distributed training, fine-tuning, and inference systems optimized for large-scale workloads on cloud environments.</li><li>
Integrate AI models into enterprise workflows, APIs, microservices, and cloud platforms.</li><li>
Implement AIOps best practices for continuous integration, deployment, monitoring, governance, and lifecycle management of AI models.</li><li>
Ensure responsible AI usage, including explainability, bias mitigation, security, and auditability.</li></ul><ul><li>
Work closely with cross functional/technical teams to align AI solutions with business priorities,</li><li>
Translate functional requirements and communicate complex AI concepts clearly to technical and non-technical stakeholders.</li></ul>
Note: Above goals and job descriptions are indicative and subject to change
Experience &amp; Qualification<ul><li>
Bachelor&rsquo;s or master&rsquo;s in computer science, Software Engineering, AI/ML, Data Science, or a related field.</li><li>
7+ years of experience in AI/ML engineering or software engineering.</li><li>
At least 2&ndash;3 years of experience with LLM-based AI solutions in enterprise environments.</li><li>
Demonstrated ability to manage end-to-end delivery, including requirement gathering, solution design, implementation, and stakeholder communication.</li></ul>
Required Technical Skills<ul><li>
Strong proficiency in Python, clean architecture, and production-grade API development.</li><li>
Deep experience with LLM frameworks and tooling such as LangChain, LangGraph, LlamaIndex, or similar orchestration and agent frameworks.</li><li>
Experience with RAG systems, vector databases, and similarity search technologies.</li><li>
Expertise in model optimization: parameter-efficient tuning, quantization, mixed-precision, distributed parallelism.</li><li>
Experience deploying and scaling AI inference using optimized serving frameworks.</li><li>
Experience building multi-agent systems using agent orchestration tools.</li></ul>
Functional &amp; Behavioral Skills<ul><li>
Service-minded, open-minded, culturally aware.</li><li>
Highly structured, focused, and able to prioritize effectively.</li><li>
Innovative, curious, and a strategic thinker.</li><li>
Strong analytical and problem-solving abilities.</li><li>
Team-oriented with the ability to foster collaboration and psychological safety.</li><li>
Adaptable, proactive and comfortable working under strict deadlines.</li></ul>
Potential Career Path<ul><li>
Progression to Senior Manager/ Director roles AI and Data positions.</li></ul></div>

Explore 1279+ Ai engineer in Pakistan this January. Find roles across top companies and apply now to boost your career.

1279 ai engineer jobs IN Pakistan

AI Engineer

AI Engineer

AI Engineer

AWS AI Engineer

Senior AI Engineer

Agentic AI Engineer

Senior AI Engineer