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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>

AI Engineer

iOPTIME Pvt. Limited

We are looking for a passionate AI Engineer with hands-on experience in Generative AI, RAG systems, LLMs, and Computer Vision to help design and deploy next-generation AI solutions. You will work on building intelligent systems using LangChain, LLM fine-tuning, OCR, and LLM evaluation pipelinesKey Responsibilities:<ul><li>Develop and optimize RAG-based architectures for high-quality contextual retrieval and response generation.</li><li>Work on LLM fine-tuning, prompt engineering, and evaluation frameworks to measure model performance and accuracy.</li><li>Fine-tune LLM models to cater to specific business needs, ensuring high accuracy and efficiency.</li><li>Apply Computer Vision techniques for image processing, object detection, and real-time video analytics.</li><li>Collaborate with backend and ML teams to integrate AI components into production using FastAPI, Docker, and GCP or AWS.</li><li>Continuously explore advancements in GenAI, LangChain, and LLM evaluation to enhance system performance.</li></ul>Required Skills &amp; Qualifications:<ul><li>Bachelor&rsquo;s or Master degree in Computer Science, AI/ML, or a related field.</li><li>2 years of hands-on experience in AI/ML model development.</li><li>Strong programming skills in Python with frameworks such as PyTorch or TensorFlow.</li><li>Experience with LLMs, LangChain, RAG, or LLM evaluation pipelines.</li><li>Knowledge of OCR tools (e.g., Tesseract, EasyOCR) and Computer Vision frameworks (e.g., OpenCV, YOLO).</li><li>Familiarity with model deployment, vector databases, and inference optimization.</li><li>Good understanding of prompt engineering, fine-tuning, and model evaluation metrics.</li><li>Strong analytical mindset, problem-solving ability, and teamwork skills.</li></ul>Job Types: Full-time, Contract Contract length: 12 monthsPay: Rs100,000.00 per monthAbility to commute/relocate:<ul><li>Islamabad G-8/Markaz: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your expected salary?</li><li>It's an onsite full-time job, are you comfortable commuting to this job's location?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Generative AI: 2 years (Required)</li></ul>Work Location: In person

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

My Digital People

We are a UK-based technology-driven organisation committed to digital transformation and smart automation. We're expanding our capabilities and are looking for a highly motivated AI Automation Engineer to lead the development and implementation of AI-driven solutions that automate processes, enhance productivity, and drive innovation across departments.Key Responsibilities<ul><li>Design, develop, and deploy AI and ML models to automate business workflows.</li><li>Identify automation opportunities and recommend suitable AI/ML technologies.</li><li>Integrate AI solutions into existing systems, ensuring minimal disruption and maximum ROI.</li><li>Use tools like Python, TensorFlow, PyTorch, OpenAI APIs, LangChain, and RPA platforms such as UiPath or Power Automate.</li><li>Collaborate with cross-functional teams (data scientists, software developers, and operations).</li><li>Monitor and maintain deployed models to ensure accuracy, performance, and reliability.</li><li>Document automation processes and provide technical support when required.</li><li>Stay updated with the latest developments in AI, NLP, computer vision, and RPA.</li></ul>Required Skills and Experience<ul><li>Bachelor's or Master's degree in Computer Science, AI, or IT.</li><li>2&ndash;3 years of experience in AI and automation engineering is a mandatory requirement</li><li>Strong proficiency in Python and JavaScript, along with development mainly related to AI, chatbots, LLMs, RAG systems, and voice agents,</li><li>Experience with automation tools such as Make.com, Zapier &amp; n8n.</li><li>Familiarity with cloud platforms like Azure, AWS, or Google Cloud.</li><li>Must be good with rest api, OAuth and integration of third party tools like prompt engineering, hugging face, voice and chat systems, Lang chain, vector databases</li><li>Excellent problem-solving skills and the ability to translate business needs into technical solutions.</li><li>Strong communication and documentation skills.</li></ul>Job Type: Full-timeEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI/Automation Engineer: 3 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Work Location: In person

Funprime technologies Pvt Ltd

We are hiring a AI Engineer with deep expertise in AI model development, optimization, and deployment. The role primarily focuses on enhancing existing AI models, improving their accuracy and efficiency, and managing server-side infrastructure for large-scale AI applications.Key Responsibilities<ul><li>Research, fine-tune, and enhance AI models for performance, scalability, and accuracy.</li><li>Develop backend systems to support model inference, data pipelines, and monitoring.</li><li>Manage and optimize server infrastructure (GPU-based systems, Docker, Kubernetes).</li><li>Deploy and maintain AI models in production with CI/CD pipelines.</li><li>Handle model versioning, testing, and performance evaluation.</li><li>Collaborate with cross-functional teams to ensure seamless model integration and stability.</li></ul>Required Skills <ul><li>Proficiency in Python, with experience in PyTorch, TensorFlow, or Transformers.</li><li>1-2 years of experience Required.</li><li>Strong understanding of machine learning model training, tuning, and deployment.</li><li>Experience with Docker, Kubernetes, Linux server management, and cloud environments (AWS / GCP / Contabo).</li><li>Solid knowledge of REST APIs, microservices, and data pipelines.</li><li>Familiarity with DevOps/MLOps tools and best practices.</li><li>Bonus: Experience in distributed training, GPU optimization, or custom model architectures.</li></ul>Job Type: Full-timeWork Location: In person

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

ZIEL Global Private Limited

About the Role We&rsquo;re looking for an experienced AI Engineer to design and implement production-grade AI systems that automate complex workflows, enable intelligent decision support, and deliver real-time insights for enterprise operations. You will build and optimize large language model (LLM) applications integrated with live business data, ensuring performance, reliability, and compliance at scale.Key Responsibilities<ul><li>Develop intelligent agent workflows using frameworks such as LangChain or LangGraph</li><li>Integrate LLMs with APIs, databases, and external business systems</li><li>Design context-aware, multi-turn conversational systems and long-running agents</li><li>Build evaluation frameworks to measure system accuracy and business relevance</li><li>Fine-tune models for domain-specific use cases and explore reinforcement learning agents</li><li>Implement data security, compliance, and audit mechanisms for AI components</li></ul>Qualifications<ul><li>5+ years of software engineering or applied AI experience</li><li>Proven expertise building and deploying production AI/ML systems</li><li>Hands-on experience with major LLMs (OpenAI, Anthropic, or open-source)</li><li>Strong skills in Python and API-based system design</li><li>Familiarity with prompt engineering, RAG architectures, and vector databases</li><li>Excellent communication and analytical thinking skills</li></ul>Preferred<ul><li>Experience with industrial or procurement-based data domains</li><li>Familiarity with MRO or enterprise data environments</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>Are you available to join immediately?</li><li>How would you rate your English communication skills, spoken and written?</li><li>What are your salary expectations?</li></ul>Work Location: In person

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