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ai engineer / api integrator

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intelligence engineer

Recruitzz

Qualification Requirement:<ul><li>Bachelor&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field.</li><li>Must have graduated from one of the following universities: LUMS, FAST, NUST, or GIKI.</li></ul>Key Requirements :<ul><li>Proven hands-on experience in building and deploying AI/ML models and systems.</li><li>Strong proficiency in Python and its core data science/AI libraries (e.g., PyTorch, TensorFlow, Scikit-learn, Pandas).</li><li>Deep, practical experience working with LLMs (Large Language Models) and advanced agentic frameworks like LangChain and LangGraph.</li><li>Solid understanding of AI architecture patterns, especially Retrieval-Augmented Generation (RAG).</li><li>Experience with API development and integration (e.g., FastAPI, REST).</li><li>Familiarity with cloud platforms (GCP, AWS, etc.) and database technologies.</li><li>A strong problem-solving mindset with the ability to work collaboratively in a fast-paced environment.</li><li>A portfolio of projects (academic, personal, or professional) that demonstrates your ability to build real-world AI applications.</li></ul>Onsite Position in DHA Phase 6 Lahore.Job Type: Full-timePay: Rs150,000.00 - Rs200,000.00 per monthApplication Question(s):<ul><li>From which university did you graduate? (University name )</li><li>Onsite position in DHA Phase 6 Lahore, Are you willing?</li></ul>Experience:<ul><li>AI Engineer: 2 years (Preferred)</li></ul>Work Location: In person

AI Engineer

Analytica-data

We are seeking a skilled and innovative AI/ML Engineer to join our growing tech team. The ideal candidate will have a strong foundation in machine learning algorithms, data preprocessing, and model deployment. You will work closely with data scientists, software developers, and business stakeholders to design, develop, and deploy intelligent solutions that drive data-based decision-making and automation.Key Responsibilities:<ul><li>Design, build, and deploy scalable machine learning models and AI-driven applications.</li><li>Preprocess, clean, and analyze structured and unstructured datasets.</li><li>Implement and fine-tune algorithms for classification, regression, clustering, NLP, or computer vision tasks.</li><li>Collaborate with cross-functional teams to integrate ML models into production systems.</li><li>Evaluate model performance using appropriate metrics and continuously improve accuracy.</li><li>Stay current with advancements in AI/ML frameworks, tools, and methodologies.</li><li>Work with cloud platforms (AWS, GCP, Azure) for model training and deployment.</li><li>Document technical processes and findings clearly.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.</li><li>2&ndash;3 years of experience in applied machine learning or data science roles.</li><li>Strong programming skills in Python and familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, NumPy, and Pandas.</li><li>Experience with data preprocessing, feature engineering, and model evaluation.</li><li>Knowledge of SQL and experience with data visualization tools (Matplotlib, Seaborn, Power BI, etc.).</li><li>Understanding of software engineering principles and version control (Git).</li></ul>Job Type: Full-timeWork Location: In person

AI/ML Engineer

Napollo Software Design LLC.

Location: Lahore OfficeCompany: Napollo Software Design LLCExperience Required: 3+ YearsEmployment Type: Full-TimePosition OverviewWe are seeking a highly skilled AI Automation Engineer with a strong foundation in Artificial Intelligence, Software Engineering, and Automation Systems. The ideal candidate will have solid programming experience in Python and React, a background in AI-related development, and the ability to integrate APIs and databases to build intelligent, automated workflows.Key Responsibilities<ul><li>Develop and deploy AI-powered automation systems and applications.</li><li>Build and maintain API integrations between multiple platforms and services.</li><li>Work with structured and unstructured databases for automation and reporting.</li><li>Collaborate with the team to enhance and scale AI workflows.</li><li>Write clean, maintainable, and well-documented code using GitHub.</li><li>Utilize Visual Studio Code and modern tools for debugging and version control.</li><li>Contribute to AI system improvements, data pipelines, and automation scripts.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Artificial Intelligence, Computer Science, or a related field.</li><li>3+ years of experience in AI automation or software engineering.</li><li>Strong programming skills in Python (compulsory).</li><li>Hands-on experience with React and front-end technologies.</li><li>Proficient in API integration, database management, and automation scripting.</li><li>Familiarity with GitHub workflows and Visual Studio Code.</li><li>Solid understanding of AI tools, APIs, and libraries.</li></ul>Preferred Skills<ul><li>Experience deploying machine learning or AI-based applications.</li><li>Knowledge of Flask, FastAPI, or Node.js for backend development.</li><li>Understanding of cloud environments (AWS, Azure, Google Cloud).</li><li>Exposure to AI/ML pipelines or MLOps processes.</li></ul>Job Type: Full-timeWork Location: In person

AI Automation Engineer

CHROMEIS

<div><h4 class="jobSectionHeader">Position Overview:</h4>

We are looking to onboard for 1 AI Engineer (AI Engineer &ndash; Conversational AI &amp; Application Development). The candidate will need to be collaborative, organised, think out-of-the-box, and be ready to pursue new opportunities. Most importantly, this role is for an individual who is passionate about making a difference through healthcare.
<h4 class="jobSectionHeader">
Role Summary</h4>

We are seeking a talented AI Engineer to design, develop, and deploy sophisticated conversational agents and AI&#8209;powered applications. The successful candidate will combine strong software&#8209;engineering skills with a deep interest in modern AI techniques. This role will give you the opportunity to work with the latest multi&#8209;agent orchestration frameworks&mdash;LangGraph, AutoGen, CrewAI, and Google&rsquo;s Agent Developer Kit (ADK)&mdash;while harnessing the scalability of Google Cloud Platform (GCP) services such as BigQuery, Cloud Run, Kubernetes (GKE), and IAM.
<h4 class="jobSectionHeader">
Key Responsibilities</h4>
<ul><li>Design and build multi&#8209;agent conversational systems leveraging LangGraph, AutoGen, CrewAI, ADK, or similar frameworks.</li>
<li>Collaborate with product managers, designers, and engineers to define user journeys, agent capabilities, and integration points.</li>
<li>Develop robust, scalable backend services and APIs (Python/Golang/Node.js/Java) to power AI agents and orchestration workflows.</li>
<li>Apply advanced Natural Language Processing (NLP), Retrieval&#8209;Augmented Generation (RAG), and LLM fine&#8209;tuning techniques for intent recognition, entity extraction, and dynamic dialogue management.</li>
<li>Deploy and operate conversational workloads on GCP Cloud Run (serverless) and Kubernetes (GKE), following DevOps best practices and implementing secure access controls with IAM.</li>
<li>Leverage BigQuery for large&#8209;scale data analytics to train, evaluate, and refine ML models and conversational metrics.</li>
<li>Design and develop interactive dashboards in Power BI or Tableau to visualize conversational KPIs, model performance, and business insights.</li>
<li>Integrate conversational agents with enterprise systems (databases, CRMs, ERPs) and third&#8209;party APIs.</li>
<li>Implement observability, evaluation, and monitoring for agent performance (latency, accuracy, hallucination rate) using tools like Arize Phoenix, Langfuse, and LangSmith.</li>
<li>Contribute to the full software development lifecycle: requirements, architecture, coding, testing, CI/CD, deployment, and maintenance.</li>
<li>Troubleshoot and resolve production issues to ensure high availability and optimal performance.</li>
<li>Document technical designs, decisions, and model specifications for cross&#8209;functional reference.</li>
</ul><h4 class="jobSectionHeader">Required Qualifications</h4>

Must have: hands-on experience with agentic systems, including agentic design patterns and code-based agent frameworks for building and deploying autonomous or conversational agent.
<div>
<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related field.</li></ul>
<ul><li>Proficiency in one or more backend languages/frameworks:</li></ul>
<ul><li>Python (FastAPI, Flask, Django)</li></ul>
<ul><li>Java (Spring Boot)</li></ul>
<ul><li>Node.js (Express, NestJS)</li></ul>
<ul><li>Go (Gin, Fiber)</li></ul>
<ul><li>Experience building RESTful or GraphQL APIs and designing microservices.</li></ul>
<ul><li>Solid grasp of machine&#8209;learning fundamentals: supervised/unsupervised learning, evaluation metrics, feature engineering.</li></ul>
<ul><li>Familiarity with modern NLP libraries (spaCy, Haystack, Hugging Face Transformers, LlamaIndex).</li></ul>
<ul><li>Strong version&#8209;control habits (Git, trunk&#8209;based development) and CI/CD pipelines.</li></ul>
<ul><li>Excellent problem&#8209;solving, communication, and collaboration skills.</li></ul>
<ul><li>Passion for continuous learning and adapting to emerging AI technologies.</li></ul>
</div><h4 class="jobSectionHeader">Preferred Qualifications</h4>
<ul><li>Hands&#8209;on experience creating and deploying production&#8209;grade AI chat agents or virtual assistants.</li>
<li>Working knowledge of LangGraph, AutoGen, CrewAI, ADK, or comparable agent&#8209;orchestration / workflow frameworks.</li>
<li>Experience with Large Language Models (Gemini, GPT&#8209;4, Claude, Mistral, etc.) and vector databases (Weaviate, Chroma, Pinecone).</li>
<li>Deep experience with Google Cloud Platform (GCP):</li>
<li>BigQuery for analytical workloads and feature stores.</li>
<li>Cloud Run (serverless) for scalable, cost&#8209;efficient microservices.</li>
<li>Google Kubernetes Engine (GKE) for container orchestration and workload portability.</li>
<li>Identity and Access Management (IAM) for secure, least&#8209;privilege access control.</li>
<li>Business&#8209;intelligence expertise in building dashboards and reports with Power BI or Tableau.</li>
<li>Familiarity with other cloud providers (AWS, Azure) and their AI/ML services.</li>
<li>Understanding of MLOps (model registry, continuous training, drift monitoring) and LLM observability tools such as Arize Phoenix, Langfuse, and LangSmith.</li>
<li>Database skills in both SQL (PostgreSQL, BigQuery) and NoSQL (Firestore, DynamoDB).</li>
<li>Contributions to open&#8209;source AI/ML projects or technical blogging/presentations.</li>
</ul><h4 class="jobSectionHeader">Application Process:</h4>
<div><ul><li>Please send your resume to [careers@chromeis.com] with a relevant subject line.</li></ul>
<ul><li>If your resume is shortlisted, you will be invited to take an online AI-based assessment.</li></ul>
<ul><li>Candidates who pass this test will move on to the next stage: an on-call interview with the end client.</li></ul>
<ul><li>Successful candidates from all rounds will receive an offer based on the initial discussion during the first call.</li></ul></div></div>

Code Graphers

About the Role:We are seeking a highly skilled AI Engineer (Freelance Contractor) to collaborate with our team on advanced AI and Machine Learning projects. The ideal candidate will have strong experience in developing, training, and deploying AI models and be able to work independently to deliver high-quality, production-ready solutions.Key Responsibilities:<ul><li>Design, develop, and implement AI/ML models for various business use cases.</li><li>Preprocess and analyze large datasets to extract actionable insights.</li><li>Fine-tune and deploy large language models (LLMs) and other deep learning architectures.</li><li>Collaborate with cross-functional teams to integrate AI models into existing systems.</li><li>Optimize models for performance, scalability, and cost efficiency.</li><li>Research and experiment with new AI techniques and frameworks to improve project outcomes.</li><li>Deliver project milestones within the agreed timeline and quality standards.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.</li><li>3-5 years of experience in AI/ML development and model deployment.</li><li>Proficiency in Python and popular ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or Hugging Face Transformers.</li><li>Hands-on experience with LLMs, NLP, Computer Vision, or Generative AI.</li><li>Strong understanding of data preprocessing, model evaluation, and optimization techniques.</li><li>Experience working with cloud platforms (AWS, GCP, or Azure) and version control systems (Git).</li><li>Excellent problem-solving, communication, and time management skills.</li></ul>Preferred Qualifications:<ul><li>Experience with API integration, MLOps, or AI model deployment pipelines.</li><li>Contributions to open-source AI projects or publications in AI/ML research.</li><li>Prior experience working as a freelancer or remote AI contractor.</li></ul>Job Type: Full-timeWork Location: In person

Freelance Contractor (AI Engineer)

MESI Group

We are looking for IT colleagues who are passionate about generative AI and machine learning, while maintaining a practical perspective on its application. You understand both the technological possibilities and limitations, and can distinguish hype from value.As an AI Engineer, you listen to users, build intelligent solutions, and clearly explain what AI can achieve. You quickly see how LLMs and machine learning can make a difference &mdash; from document processing and content generation to systems that support customers.Building a safe and usable AI application is not trivial.Key Responsibilities:<ul><li>Working with advanced technologies: Python, PyTorch, TensorFlow, Transformers (GPT), MS Copilot, High Performance Computing, Claude, Gemini, LLaMA, and more.</li></ul><ul><li>Researching how AI can be applied in a desirable, feasible, and safe manner within business processes, maintaining active and transparent dialogue with all stakeholders.</li></ul><ul><li>Collaborating with IT teams and other stakeholders to identify and implement LLM-driven solutions for business processes (e.g., intelligent chatbots, summarizing specialized documents, automated reporting).</li></ul><ul><li>Developing, training, optimizing, and managing neural networks and other machine learning models, both in the cloud and on on-premise HPC infrastructure.</li></ul><ul><li>Ensuring compliance with data protection and privacy regulations (e.g., GDPR) and ethical AI principles (EU AI Act).</li></ul><ul><li>Staying up to date with the latest developments in LLMs, Generative AI, and MLOps practices to guide infrastructure and service development</li></ul>Requirements:<ul><li>Master&rsquo;s degree in Artificial Intelligence, Data Science, Computer Science, or a related field, or equivalent experience.</li></ul><ul><li>Preferably 5 years of professional ICT experience with broad and deep knowledge of AI technologies, machine learning, and data analysis.</li></ul><ul><li>Practical experience implementing and managing LLMs (e.g., BERT, GPT, LLaMA) in production environments.</li></ul><ul><li>Skilled in MLOps tools (e.g., Kafka, MLflow, Kubeflow, Airflow) or willing to learn them.</li></ul><ul><li>Experience with on-premise infrastructure, including containerization (e.g., Docker, Kubernetes) and hardware optimization (e.g., GPU clusters).</li></ul><ul><li>Knowledge of CI/CD pipelines and version control systems (e.g., Jenkins, Git).</li></ul><ul><li>Strong understanding of data protection, privacy, and ethical AI considerations</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Current Salary?</li><li>Expected Salary?</li><li>When can you join?</li><li>Portfolio Links</li></ul>Work Location: In person

Generative AI & ML Expert

Placentek

<div>
 AI Engineer Onsite, Lahore
 
 
 
 Requirements
 
 
 
 <ul>
 <li>
 At least 1 year of professional experience in AI/ML, NLP, or AI-based application development
 </li>
 <li>
 Understanding of LLM pipelines, prompt engineering, and AI framework integrations
 </li>
 <li>
 Familiarity with modern AI orchestration tools like LangChain, LangGraph, LangSmith, or equivalent frameworks for building agentic and modular AI systems
 </li>
 <li>
 Strong foundation in Python, data processing, and machine learning frameworks (e.g. PyTorch, TensorFlow, Scikit-learn)
 </li>
 <li>
 Ability to experiment, prototype, and ship practical AI solutions
 </li>
 <li>
 Good grasp of REST APIs, vector databases, or backend integrations
 </li>
 <li>
 Experience with Git, collaborative workflows, and version control
 </li>
 <li>
 Excellent problem-solving skills and an experimental, research-oriented mindset
 
 
 
 </li>
 </ul>
 What We Value
 
 
 Were looking for self-starters who learn by building, explore emerging tools independently, and have a portfolio of projects showing curiosity and initiative in the rapidly evolving AI landscape.
 
 
 Note: We are looking for an expert in working with open source frameworks like LangChain, LangGraph, etc, to build applications fundamentally powered by LLMs, along with experience in developing RAG pipelines.
</div>

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358 intelligence engineer jobs IN Lahore

AI Engineer

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Generative AI & ML Expert

AI Engineer