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Techtimize

Job Title: AI EngineerWe are looking for a talented AI Engineer with 1 year+ of experience in backend development using FastAPI and exposure to AI or Large Language Models (LLMs). The ideal candidate will be excited about working on AI-driven applications and contributing to innovative projects that leverage Generative AI technologies. Key Responsibilities: Develop and maintain backend services using Python (FastAPI). Design, document, and optimize RESTful APIs and microservices. Integrate and manage AI/LLM APIs (e.g., OpenAI, Anthropic, Hugging Face). Collaborate with the AI and frontend teams to build intelligent products. Ensure scalability, performance, and security of backend systems. Debug and enhance existing codebases to improve reliability and efficiency. Participate in on-site development sprints and team meetings.Required Skills &amp; Qualifications: Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field. 1 year+ of professional experience in Python backend development. Strong proficiency with FastAPI or similar frameworks. Understanding of AI/LLM concepts and familiarity with API integrations (e.g., OpenAI, Hugging Face). Experience with databases (PostgreSQL, MySQL, MongoDB). Knowledge of Git, Docker, and version control best practices. Strong problem-solving and teamwork skills.Plus Points (Preferred Skills): Hands-on experience with Generative AI models (e.g., GPT, Claude, Stable Diffusion). Familiarity with LangChain, Vector Databases (e.g., Pinecone, FAISS), or RAG pipelines. Experience in asynchronous programming and background task queues (Celery, Redis). Exposure to cloud platforms (AWS, GCP, or Azure).Job Type: Full-timeWork Location: In person

AI Engineer

Prime System Solutions

<div>
 We're looking for an AI Engineer to design and develop practical AI solutions for our internal operations and client-facing workflows. You'll build intelligent systems that improve accuracy, automate processes, and enhance user experience.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop a chatbot that uses a predefined knowledge base to answer specific questions with accurate, controlled responses
 </li>
 <li>
 Build and optimize an AI-driven ticket routing system that classifies incoming tickets and assigns them to the right teams
 </li>
 <li>
 Work with operations and product teams to shape requirements and convert them into production-ready AI features
 </li>
 <li>
 Maintain model performance, update datasets, and ensure reliability and scalability of AI systems
 </li>
 <li>
 Implement best practices in prompt engineering, data handling, and model evaluation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Experience with LLMs, NLP, and chatbot development
 </li>
 <li>
 Strong skills in Python and relevant ML frameworks (e.g., PyTorch, TensorFlow)
 </li>
 <li>
 Understanding of classification models and workflow automation
 </li>
 <li>
 Ability to turn business needs into technical solutions
 </li>
 <li>
 Prior experience deploying AI systems in production is a plus. rest api (fast or flask) or backend experience is a plus
 </li>
 </ul>
</div>

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

CodeNinja

About the Company
 CodeNinja is a global AI and engineering services company helping enterprises build, scale, and operate intelligent systems. With 350+ engineers across four continents and 400+ successful deployments, CodeNinja enables organizations to harness artificial intelligence through Global Capability Centers, Work AI, Physical AI, and AI Labs. Recognized among Pakistan’s fastest-growing AI firms and a multi-award recipient on Clutch, CodeNinja empowers over 250 clients worldwide to innovate, automate, and compete in the intelligence economy.
 
Role Overview: 
CodeNinja is building its next-generation Cloud & AI practice as part of our journey toward becoming an AWS AI Standard Tier Partner. We are hiring an AWS AI Engineer to support AWS partnership accreditation, design and deliver AI/ML and Generative AI solutions on AWS, and enable presales and internal capability building.
 This is a high-impact role combining hands-on engineering, client-facing engagement, and AWS ecosystem expertise.
 
Key Responsibilities: 
1) AWS AI & ML Solution Engineering: 
<ul>
<li>Architect and implement AI/ML solutions using AWS services including:</li>
<li>Amazon SageMaker (training, tuning, deployment)</li>
<li>Amazon Bedrock (LLMs, GenAI orchestration)</li>
<li>Comprehend, Rekognition, Lex, Kendra</li>
<li>Lambda, Step Functions (orchestration)</li>
<li>S3, RDS, DynamoDB, OpenSearch (data backbone)</li>
<li>Develop and optimize ML pipelines (ingestion, preprocessing, feature engineering, deployment).</li>
<li>Build and deploy RAG systems and inference workflows.</li>
</ul>
2) Support AWS AI Partnership Accreditation: 
<ul>
<li>Contribute to customer success stories and required evidence for AWS tier progression.</li>
<li>Support AWS scorecard requirements (training completion, technical documentation, artifacts).</li>
<li>Build reusable templates, architectures, accelerators, and reference implementations.</li>
<li>Maintain practice documentation (playbooks, architectures, runbooks).</li>
</ul>
3) Presales & Customer Engagement: 
<ul>
<li>Join presales calls with sales/partnership stakeholders and lead technical discovery.</li>
<li>Translate business requirements into AWS-native solution designs and implementation plans.</li>
<li>Build PoCs and demos to support sales cycles.</li>
<li>Prepare technical proposals, architecture diagrams, and effort estimates.</li>
</ul>
4) AI Knowledge Base & Internal Enablement: 
<ul>
<li>Create and maintain an internal AI Practice Hub (e.g., Notion):</li>
<li>Service catalog, case studies, best practices</li>
<li>Accelerators, reusable components, reference architectures</li>
<li>Develop training material and run internal sessions on GenAI, MLOps, and AWS AI services.</li>
</ul>
5) Cross-Functional Collaboration: 
<ul>
<li>Collaborate with Cloud/Data/DevOps/MLOps teams on delivery and standards.</li>
<li>Partner with Sales and Marketing on AI GTM collateral and demos.</li>
<li>Provide inputs to AI practice roadmap, delivery frameworks, and governance.</li>
</ul>
Requirements: 
Required Skills & Experience: 
Technical: 
<ul>
<li>4+ years of hands-on experience delivering AI/ML solutions on AWS.</li>
<li>Strong knowledge of:</li>
<li>SageMaker, Bedrock, Lambda, Step Functions</li>
<li>S3, DynamoDB, OpenSearch</li>
<li>IAM, CloudWatch, CloudFormation/Terraform</li>
<li>Strong Python skills (APIs, Lambda handlers, ML pipelines; FastAPI preferred).</li>
<li>Experience with ML frameworks: PyTorch / TensorFlow / Scikit-learn.</li>
<li>Practical experience building RAG systems, embeddings, and retrieval pipelines.</li>
<li>Familiarity with vector stores such as FAISS, OpenSearch, Pinecone, Chroma.</li>
<li>Exposure to MLOps tooling (e.g., MLflow, containerization, Kubernetes).</li>
</ul>
Soft Skills: 
<ul>
<li>Strong client-facing communication and presentation skills.</li>
<li>Strong documentation discipline (architecture notes, runbooks, playbooks).</li>
<li>Ability to translate ambiguous needs into clear technical solutions.</li>
<li>Comfortable collaborating with engineering, sales, and leadership stakeholders.</li>
</ul>
Nice to Have: 
<ul>
<li>Experience with GenAI providers/models (e.g., OpenAI, Anthropic, Llama).</li>
<li>Experience with SageMaker Pipelines / Kubeflow / MLflow.</li>
<li>Experience deploying AI-backed APIs or chatbot systems in production.</li>
<li>Prior consulting or presales experience.</li>
</ul>
Why Join CodeNinja: 
<ul>
<li>Work on real-world AI and cloud solutions for global clients.</li>
<li>Collaborate with high-performing, cross-functional teams.</li>
<li>Grow your career in a fast-scaling, innovation-driven environment.</li>
</ul>
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, & performance. Female and minorities are strongly encouraged and preferred to apply for the role.
 
Benefits: 
<ul>
<li>Provident Fund</li>
<li>Gym Membership</li>
<li>Leaves as per the company policy</li>
<li>Company-paid trips</li>
<li>Easy Loan Facility for Employees</li>
<li>Yearly increment</li>
<li>Maternity Benefits (Leaves & WFH)</li>
<li>Health Insurance (Maternity covered) – includes spouse and parents (till age 80)</li>
</ul>

Solvefy

Be a Part of Shaping the Future with AI!Are you passionate about creating intelligent systems powered by Artificial Intelligence and Machine Learning? We are seeking an AI Developer who can design, build, and deploy innovative AI-driven solutions using cutting-edge models, frameworks, and tools.In this role, you&rsquo;ll work with modern AI/ML models, data pipelines, and deployment platforms to deliver scalable applications. You&rsquo;ll also leverage advanced techniques such as large language models (LLMs), NLP, and AI-powered automation to transform business processes.Key Responsibilities<ul><li>AI Model Development: Design, train, and fine-tune machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, or Hugging Face Transformers.</li><li>Data Preparation: Build and maintain efficient data pipelines for training and evaluation using AI/ML data tools (e.g., Scikit-learn preprocessing, Spark MLlib).</li><li>AI Solutions &amp; LLMs: Apply LLMs, NLP techniques, and prompt engineering to enhance automation, intelligent assistants, and decision-making systems.</li><li>Deployment &amp; MLOps: Deploy, monitor, and manage AI/ML models on cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) following MLOps best practices.</li><li>System Architecture: Implement scalable AI solutions using containerization (Docker, Kubernetes) and micro services-based designs.</li><li>Collaboration: Work closely with data engineers, product managers, and developers to translate business needs into AI-driven solutions.</li><li>Performance Optimization: Evaluate and improve model accuracy, scalability, and efficiency in production environments.</li><li>Research &amp; Innovation: Stay updated with the latest in AI frameworks, LLM advancements, and emerging ML technologies to drive innovation.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>2+ years of experience in AI engineering, machine learning, or applied data science roles.</li><li>Proficiency with AI/ML frameworks and libraries, including TensorFlow, PyTorch, Keras, Scikit-learn, XGBoost, LightGBM, and Hugging Face Transformers.</li><li>Hands-on experience with AI model development, including exposure to large language models (LLMs), NLP, and other advanced ML applications.</li><li>Familiarity with data processing and big data technologies (e.g., Spark MLlib, Hadoop, MLflow, Kubeflow).</li><li>Experience working with cloud-based AI platforms (AWS SageMaker, Azure ML, GCP Vertex AI) for model deployment and scaling.</li><li>Knowledge of MLOps practices and lifecycle management for production-grade AI systems.</li><li>Strong foundation in machine learning algorithms, optimization techniques, and statistical modeling.</li><li>Experience implementing scalable AI solutions using Docker, Kubernetes, and micro services-based architectures.</li><li>Strong problem-solving ability, a collaborative mindset, and excellent communication skills for both technical and non-technical stakeholders</li></ul>What We Offer:<ul><li>Competitive Salary: Market-competitive salary with performance-based incentives.</li><li>Comprehensive Benefits: Provident Fund, Medical Allowance, and Umrah Allowance.</li><li>Wellness Perks: Gym and refreshment allowances.</li><li>Team Building: Annual trips, bi-annual dinners, and team events.</li><li>Additional Perks: Annual bonus, leave encashment, and a flexible leave policy (Casual, Sick &amp; Annual Leaves).</li></ul>Experience Level: 2+ yearsLocation: Johar Town, LahoreEmployment Type: Full-Time (On-Site)Office Timings: 12 PM &ndash; 9 PMJob Type: Full-timeWork Location: In person

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

92Techno

We are seeking a highly skilled Senior AI Engineer in Lahore to lead the data and AI foundations that will drive our next phase of innovation. This role is ideal for someone who thrives in building scalable AI systems, shaping enterprise strategies, and delivering impactful AI solutions across the organization.Key Responsibilities<ul><li>Define and implement the enterprise data strategy to enable AI at scale.</li><li>Design and build scalable data platforms and pipelines (batch and streaming).</li><li>Develop, deploy, and optimize ML/AI and LLM-based solutions.</li><li>Establish frameworks for data governance, lineage, quality, security, and responsible AI.</li><li>Collaborate with business teams to identify and deliver high-value AI use cases.</li><li>Advocate and promote data, AI, and engineering best practices across the organization.</li></ul>Requirements<ul><li>6&ndash;10+ years of experience in Data Engineering, ML Engineering, or AI Engineering.</li><li>Strong proficiency in Python, SQL, and major cloud platforms (AWS, Azure, or GCP).</li><li>Experience working with Spark, feature stores, and Lakehouse architectures.</li><li>Hands-on expertise in LLMs, vector databases, and RAG pipelines.</li><li>Solid understanding of data governance, data security, DevOps/MLOps, and enterprise data frameworks.</li></ul>Job Type: Full-timePay: Rs450,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>Do you have 6+ years of experience in Data Engineering, ML Engineering, or AI Engineering?</li></ul>Work Location: In person

Senior AI Engineer

Explore 329+ Ai engineer in Walton Lahore Spoken English Teacher Male Female Jobs In Lahore this January. Find roles across top companies and apply now to boost your career.

329 ai engineer jobs IN Walton Lahore Spoken English Teacher Male Female Jobs In Lahore

AI Engineer

AI Engineer

AWS AI Engineer

AWS AI Engineer

AI Engineer

Agentic AI Engineer

Senior AI Engineer