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design engineer - eplan Jobs in Islamabad

design engineer - eplan

design engineer eplan

QZ Industrial Solutions

We are looking for a skilled Design Engineer to join our Islamabad team.Required Qualifications:Bachelor's Degree in Electrical, Electronics, or Automation Engineering. 2&ndash;4 years of experience in industrial automation/control systems design.Proficiency in EPLANWhat We Offer:Competitive salary. Opportunities for professional growth and development. A dynamic, collaborative work environment, training, and employee development.Job Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>industrial automation/control systems Design: 4 years (Required)</li></ul>Language:<ul><li>English (Required)</li></ul>Location:<ul><li>Islamabad (Preferred)</li></ul>Work Location: In person

Design Engineer - EPLAN

Veevo Tech

VeevoNix (a subsidiary of Veevo Tech) is engaged in research and manufacturing across electronic and energy segment products. ChargeX &mdash; a 10+ year LFP-based power storage battery, designed &amp; built from scratch with custom built firmware, a touchscreen HMI, Hardware PCBs, and a cloud monitoring platform, LFP based storage chemistry and the electronics to hold it all together &mdash; is the first product built on this foundation, and it will not be the last.You will be the single point of accountability for engineering delivery and manufacturing process quality at VeevoNix. You run the sprint calendar, hold the team to SOPs and delivery timelines, and act as the operational bridge between the engineering pillars and the manufacturing floor - because at ChargeX, a firmware bug and an assembly defect can have the same root cause, and someone needs to see both sides.You will also bring practical 3D design and CAD literacy to support enclosure and casing design work - reviewing mechanical designs for manufacturability, coordinating with the Hardware Engineer on how the electronics fit the case, and helping evaluate or produce basic 3D models for new product variants.Core responsibilitiesDelivery management<ul><li>Own the engineering sprint and release calendar across all three pillars - firmware, cloud, and hardware</li><li>Break down roadmap items from the CTO / Technical Product Manager into scoped tasks with clear owners and deadlines</li><li>Run weekly standups and bi-weekly sprint reviews; maintain a live delivery tracker visible to the CTO</li><li>Identify and escalate delivery risks - dependency delays, resourcing gaps, scope creep - before they become blockers</li><li>Ensure every release (firmware OTA, cloud deployment, PCB revision) passes through a defined review and sign-off gate before going live</li><li>Hold pillar contributors accountable to committed timelines without needing to personally review their code or circuit designs</li><li>Leading the Product R&amp;D function in collaboration with existing engineering teams to ensure the product(s) stay competitive and innovative.</li></ul>SOP compliance &amp; process discipline<ul><li>Own and enforce engineering process standards: Git workflow, code review requirement (peer-reviewed by pillar contributors, not by you), firmware versioning, PCB revision control</li><li>Ensure every engineering deliverable has a documented spec, a review record, and a sign-off before release</li><li>Audit process compliance regularly - flag and correct process drift before it becomes habitual</li><li>Maintain the engineering SOP library and update it as the team and product evolve</li><li>Coordinate directly with the Production Supervisor to align engineering release processes (firmware versions, BOM changes) with manufacturing SOPs - no mismatch between what engineering ships and what production builds</li></ul>Manufacturing process linkage &amp; optimisation<ul><li>Work with the Production Supervisor to understand the current 10-stage assembly process and identify where engineering decisions (design, firmware, test procedure) affect manufacturing efficiency or yield</li><li>Review recurring NCRs (Non-Conformance Reports) from the floor and determine whether root cause is a design issue, firmware issue, or process issue - route accordingly</li><li>Identify opportunities to simplify or improve product design for easier, faster, more reliable assembly (Design for Manufacturing / Design for Testability)</li><li>Support the QC Engineer and Hardware Engineer in improving test fixtures and end-of-line test procedures for better throughput and accuracy</li><li>Propose and track process improvement initiatives - cycle time reduction, defect rate reduction, rework reduction - with monthly measurable targets</li></ul>Enclosure &amp; mechanical design support (3D / CAD)<ul><li>Bring working proficiency in a 3D CAD tool (SolidWorks, Fusion 360, or equivalent) to support casing and enclosure design for new product variants</li><li>Review and provide feedback on mechanical enclosure designs - fit, thermal considerations, cable routing, serviceability, and manufacturability</li><li>Coordinate between the Hardware Engineer (PCB/electronics) and any external mechanical/industrial designer to ensure the case, PCB, and touchscreen integrate cleanly</li><li>Where budget doesn't justify a dedicated mechanical designer, personally produce or modify basic 3D models for enclosure revisions and prototypes</li><li>Maintain a library of enclosure design files, revisions, and fabrication/tooling notes</li></ul>Team leadership &amp; hiring<ul><li>Line-manage all IC engineers: weekly 1-on-1s, quarterly performance reviews, career development conversations</li><li>Lead hiring for open engineering roles - write JDs, screen CVs, coordinate technical interviews with the relevant pillar lead or CTO for deep technical assessment</li><li>Build a team culture of documentation, peer review, and cross-pillar knowledge sharing</li><li>Recommend headcount changes (hire, contract, or outsource) per pillar based on delivery data, not gut feel</li></ul>CTO interface &amp; reporting<ul><li>Deliver a weekly engineering and manufacturing status report: what shipped, what's in progress, what's at risk, key process metrics</li><li>Translate CTO product priorities into engineering commitments with realistic delivery dates</li><li>Represent engineering and manufacturing coordination in cross-functional discussions with sales, customer experience, and the Technical Product Manager</li><li>Flag any design or process decision with significant cost, timeline, or quality risk before it is locked in</li></ul>RequirementsEssential<ul><li>1&ndash;4 years of experience in engineering management, technical program management, or a senior technical delivery role</li><li>A working mix of electrical and computer engineering fundamentals - enough to understand firmware, embedded systems, and cloud/backend concepts well enough to plan, question, and coordinate, without needing to be a specialist in any one</li><li>Proven experience managing cross-functional technical teams and holding delivery timelines</li><li>Practical working knowledge of a 3D CAD tool (SolidWorks, Fusion 360, AutoCAD, or equivalent) for enclosure/mechanical design review</li><li>Experience working with or managing a manufacturing or production floor, or strong operational process discipline that transfers directly</li><li>Strong documentation habits and comfort enforcing process compliance across a team</li><li>Excellent communication skills in English and Urdu</li></ul>Preferred<ul><li>Background in a hardware, electronics, or IoT product company - especially one with both a manufacturing floor and a software/cloud component</li><li>Familiarity with Design for Manufacturing (DFM) and Design for Testability (DFT) principles</li><li>Exposure to lean manufacturing or continuous improvement methodologies (5S, Kaizen, or similar)</li><li>Degree in Electrical Engineering, Mechatronics, or Computer Engineering</li><li>Prior experience in a startup or early-stage hardware company where process needed to be built from scratch</li></ul>This is a full-time permanent contract-bound office-based Job &amp; the starting salary would be 75K-120K as per professional experience + other allowances.Pay &amp; Perks: - Basic Pay - Free Company Maintained Accommodation (if required). - Fuel Allowance (if applicable). - Emergency Health Cover (Applicable after 01 year). - Paid Annual Leaves. - Employee Old Age Benefit Contribution (EOBI). - A healthy &amp; glass door open working environment.Pay: Rs75,000.00 - Rs120,000.00 per monthWork Location: In person

Mechatronics 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

The Protector's

We are looking for an experienced and target-driven Outdoor Sales Engineer with up to 5 years of experience in B2B field sales. The ideal candidate will be responsible for expanding our client base, managing major accounts, and driving sales for our manufactured interior products by targeting architects, interior designers, contractors, and corporate clients.Key Responsibilities<ul><li>Outdoor Sales &amp; Client Visits: Conduct direct field visits to meet architects, interior designers, general contractors, and corporate clients to promote manufactured interior products.</li><li>Business Development: Proactively identify new commercial/residential projects and build a robust sales pipeline.</li><li>Technical Product Consulting: Present technical product specifications, custom solutions, and product samples to design professionals and project consultants.</li><li>Proposal &amp; Closing Management: Prepare cost estimates, technical quotations, handle negotiations, and successfully close high-value sales deals.</li><li>Key Account Management: Maintain strong long-term relationships with key industry stakeholders to ensure repeat business and project referrals.</li><li>Market Intelligence: Monitor market trends, customer demands, and competitor activities to adjust sales strategies accordingly.</li></ul>Work Location: In person

Experienced Outdoor Sales Engineer (Interior Products)

ZENCLOUD TECHNOLOGIES (PRIVATE) LIMITED

We are looking for a skilled full-stack mobile engineer with 2&ndash;3 years of experience in Flutter and backend development. The ideal candidate will be responsible for building high-quality cross-platform mobile applications, developing scalable backend services, and collaborating with cross-functional teams to deliver robust, secure, and user-friendly solutions.Key Responsibilities<ul><li>Develop and maintain high-quality cross-platform mobile applications using Flutter and Dart.</li><li>Design, develop, and maintain scalable backend APIs and services using Node.js, TypeScript, NestJS, or Express.js.</li><li>Integrate mobile applications with RESTful APIs and third-party services.</li><li>Implement secure authentication, authorization, and data management solutions.</li><li>Work with databases and ensure efficient data storage and retrieval.</li><li>Collaborate with UI/UX designers, product managers, and other developers to deliver high-quality applications.</li><li>Optimize application performance, security, scalability, and responsiveness.</li><li>Troubleshoot, debug, and resolve frontend and backend issues.</li><li>Participate in code reviews and follow clean coding and best development practices.</li><li>Use version control and contribute to the continuous improvement of development workflows.</li></ul>Requirements<ul><li>2&ndash;3 years of professional experience in Flutter and full-stack/backend development.</li><li>Strong proficiency in Flutter and Dart.</li><li>Hands-on experience with Node.js and TypeScript.</li><li>Experience with backend frameworks such as NestJS or Express.js.</li><li>Strong understanding of RESTful APIs, authentication, authorization, and database design.</li><li>Experience working with databases such as PostgreSQL, MySQL, MongoDB, or Firebase.</li><li>Experience with Git/GitHub and version control workflows.</li><li>Familiarity with CI/CD pipelines and cloud platforms such as AWS or Google Cloud is a plus.</li><li>Knowledge of Docker, Redis, WebSockets, or real-time application development is a plus.</li><li>Strong problem-solving and debugging skills.</li><li>Excellent communication and teamwork abilities.</li></ul>Pay: From Rs90,000.00 per monthWork Location: In person

Full-Stack Mobile Engineer (Flutter)

<div>Location 
Islamabad, Islamabad Capital Territory, Pakistan
Office Location 
House #571, Street #35, E-11/3, Islamabad, Pakistan
Monthly Salary 
PKR 250,000 - PKR 400,000 per month (commensurate with experience and technical expertise)
Work Setup: Hybrid<ul><li>
3 days in office</li><li>
2 days remote</li></ul>
Working Hours 
07:00 PM to 04:00 AM PKT 
About Volga Partners
Volga Partners is a global leader in Generative AI (GenAI) innovation, building intelligent systems, custom LLM applications, and advanced automation solutions for organizations worldwide. We design, develop, and deploy AI-powered technologies that help organizations solve complex business challenges across industries including finance, healthcare, legal, and technology.
With a global workforce of 3,000+ professionals across multiple countries, Volga Partners combines diverse expertise, innovation, and technical excellence to deliver impactful AI solutions at scale.
We are seeking an experienced AI &amp; Backend Engineer to help build and scale production-grade AI applications used by global clients. This role is ideal for engineers who have already worked on AI-powered solutions and are comfortable taking ownership of technical initiatives from architecture through deployment.
You will work directly with leadership, product teams, and engineering stakeholders to develop scalable backend systems, Retrieval-Augmented Generation (RAG) pipelines, LLM-powered applications, and intelligent automation solutions.
This role is designed for experienced engineers who can contribute independently and are seeking long-term growth, ownership, and exposure to cutting-edge AI technologies. 
Why Join Volga Partners<ul><li>
Build real-world AI applications used by global organizations.</li><li>
Work with modern LLM technologies and AI orchestration frameworks.</li><li>
Own projects from design through production deployment.</li><li>
Influence technical architecture and product direction.</li><li>
Collaborate directly with leadership and engineering teams.</li><li>
Join a growing organization focused on the future of Generative AI.</li></ul>
Key Responsibilities<ul><li>
Design and implement scalable backend services and microservices using Python and/or Node.js.</li><li>
Build and deploy production-ready AI solutions, including copilots, chatbots, and workflow automation systems.</li><li>
Develop and optimize Retrieval-Augmented Generation (RAG) pipelines.</li><li>
Integrate and manage large language models, including OpenAI, Anthropic, and open-source models.</li><li>
Design secure, performant APIs and backend infrastructure.</li><li>
Process and structure enterprise data for AI workflows.</li><li>
Improve reliability, performance, latency, and cost efficiency of AI systems.</li><li>
Collaborate with product and engineering stakeholders to deliver quality solutions.</li></ul>
Qualifications
Required<ul><li>
4+ years of professional software engineering experience, with a documented track record of building and managing scalable backend architectures.</li><li>
At least 3 years of hands-on experience building AI or LLM-powered solutions into production environments.</li><li>
Demonstrated experience building and supporting scalable backend applications.</li><li>
Experience deploying AI or LLM-powered solutions into production environments.</li><li>
Strong proficiency in Python and/or JavaScript/TypeScript.</li><li>
Experience with RAG architectures, vector databases, embeddings, or AI orchestration frameworks.</li><li>
Experience working with APIs, cloud environments, and modern development practices.</li><li>
Ability to work independently and take ownership of technical solutions from design through deployment.</li></ul>
Preferred<ul><li>
Experience with OpenAI, Anthropic, LangChain, or LlamaIndex.</li><li>
Experience with Pinecone, Chroma, or other vector databases.</li><li>
AWS experience.</li><li>
Experience building agentic AI workflows or automation systems.</li><li>
Experience working with complex enterprise data environments.</li></ul>
Important
This is not an entry-level AI role. We are seeking engineers who have prior experience building AI-powered solutions and can contribute independently in a fast-paced environment with minimal supervision. 
What We Offer<ul><li>
Monthly salary of PKR 250,000 - PKR 400,000 based on experience and technical expertise.</li><li>
Opportunity to build and own production of AI applications used by global clients.</li><li>
Direct exposure to Generative AI, LLM systems, RAG frameworks, and intelligent automation solutions.</li><li>
High-impact role with visibility to leadership and influence over technical decisions.</li><li>
A collaborative and fast-paced environment focused on execution and innovation.</li><li>
90-day probationary period.</li></ul>
Benefits Eligibility
Upon successful completion of the statutory probationary period, employees become eligible for:<ul><li>
Company-sponsored medical insurance, subject to company policy.</li><li>
Paid Time Off (PTO) in accordance with the company's service-based PTO policy.</li><li>
Holiday pay for designated company-observed holidays, subject to company policy.</li><li>
Career growth opportunities, increased ownership, and continued professional development within a rapidly growing AI-focused organization.</li></ul></div>

AI & Backend Engineer - Production AI & LLM Systems | Pakistan

Nayatel

<div>
 
 
 Job Overview:
 
 
 
 You&rsquo;ll own quality across Invictus end to end &mdash; the platform itself (web apps, APIs, and data and document pipelines) and the agentic AI layer that runs on top of it (multi-agent workflows, retrieval, and copilot features). This is a hands-on ownership role for a QA engineer who is equally at home automating regression suites for a SaaS product and bringing structure and rigor to testing non-deterministic AI systems &mdash; treating evaluation as an engineering discipline rather than an afterthought.
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 3&ndash;5 years of QA / test engineering experience, with real ownership of quality for systems running in production.
 </li>
 <li>
 Strong test automation across the stack &mdash; API-level testing of backend services (Python/pytest, Postman/REST) and end-to-end UI automation (Playwright, Cypress, or similar), with the discipline of maintainable, reviewable test code.
 </li>
 <li>
 Solid QA fundamentals &mdash; test strategy and planning, regression and integration testing, defect triage, and release sign-off for a live SaaS product.
 </li>
 <li>
 Demonstrable experience testing LLM-powered or agentic systems &mdash; designing eval datasets, golden sets, and regression suites for non-deterministic outputs. This is what sets this role apart from a standard QA position.
 </li>
 <li>
 A systematic approach to LLM evaluation &mdash; LLM-as-judge, rubric design, human-in-the-loop review, and structured iteration backed by metrics rather than ad-hoc spot checks.
 </li>
 <li>
 Working knowledge of agentic patterns &mdash; tool use, multi-agent orchestration, and RAG &mdash; enough to design meaningful test scenarios: agent trajectory checks, tool-call correctness, groundedness, and hallucination detection.
 </li>
 <li>
 Hands-on experience wiring quality gates into CI/CD (GitHub Actions) and running tests in Docker-based environments.
 </li>
 <li>
 Strong debugging instincts in complex, non-deterministic systems &mdash; comfortable following a failure end-to-end through logs and traces before guessing.
 </li>
 <li>
 Fluency with modern AI-assisted development tools &mdash; Claude Code, Cursor, or similar.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have:
 
 
 <ul>
 <li>
 Hands-on experience with eval frameworks and tooling &mdash; RAGAS, DeepEval, promptfoo, or the eval features of LangSmith / Langfuse.
 </li>
 <li>
 RAG retrieval evaluation metrics (recall@k, MRR, context precision/recall) and how they hold up against real-world data.
 </li>
 <li>
 Adversarial / red-team testing &mdash; prompt injection, jailbreaks, PII leakage, and guardrail verification.
 </li>
 <li>
 Performance and load testing &mdash; both classic API/UI load (Locust, k6, JMeter) and LLM-specific dimensions like latency and token cost under concurrency.
 </li>
 <li>
 Testing data pipelines or document-processing workflows &mdash; extraction, chunking, and indexing quality.
 </li>
 <li>
 Experience with Azure or similar cloud platforms, and observability tooling (Application Insights, OpenTelemetry, Langfuse).
 </li>
 <li>
 Exposure to financial services, wealth management, or other regulated domains.
 </li>
 </ul>
</div>

AI Platform QA Engineer

Explore 37+ Design engineer eplan in Islamabad this August. Find roles across top companies and apply now to boost your career.