Qureos Mentor

Value Engineering

Job Description:About the Role Value Engineering is looking for a highly motivated and detail-oriented Graduate Civil Engineer to join our growing team. This opportunity is ideal for fresh graduates who are eager to build a strong foundation through hands-on experience in project planning, scheduling, cost estimation, and technical documentation within a professional engineering environment.Key Responsibilities<ul><li>Assist in the development of project plans, schedules, and timelines using industry-standard planning tools.</li><li>Support the preparation of cost estimates, BOQs, and quantity take-offs with accuracy.</li><li>Monitor project progress and update schedules accordingly.</li><li>Perform material, labor, and cost analysis for ongoing and upcoming projects.</li><li>Maintain and organize planning and estimation documentation efficiently.</li><li>Coordinate with project, site, and procurement teams to gather required data.</li><li>Assist senior engineers in tendering, budgeting, and reporting activities.</li><li>Learn and implement industry standards, best practices, and internal procedures.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in Civil Engineering (Fresh graduates are encouraged to apply).</li><li>Basic understanding of construction planning and estimation concepts.</li><li>Proficiency in MS Excel (mandatory); knowledge of MS Project or Primavera is a plus.</li><li>Strong analytical and numerical abilities.</li><li>Eagerness to learn and thrive in a fast-paced professional environment.</li></ul>Skills &amp; Competencies<ul><li>High level of attention to detail and accuracy</li><li>Strong communication and coordination skills</li><li>Effective time management and organizational abilities</li><li>Team-oriented mindset with a collaborative approach</li><li>Proactive problem-solving attitude</li></ul>What We Offer<ul><li>Structured on-the-job training and mentorship</li><li>Exposure to real-world projects and professional engineering practices</li><li>Clear career growth and progression opportunities</li><li>A supportive and learning-driven work environment</li></ul>Job Details<ul><li>Job Type: Full-time</li><li>Work Location: Onsite</li></ul>Work Location: In personWork Location: In person

Trainee Planning Engineer

Value Engineering is seeking a motivated and detail-oriented Graduate Civil Engineer to join our team. This position is well-suited for fresh Civil Engineering graduates who are eager to gain practical, hands-on experience in project planning, scheduling, cost estimation, and technical documentation within a professional engineering environment.Key Responsibilities<ul><li>Assist in developing project plans, schedules, and timelines using planning tools.</li><li>Support the preparation of cost estimates, BOQs, and quantity take-offs.</li><li>Monitor project progress and update schedules as required.</li><li>Assist with material, labour, and cost analysis for current and upcoming projects.</li><li>Maintain and organize planning and estimation documents.</li><li>Coordinate with project, site, and procurement teams to collect required data.</li><li>Support senior engineers in tendering, budgeting, and reporting activities.</li><li>Learn and apply industry standards, best practices, and company procedures.</li></ul>Required Qualifications<ul><li>Bachelor&rsquo;s degree in civil engineering (fresh graduates are encouraged to apply).</li><li>Basic understanding of construction planning and estimation concepts.</li><li>Proficiency in MS Excel (mandatory); familiarity with MS Project or Primavera is an advantage.</li><li>Strong analytical and numerical skills.</li><li>Willingness to learn and adapt in a fast-paced work environment.</li></ul>Skills &amp; Competencies<ul><li>High attention to detail and accuracy</li><li>Effective communication and coordination skills</li><li>Strong time management and organizational abilities</li><li>Team-oriented mindset</li><li>Problem-solving attitude</li></ul>What We Offer<ul><li>Structured on-the-job training and mentorship</li><li>Exposure to real-world projects and professional engineering practices</li><li>Career growth opportunities within Value Engineering</li><li>A supportive, learning-focused work environment</li></ul>Job Type: Full-timeWork Location: In person

Trainee Planning Engineer Civil

Key Responsibilities<ul><li>Assess organizational and employee training needs through skills gap analysis and stakeholder consultations</li><li>Facilitate training sessions, workshops, and onboarding programs</li><li>Create and update learning materials, including presentations, job aids, and e-learning content</li><li>Manage and maintain the Learning Management System (LMS)</li><li>Evaluate training effectiveness using feedback, assessments, and performance metrics</li><li>Partner with managers to support leadership development and career growth initiatives</li><li>Ensure learning programs align with company goals, values, and compliance requirements</li><li>Stay current on learning trends, tools, and best practices</li></ul>Qualifications<ul><li>Bachelor&rsquo;s degree in human resources, Education, Organizational Development, Business, or a related field</li><li>2+ years of experience in Learning &amp; Development, Training, or Organizational Development</li><li>Strong instructional design and facilitation skills</li><li>Experience with adult learning principles and blended learning approaches</li><li>Proficiency with LMS platforms and e-learning tools</li><li>Excellent communication, presentation, and interpersonal skills</li><li>Strong project management and organizational abilities</li><li>Ability to analyze data and measure learning impact</li></ul>Preferred Skills<ul><li>Certification in L&amp;D, HR, or instructional design (e.g., CPLP, ATD, SHRM, CIPD)</li><li>Experience with leadership development and talent development programs</li><li>Knowledge of change management and performance improvement frameworks</li></ul>Work Location: In person

Learning & Development Specialist

Reporting to AI Lead / Solution Architect, this is a senior technical leadership role responsible for: Designing and deploying state-of-the-art LLMs and multi-modal AI models. Implementing agentic AI systems with RAG, self-RAG, and memory-optimized architectures. Leading cloud-based GPU LLM training pipelines, including data labeling, preprocessing, model training, and post-processing. Extending AI models into front-end applications and back-end pipelines. Managing staging, development, and production environments with SSH deployment and editing. Driving complex problem-solving, critical thinking, and innovative AI solutionsKey Responsibilities1. LLM Cloud Training &amp; Pipelines (Mandatory)Design and deploy LLM training pipelines on cloud GPU infrastructure. Manage data labeling, preprocessing, and post-processing for training datasets. Optimize model training, memory usage, and inference efficiency. Implement RAG-based pipelines, agentic RAG, and self-RAG for knowledge augmentation.2. Deep Learning &amp; Model DevelopmentResearch, design, and implement Transformers, Vision Transformers, Diffusion Models. Optimize SAM models for tabular and image data, including preprocessing and post-processing. Implement multi-modal AI pipelines (text, image, video). Develop agentic AI models with adaptive memory and reasoning.3. Agentic AI &amp; OrchestrationDesign agent frameworks with orchestration, inter-agent communication, and protocol management. Integrate LangChain, LangGraph, or custom agent pipelines. Ensure AI agents are robust, scalable, and production-ready.4. Machine Learning for Real-World DataImplement ML models for tabular, image, and multi-modal data. Preprocess, normalize, and feature-engineer datasets for SAM and other model types. Translate research models into production pipelines with RAG augmentation.5. Front-End &amp; Back-End AI IntegrationExtend AI models into front-end applications (interactive AI features). Integrate AI models into back-end services for low-latency inference. Ensure seamless integration between AI models and application architecture.6. Production AI Infrastructure &amp; DeploymentDeploy AI models on MCP / GPU servers, distributed clusters, or cloud infrastructure. Manage staging, dev, and production environments, including SSH deployment, editing, and version control. Implement monitoring and observability using Prometheus, Grafana, and custom dashboards. Maintain CI/CD for AI models, training pipelines, and data workflows, including Git/GitHub workflow management.7. Research to Production TranslationBring experimental AI models into production-grade systems. Validate model performance, reliability, and safety. Implement reproducibility, versioning, and automated retraining pipelines.8. Mentorship &amp; LeadershipMentor junior AI engineers and researchers. Establish best practices for AI experimentation, deployment, and RAG/agentic architectures. Contribute to AI roadmap and enterprise AI strategy.Required Experience5+ years AI / Deep Learning / Research &amp; Production experience. Mandatory: Hands-on experience in LLM training pipelines, including cloud GPU infrastructure, data labeling, preprocessing, training, and post-processing. Deep knowledge of Neural Networks, Transformers, LLMs, Vision Transformers, Diffusion Models, Agentic AI, RAG/self-RAG pipelines. Hands-on experience with SAM models, tabular data ML, and preprocessing pipelines. Experience managing staging, dev, and production environments with SSH deployment, editing, and Git/GitHub workflow. Strong Computer Vision and Image Processing skills. Experience with agent orchestration, LangChain, LangGraph, and protocol optimization. Proven problem-solving, critical thinking, and innovative AI solution delivery. Experience integrating AI into front-end and back-end systems.Preferred ExperienceExperience with generative AI, diffusion models, multi-modal agents. Optimizing LLM memory, inference, and fine-tuning at scale. Experience in production RAG pipelines and knowledge-augmented AI systems.Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as AI Engineer?</li></ul>Work Location: In person

Lead AI Engineer

We are looking for a highly experienced Senior Full Stack Developer (MERN ) to join our on-site engineering team. The ideal candidate will play a critical role in designing, developing, and maintaining scalable web applications, contributing to technical architecture decisions, and mentoring junior developers. This role is suited for individuals who take ownership of their work, follow best practices, and consistently deliver high-quality solutions. Key Responsibilities<ul><li>Design, develop, and maintain full-stack web applications using MongoDB, Express.js, React.js, Node.js.</li><li>Collaborate with frontend, backend, and product teams to define and enhance application architecture</li><li>Write clean, reusable, testable, and maintainable code in line with industry best practices</li><li>Conduct code reviews, enforce coding standards, and mentor junior developers</li><li>Integrate third-party APIs and external services, including AI/ML integrations where applicable</li><li>Work with CI/CD pipelines and support deployments on cloud platforms such as AWS</li><li>Identify performance bottlenecks, debug issues, and implement effective solutions</li><li>Ensure application security, scalability, and reliability</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years of professional experience as a Full Stack Developer.</li><li>Strong hands-on expertise with MERN Stack.</li><li>Proven experience developing backend services using FastAPI</li><li>Proficiency in JavaScript / TypeScript, HTML5, and CSS3</li><li>Strong understanding of RESTful APIs, authentication, and authorization (JWT, OAuth)</li><li>Experience with database design, indexing, and performance optimization (MongoDB / PostgreSQL)</li><li>Hands-on experience with Git or Bitbucket and CI/CD pipelines</li><li>Strong analytical and problem-solving abilities</li><li>Ability to work independently and collaboratively in a team environment</li><li>Experience with cloud platforms (AWS preferred; GCP/Azure is a plus)</li><li>Familiarity with Docker and containerized applications</li></ul>Preferred / Nice-to-Have<ul><li>Experience with microservices or serverless architectures</li><li>Knowledge of WebSockets, GraphQL, or real-time systems</li><li>Exposure to AI/ML integrations and Python-based ML frameworks</li><li>Experience with unit testing, integration testing, or TDD</li><li>Prior experience mentoring junior developers or leading small teams</li></ul>Application Question(s):<ul><li>Are you available to work from 2:00 PM &ndash; 11:00 PM shift Monday to Friday with alternate Saturday?</li></ul><ul><li>Are you comfortable working onsite from Bahria Phase 4, Rawalpindi?</li></ul><ul><li>How many years of experience do you have as a Full Stack Developer?</li></ul>Work Location: In person

Full Stack Developer (MERN)