steel structure & mezzanine calculation engineer

planning engineer

software engineer

steel structure & mezzanine calculation engineer Jobs in Islamabad

system engineer

structural engineer

Volga Partners

<div>Location 
Islamabad, Pakistan 
House #571, Street #35, E-11/3, Islamabad
Employment Type 
Full-time
Work Setup: Hybrid
 
3 days in office 
2 days remote
Compensation 
PKR 600,000 &ndash; 850,000 per month 
(Compensation will be determined based on experience, software and AI background, technical expertise, AI product experience, and overall alignment with the role). 
About Volga Partners
Volga Partners is a global technology and AI solutions company focused on building innovative products, platforms, and intelligent systems that solve real-world business challenges. Our teams work across AI, software development, automation, data operations, and enterprise technology solutions supporting clients and products on a global scale.
We are building the next generation of AI-powered products and platform experiences and are seeking a Principal Software &amp; AI Engineer who thrives in fast-paced environments, enjoys solving complex problems, and can connect customer needs, business goals, and technology into a clear product vision.
About the Role
We are seeking a highly experienced Senior Software &amp; AI Engineer to join our growing engineering team. The ideal candidate will possess extensive experience in full-stack software development, system architecture, cloud technologies, artificial intelligence, and modern software engineering practices.
This role requires a hands-on technical leader capable of designing, developing, and deploying scalable enterprise applications while leveraging AI technologies to build innovative solutions. The candidate should be comfortable working across multiple programming languages, frameworks, and cloud environments.
Key Responsibilities<ul><li>
Design, architect, and develop scalable enterprise-grade software applications.</li><li>
Lead the development of AI-powered products and features utilizing modern AI/ML technologies.</li><li>
Build and maintain high-performance backend services, APIs, and distributed systems.</li><li>
Develop modern web applications and user interfaces using current frontend frameworks.</li><li>
Design database architectures and optimize application performance.</li><li>
Integrate third-party services, APIs, payment gateways, and cloud-based solutions.</li><li>
Collaborate with product managers, designers, and stakeholders to define technical requirements.</li><li>
Implement security best practices and ensure compliance with industry standards.</li><li>
Mentor junior and mid-level engineers and conduct technical reviews.</li><li>
Drive architectural decisions and establish engineering best practices.</li><li>
Participate in Agile development processes and technical planning.</li></ul> 
Required Qualifications
Experience<ul><li>
Minimum 8 years of professional Software/AI engineering experience.</li><li>
Proven experience delivering large-scale production applications.</li><li>
Strong experience working with international teams and remote environments.</li><li>
Experience leading technical projects and mentoring engineering teams.</li></ul>
Programming Languages
Candidates should have strong experience with most of the following technologies:<ul><li>
JavaScript</li><li>
TypeScript</li><li>
Python</li><li>
Java</li><li>
C#</li><li>
Go (Golang)</li><li>
PHP</li><li>
C++</li><li>
Rust</li><li>
SQL</li></ul>
Frontend Technologies<ul><li>
React.js</li><li>
Next.js</li><li>
Angular</li><li>
Vue.js</li><li>
HTML5</li><li>
CSS3</li><li>
Tailwind CSS</li><li>
Redux</li></ul>
Backend Technologies<ul><li>
Node.js</li><li>
Express.js</li><li>
NestJS</li><li>
Django</li><li>
FastAPI</li><li>
ASP.NET Core</li><li>
Spring Boot</li><li>
GraphQL</li><li>
REST APIs</li><li>
Microservices Architecture</li></ul>
Artificial Intelligence &amp; Machine Learning<ul><li>
OpenAI API</li><li>
Large Language Models (LLMs)</li><li>
Prompt Engineering</li><li>
AI Agent Development</li><li>
Retrieval-Augmented Generation (RAG)</li><li>
Vector Databases</li><li>
LangChain / LlamaIndex</li><li>
Machine Learning Fundamentals</li><li>
AI Workflow Automation</li></ul>
Databases<ul><li>
PostgreSQL</li><li>
MySQL</li><li>
MongoDB</li><li>
Redis</li><li>
SQL Server</li></ul>
Cloud &amp; DevOps<ul><li>
AWS</li><li>
Azure</li><li>
Google Cloud Platform (GCP)</li><li>
Docker</li><li>
Kubernetes</li><li>
CI/CD Pipelines</li><li>
GitHub Actions</li><li>
Terraform</li><li>
Linux Administration</li></ul>
Security &amp; Architecture<ul><li>
OAuth</li><li>
JWT Authentication</li><li>
RBAC</li><li>
Secure Coding Practices</li><li>
Distributed Systems</li><li>
Event-Driven Architecture</li><li>
System Design</li><li>
Performance Optimization</li></ul> 
Preferred Qualifications<ul><li>
Experience building SaaS products.</li><li>
Experience working with healthcare, fintech, or enterprise applications.</li><li>
Knowledge of data engineering and analytics platforms.</li><li>
Experience with AI-powered automation systems.</li><li>
Experience with real-time communication systems and WebSockets.</li><li>
Master's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field.</li></ul> 
Compensation &amp; Benefits<ul><li>
Monthly compensation ranging from PKR 600,000 &ndash; PKR 850,000</li><li>
90-day probationary period.</li><li>
Eligible for company-sponsored medical insurance upon successful completion of probation.</li><li>
Eligible for holiday pay for designated company-observed holidays after 90 days of employment, subject to company policy.</li><li>
Eligible for Paid Time Off (PTO) in accordance with the company's service-based accrual model and eligibility requirements.</li><li>
Opportunity for career growth, product ownership, and direct impact on company strategy.</li></ul> 
Application Process
Qualified candidates are encouraged to submit their updated resume along with details of relevant projects, technical expertise, and availability.
Only shortlisted candidates will be contacted for interviews.</div>

Principal Software & AI Engineer - Pakistan

Qureos

<h3> </h3>As a DevOps Engineer, you will design, implement, and maintain the infrastructure that supports our applications and services — and, just as importantly, you will keep that infrastructure reliable in production. You will work closely with development, QA, and IT teams to automate and streamline operations, build the observability that lets us catch problems before customers do, and lead the response when incidents happen. This is a hands-on role where you own the health of production, not only its build-out. We are hiring at a mid level (3–5 years) for someone with strong production instincts and the judgment to grow into a senior reliability owner as we scale globally.  <h3>Key Responsibilities  </h3><h4>Infrastructure Management</h4><ul><li>Design, deploy, and manage cloud infrastructure on Google Cloud Platform (GCP).</li><li>Implement and maintain scalable container orchestration using Docker.</li></ul><h4>CI/CD Pipeline</h4><ul><li>Develop and maintain continuous integration/continuous deployment (CI/CD) pipelines to automate testing, building, and deployment processes through GitHub and Google Cloud Run.</li><li>Collaborate with development teams to integrate new features into the CI/CD process.</li></ul><h4>Monitoring &amp; Observability</h4><ul><li>Set up and manage monitoring, logging, and alerting systems using tools like Elasticsearch, Kibana, Prometheus, and New Relic.</li><li>Build dashboards, metrics, and actionable alerts so engineering detects degradations before customers do — and so no critical signal (e.g. a database running hot for hours) ever goes unnoticed.</li></ul><h4>Reliability &amp; Incident Response (SRE)</h4><ul><li>Define, measure, and own service-level objectives (SLOs/SLIs) and error budgets for critical services.</li><li>Lead incident response end to end: triage by severity, form a hypothesis and confirm it with metrics before taking action, mitigate, and drive to resolution. Act as incident commander on major incidents and coordinate communication across stakeholders.</li><li>Run blameless postmortems, identify true root causes, and track corrective actions to closure.</li><li>Participate in an on-call rotation; continuously reduce toil and mean-time-to-recovery (MTTR) through automation.</li><li>Plan for capacity, performance, and cost as we scale toward multi-region, global traffic.</li></ul><h4>Database Management</h4><ul><li>Administer and optimize MongoDB instances, ensuring data integrity, performance, and security.</li><li>Implement backup, recovery, and disaster recovery strategies for MongoDB and other databases.</li></ul><h4>Security &amp; Compliance</h4><ul><li>Implement security best practices across infrastructure, applications, and data.</li><li>Ensure compliance with industry standards and internal policies.</li></ul><h4>Automation &amp; Scripting</h4><ul><li>Automate infrastructure provisioning, configuration management, and system operations using GCP services.</li><li>Develop custom scripts as needed to enhance automation and operational efficiency.</li></ul><h4>Collaboration &amp; Support</h4><ul><li>Work closely with development and QA teams to support the software development lifecycle.</li><li>Provide technical guidance and support to resolve infrastructure-related issues.  </li></ul><h3>Qualifications  </h3><h4>Education</h4><ul><li>Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).</li></ul><h4>Experience</h4><ul><li>3–5+ years of experience as a DevOps Engineer or in a similar role.</li><li>Strong experience with Docker, including container orchestration using Kubernetes.</li><li>Hands-on experience with Google Cloud Platform (GCP) services, including Compute Engine, Cloud Storage, Cloud Run, and GKE.</li><li>Experience with Elasticsearch for monitoring, logging, and search.</li><li>Proficiency in administering and optimizing MongoDB databases.</li><li>Demonstrated experience operating production systems and responding to incidents — not only building infrastructure. You can point to real production incidents you owned, quantify their impact concretely (users affected, duration, consequence), and describe what you changed afterward.</li></ul><h4>Skills</h4><ul><li>Strong scripting skills in Python, Bash, or similar languages.</li><li>Proficiency in infrastructure as code (IaC) tools such as Terraform or Ansible.</li><li>Experience with CI/CD tools such as GitHub Actions or CircleCI.</li><li>Sound production-debugging methodology: observe and form a hypothesis before acting, reason about how components fail together (e.g. how a queue backlog interacts with the database), and update your approach when new information appears.</li><li>Familiarity with defining alerts, dashboards, and SLOs; comfort reasoning about availability, latency, saturation, and error budgets.</li><li>Excellent problem-solving and troubleshooting skills.</li><li>Strong communication skills and ability to work collaboratively across teams.</li><li>Strong ownership and a blameless, collaborative posture under pressure — focused on diagnosing and fixing problems rather than assigning blame.</li></ul><h4>Nice to Have</h4><ul><li>Experience with additional cloud platforms (e.g. AWS or Azure).</li><li>Familiarity with Agile/Scrum methodologies.</li><li>Certifications in Docker, GCP, or related technologies.</li></ul>

DevOps & Site Reliability Engineer (GCP)

Global Rescue

<div>
 
 Company
 
 
 
 
 Brief Description
 
 
 
 Global Rescue is the world&rsquo;s leading membership organization providing integrated medical, security, intelligence and crisis response services to consumers, enterprises and governments. Founded in 2004 Global Rescue&rsquo;s unique operational model provides best-in-class services that identify, monitor, and respond to threats and emergencies. For more information, please see www.globalrescue.com.
 
 
 
 Role Overview
 
 
 
 Global Rescue is seeking a versatile and driven Software Engineer &ndash; AI/LLM Applications with a strong focus on building AI-enabled enterprise software solutions. This role is intended for a strong software engineer who has hands-on experience with enterprise application development and has moved into AI-first development using LLMs, agents, automation, and modern AI engineering tools.
 
 
 This role focuses on building production-ready features, AI agents, assistants, and intelligent workflow systems that can use tools, call APIs, integrate with enterprise applications, reason over business context, and support both short-running and long-running business processes.
 
 
 This is primarily a software engineering role focused on building AI-enabled product features within enterprise systems, not a pure data science, ML research, or AI scripting-only position.
 
 
 The role involves integrating third-party LLMs such as OpenAI, Google Gemini, Claude, and other model providers into enterprise systems, while developing AI-powered features such as chatbots, assistants, Q&amp;A systems, contextual search, RAG pipelines, workflow automation, and agentic business processes.
 
 
 You will work on prompt engineering, embedding-based customization, lightweight fine-tuning, structured outputs, tool-calling, agent evaluation, validation flows, and modern agent frameworks such as Pydantic AI, Claude Agent SDK, OpenAI Agents SDK, LangGraph, or similar tools.
 
 
 The role may also involve developing capabilities in speech-to-text, text-to-speech, audio classification, sentiment analysis, intent recognition, and emotion detection to support multimodal AI experiences. Strong software engineering fundamentals, Python skills, applied AI/LLM knowledge, and experience integrating AI into real-world production applications are essential.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build, enhance, and integrate AI/LLM capabilities into enterprise applications and business systems built on any of the following technology stacks: Java, Spring Boot, Kotlin, .NET, Dynamics 365, or similar platforms, ensuring AI-enabled features are developed with strong software engineering fundamentals, clean architecture, reliable integrations, scalability, maintainability, and modern AI-first development practices.
 </li>
 <li>
 Integrate, leverage, and customize LLMs such as OpenAI, Gemini, Claude, and similar providers through APIs to enhance enterprise product features including chatbots, Q&amp;A systems, contextual search, workflow automation, and AI-assisted user experiences.
 </li>
 <li>
 Design, build, and deploy practical agentic AI systems that work within existing enterprise applications and are capable of handling short-running task execution as well as long-running, multi-step workflows involving APIs, databases, vector stores, and business systems.
 </li>
 <li>
 Design and implement prompt engineering strategies, structured outputs, tool-calling patterns, lightweight model customization techniques, and validation flows to adapt AI capabilities to business-specific software use cases.
 </li>
 <li>
 Build retrieval-augmented generation pipelines by integrating LLMs with vector stores such as FAISS, Pinecone, Qdrant, or similar platforms for reliable and dynamic knowledge grounding.
 </li>
 <li>
 Develop backend services, APIs, and integration components required to connect AI/LLM features with enterprise applications, databases, internal tools, and third-party systems.
 </li>
 <li>
 Develop AI components for speech processing, including speech-to-text, text-to-speech, audio classification, and voice-based workflows using tools and services such as Whisper, Google Speech APIs, Azure Speech, or similar platforms.
 </li>
 <li>
 Implement NLP and classification features such as sentiment analysis, intent recognition, entity extraction, summarization, and emotion detection using open-source libraries, cloud services, or third-party APIs.
 </li>
 <li>
 Follow an AI-first development approach by actively using modern AI coding assistants, LLM-based development tools, automation techniques, and rapid prototyping to improve productivity, code quality, debugging, documentation, and delivery speed.
 </li>
 <li>
 Collaborate with product, engineering, and business teams to identify opportunities where AI can improve workflows, automate repetitive tasks, enhance user experience, or support better decision-making.
 </li>
 <li>
 Develop clean, efficient, maintainable, and testable code using Python and/or relevant enterprise technology stacks, and actively participate in peer reviews, debugging, testing, CI/CD workflows, and MLOps/LLMOps-related activities.
 </li>
 <li>
 Monitor AI model performance, response quality, latency, token usage, and cost in production, and apply best practices for scalability, reliability, security, and cost-efficiency.
 </li>
 <li>
 Implement AI safety, validation, guardrails, error handling, fallback behavior, and evaluation checks to improve reliability of LLM-based workflows.
 </li>
 <li>
 Document workflows, implementation details, prompt strategies, model behavior, evaluation results, and integration patterns for cross-functional collaboration and long-term maintainability.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 4+ years of software development experience, including 2&ndash;3 years of hands-on experience building enterprise applications using any of the following technology stacks: .NET, Java, Spring Boot, Dynamics 365, or similar systems, along with 1&ndash;2 recent years of hands-on AI/LLM application development, preferably within an enterprise stack or using Python.
 </li>
 <li>
 Practical experience integrating LLMs through APIs such as OpenAI, Gemini, Claude, or similar providers.
 </li>
 <li>
 Strong understanding of prompt engineering, embeddings, model customization techniques, and basic LLM evaluation approaches.
 </li>
 <li>
 Experience building AI agents, agentic workflows, or tool-using LLM applications that interact with APIs, databases, vector stores, and enterprise systems.
 </li>
 <li>
 Familiarity with modern AI/agent frameworks such as Pydantic AI, Claude Agent SDK, LangGraph, OpenAI Agents SDK, or similar tools.
 </li>
 <li>
 Knowledge of RAG architectures, vector databases such as Qdrant, Pinecone, Chroma, or FAISS, and common NLP tasks including summarization, sentiment analysis, entity recognition, and intent detection.
 </li>
 <li>
 Experience with audio-based AI applications such as speech-to-text, text-to-speech, audio classification, and emotion or sentiment detection.
 </li>
 <li>
 Experience with REST APIs, FastAPI or similar backend frameworks, microservices, Docker, cloud platforms such as AWS, and GPU-enabled environments.
 </li>
 <li>
 Understanding of production concerns for LLM-based and agentic systems, including observability, latency, cost management, error handling, permissions, prompt/version management, security, and scalable deployment.
 </li>
 <li>
 Strong problem-solving skills, software design fundamentals, ownership mindset, and ability to work collaboratively in a team environment.
 
 
 </li>
 </ul>
 
 LOCATION:
 
 Islamabad
 
 
 
 COMPENSATION:
 
 Based on experience + bonus + benefits
</div>

Software Engineer – AI/LLM Applications

AIO App Inc

<div>About the Role:
We are seeking a highly skilled React.js / React Native Full Stack Engineer to join our growing team in Islamabad. In this role, you will play a pivotal part in designing, developing, and maintaining scalable applications that power our all-in-one restaurant management platform. You will work closely with cross-functional teams, including product owners and designers, to deliver impactful solutions that align with our mission. 
What will your responsibilities be?
<ul><li>Design, develop, and maintain scalable front-end and mobile applications using React.js and React Native.</li><li>
Contribute to backend development with Nest.js and database design with PostgreSQL.</li><li>
Write clean, efficient, and reusable code while following best practices.</li><li>
Collaborate with product, design, and QA teams to translate business requirements into technical solutions.</li><li>
Optimize application performance, ensuring responsiveness and a seamless user experience.</li><li>
Participate in code reviews, mentoring, and knowledge-sharing within the team.</li><li>
Troubleshoot, debug, and resolve technical issues in both web and mobile applications.</li><li>
Stay up to date with emerging technologies and recommend solutions to enhance product efficiency and scalability.</li></ul>
What are we looking for and what does it require to be the right fit for this role?
<ul><li>Bachelor's degree in Computer Science, Software Engineering, or a related field.</li><li>
Strong hands-on experience with React.js and React Native.</li><li>
Solid understanding of RESTful APIs, modern JavaScript (ES6+), and state management libraries (e.g., Redux)</li><li>
Backend development using Nest.js or similar frameworks.</li><li>
Experience with PostgreSQL or other relational databases.</li><li>
Proficiency with version control systems such as Git.</li><li>
Strong problem-solving and analytical skills with a detail-oriented mindset.</li><li>
Ability to work independently while being an excellent team player.</li></ul>
Nice to Haves:<ul><li>
Exposure to CI/CD pipelines and cloud platforms (AWS, GCP, or Azure).</li><li>
Familiarity with Agile/Scrum methodologies.</li></ul>
Soft Skills:
<ul><li>Strong communication and collaboration skills.</li><li>
Proactive attitude with a focus on delivering results.</li><li>
Willingness to learn and adapt in a fast-paced startup environment.</li></ul>
Why Join AIO?
Our mission is to revolutionize the US restaurant industry by providing a comprehensive and fully integrated solution that empowers restaurant owners to efficiently manage all aspects of their business. Our platform, designed to meet the unique challenges (post-COVID-19) faced by restaurants, combines our patented AI technology with unparalleled customer support to help owners increase revenue, reduce costs, and improve their overall profit margins. 
 
We believe that restaurants should be able to focus on delivering exceptional dining experiences to their customers, without the added stress of managing complex and disparate systems. That's why we offer an All-In-One super app platform for all their needs, from front-of-the-house operations like ordering, payment, marketing and rewards, to back-of-the-house management like inventory, staff, and financials. 
 
We are laser-focused on becoming a significant player in the $55 billion restaurant tech SaaS market. You will be a part of a world-class Silicon Valley-funded mode startup.</div>

React.js - React Native Full Stack Engineer

Explore 4+ Structural engineer in Islamabad this July. Find roles across top companies and apply now to boost your career.

4 structural engineer jobs In Islamabad

Principal Software & AI Engineer - Pakistan

DevOps & Site Reliability Engineer (GCP)

Software Engineer – AI/LLM Applications

React.js - React Native Full Stack Engineer