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senior stack engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Senior Full Stack Engineer (Vue.js &amp; Node.js)</h3>
Experience: 5&ndash;8 Years 
Employment Type: Full-Time, Permanent 
Work Model: Hybrid 
Location: Lahore, Karachi, Islamabad (Pakistan)<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking a highly skilled Senior Full Stack Engineer (Vue &amp; Node) to contribute to the design, development, and delivery of scalable, cloud-native applications. The ideal candidate will be hands-on across frontend and backend development, with strong experience in Vue.js, Node.js, and AWS-based architectures.<h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
5&ndash;8 years of professional experience in full-stack software development</li><li>
Strong backend development expertise using Node.js</li><li>
Hands-on frontend experience with Vue.js (Vue 3) for building responsive user interfaces</li><li>
Experience working with RESTful APIs and/or GraphQL</li><li>
Practical exposure to AWS services, including Lambda, Amplify, API Gateway, and RDS/MySQL</li><li>
Understanding of microservices, serverless architectures, and event-driven systems</li><li>
Experience with Web Sockets and real-time communication</li><li>
Familiarity with CI/CD pipelines, automated testing, and version control systems</li><li>
Solid problem-solving skills and attention to detail</li><li>
Strong communication and collaboration skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Exposure to Docker, AWS CDK, or CloudFormation</li><li>
Experience with Agile/Scrum methodologies and tools such as Jira or Confluence</li><li>
Basic experience mentoring junior engineers</li></ul><h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain full-stack applications using Vue.js and Node.js</li><li>
Build scalable backend services and APIs integrated with AWS infrastructure</li><li>
Implement responsive UI components and frontend architecture best practices</li><li>
Work closely with product, QA, and DevOps teams to deliver high-quality solutions</li><li>
Contribute to code reviews, testing strategies, and technical documentation</li><li>
Troubleshoot, debug, and optimize application performance</li><li>
Stay current with modern web development and cloud technologies</li></ul><h3 class="jobSectionHeader">
What We Offer</h3><ul><li>
Opportunity to work on modern, cloud-native products</li><li>
Competitive compensation and benefits</li><li>
Hybrid working environment in Lahore, Karachi, or Islamabad</li><li>
Collaborative engineering culture with learning and growth opportunities</li></ul>
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Senior Full Stack Engineer (Vue.js & Node.js)

Rapid Labs

Senior Full Stack Machine Learning EngineerAbout Rapid LabsRapid Labs is a US based AI startup focused on building production ready, practical machine learning systems that solve real operational problems. We partner with businesses to design and deploy AI solutions that deliver measurable outcomes, not experiments or hype driven prototypes.Our culture values ownership, engineering excellence, and clear thinking. We work in fast moving, ambiguous environments where strong fundamentals and real world execution matter more than buzzwords.About the RoleWe are hiring a Senior Full Stack Machine Learning Engineer to own the design, development, and operation of production grade machine learning systems. This role is centered on applied and classical machine learning, not LLM only or prompt driven workflows.You will work close to the problem space, translating messy operational and business challenges into reliable ML systems that run in production. This is a hands on role for engineers who enjoy building, deploying, and improving real systems in the cloud and taking responsibility for outcomes.What You Will DoBuild and Own End to End ML Systems<ul><li>Own the full machine learning lifecycle from raw data to deployed, monitored, and continuously improving models</li><li>Design predictive, prescriptive, and optimization solutions for use cases such as manufacturing operations, predictive maintenance, quality analytics, and supply chain efficiency</li><li>Apply classical ML and statistical methods including time series forecasting, anomaly detection, regression, classification, clustering, probabilistic modeling, and optimization</li></ul>Engineer Strong Data and Feature Pipelines<ul><li>Build reliable ETL and ELT pipelines for batch and near real time ML workloads</li><li>Perform exploratory data analysis to understand data quality, distributions, bias, and signal</li><li>Design feature pipelines and feature stores that keep training and inference consistent</li><li>Integrate data from APIs, databases, and event streams with strong validation, schema control, and observability</li></ul>Ship and Operate Production ML<ul><li>Deploy models as scalable services using APIs, batch jobs, or streaming inference</li><li>Implement monitoring for model performance, drift, data quality, and system health</li><li>Work closely with platform and software teams to deliver secure, reliable, and cost efficient systems</li><li>Help define and enforce MLOps standards including CI CD, versioning, reproducibility, and rollback strategies</li></ul>Lead Technically and Collaborate Effectively<ul><li>Turn ambiguous business problems into clear ML problem statements, success metrics, and delivery plans</li><li>Make sound technical decisions on model selection, evaluation methods, and trade offs</li><li>Communicate results, risks, and limitations clearly to stakeholders using dashboards, visualizations, and documentation</li><li>Mentor junior engineers and raise the bar for ML engineering practices at Rapid Labs</li></ul>What We Are Looking ForMust Have<ul><li>Seven or more years of experience across machine learning engineering, data engineering, and production systems</li><li>At least five years of hands on experience delivering end to end machine learning solutions in production</li><li>Strong depth in classical machine learning and applied statistics beyond generative AI focused work</li><li>Solid understanding of evaluation techniques, validation strategies, bias variance trade offs, and failure modes</li><li>Advanced Python skills for production ML including clean code, testing, packaging, and performance tuning</li><li>Strong SQL skills and experience designing data models for analytics and ML</li><li>Three or more years of cloud experience with GCP preferred and AWS acceptable</li><li>Hands on experience with BigQuery, Cloud Storage, Dataflow or Apache Beam, Airflow or Cloud Composer, and containerized deployments using Docker and Kubernetes or managed equivalents</li><li>Experience operationalizing ML using tools such as MLflow, CI CD pipelines, workflow orchestration, and monitoring systems</li><li>Proven ability to monitor, debug, and improve models after deployment including drift detection and retraining</li><li>Strong problem solving skills with the ability to translate business needs into ML outcomes</li><li>Clear and confident communication skills with both technical and non-technical stakeholders</li><li>Experience working with cross functional teams including engineering, operations, and product</li></ul>Nice to Have<ul><li>Experience in manufacturing, industrial systems, or supply chain domains</li><li>Ownership of a technical roadmap or AI product lifecycle from planning to delivery</li><li>GCP or AI and ML related professional certifications</li><li>Background in consulting or client facing roles</li><li>Some exposure to GenAI or LLMs is welcome when combined with strong classical ML fundamentals, with LLMs used as supporting components rather than the core focus</li></ul>Salary &amp; Benefits<ul><li>Competitive salary and fringe benefits.</li><li>Paid Time off</li><li>Leaves encashment</li><li>EOBI</li><li>Professional Development</li><li>Career Advancement</li><li>Team Building Activities</li><li>Innovative Work Environment</li><li>Work-Life Balance</li><li>Company trips</li><li>Wellness Programs</li><li>Performance based promotion</li></ul>Location: Lahore Office, Islamabad Office, or Remote (Flexible)This role offers flexibility in how you work. Candidates may choose to join our Lahore office, work from our Islamabad office, or operate fully remote, depending on what works best for them.Office Hours: 05:00 PM to 02:00 AM (Monday to Friday) Job Type: Full-timeApplication Question(s):<ul><li>What is your current salary?</li><li>What is your expected salary?</li><li>What is the duration of your notice period in days?</li><li>Do you have 7+ years of experience as a Senior Full Stack Machine Learning Engineer?</li></ul>Experience:<ul><li>Senior Full Stack Machine Learning Engineer: 7 years (Preferred)</li></ul>Language:<ul><li>English fluently (Preferred)</li></ul>Work Location: In person

Senior Full Stack Machine Learning Engineer

Confiz

<div>We are hiring a Senior/Principal Full Stack Engineer (Java + React) with 3-7 years of experience to design, develop, and maintain scalable software solutions for Supply Chain and warehouse management. The ideal candidate will have strong expertise in Java, Spring Boot, and React, along with cloud technologies, and the flexibility to work from 2 PM to 11 PM PKT to collaborate with global teams.
Responsibilities:
<ul><li>Develop full-stack software systems to support Supply Chain services and warehouse management.
</li><li>Design, architect, and implement frontend (React) and backend (Java/Spring Boot) solutions for complex business problems.
</li><li>Ensure the delivery of high-quality, scalable, and maintainable code with proper testing.
</li><li>Document system designs and technical specifications.
</li><li>Provide on-call support for production systems owned by the team.
</li></ul>Requirements:
<ul><li>3-7 years of professional experience in full-stack development (Java + React).
</li><li>Strong proficiency in Backend: Java, Spring Boot, Microservices, REST APIs and Frontend: React.js, JavaScript/TypeScript, modern UI frameworks
</li><li>Experience with distributed systems and large-scale applications.
</li><li>Expertise in incident management, debugging, and root cause analysis.
</li><li>Hands-on experience with messaging systems (Kafka) and databases (SQL/NoSQL).
</li><li>Proficiency in cloud platforms (AWS, Kubernetes); GCP is a plus.
</li><li>Familiarity with CI/CD pipelines (GitLab, Terraform), logging (New Relic, Splunk), and observability tools.
</li><li>Ability to design and articulate scalable system architectures.
</li><li>Flexibility to work from 2 PM to 11 PM PKT for team collaboration.
</li><li>Prior experience in Supply Chain is a plus.
</li></ul>We have an amazing team of 700+ individuals working on highly innovative enterprise projects &amp; products. Our customer base includes Fortune 100 retail and CPG companies, leading store chains, fast-growth fintech, and multiple Silicon Valley startups.
What makes Confiz stand out is our focus on processes and culture. Confiz is ISO 9001:2015 (QMS), ISO 27001:2022 (ISMS), ISO 20000-1:2018 (ITSM), ISO 14001:2015 (EMS), ISO 45001:2018 (OHSMS) Certified. We have a vibrant culture of learning via collaboration and making workplace fun.
People who work with us work with cutting-edge technologies while contributing success to the company as well as to themselves.
To know more about Confiz Limited, visit: https://www.linkedin.com/company/confiz-pakistan/</div>

Senior/Principal Fullstack Engineer (Java+React)

Easy Recruitment PK

We&rsquo;re Hiring: Senior MERN Stack Developer (Karachi)We are looking for an experienced Senior MERN Stack Developer to join our growing team in Karachi.Requirements:&bull;*	Experience: 3&ndash;7 years working with the MERN stack*&bull;*	Strong hands-on expertise in:*o*	MongoDB, Express.js, React.js, Node.js*o*	RESTful APIs and microservices*o*	Frontend performance optimization*o*	Database design and management*&bull;*	Ability to work independently and in a team environment*&bull;*	Good problem-solving and communication skills*Location: KarachiType: Full-timeIf you&rsquo;re passionate about building scalable web applications and want to work in a dynamic environment, we&rsquo;d love to hear from you!Share your CV at cecilia.dsouza@avanzasolutions.com#Hiring #MERNStack #KarachiJobs #SoftwareDevelopment #TechCareersJob Type: Full-timePay: Up to Rs300,000.00 per monthWork Location: In person

Senior MERN Stack Developer

NXT LABS

<div>
 Job Brief
 
 
 Position:
 
 Senior MLOps Engineer
 
 Role Objective
 
 Ensure all production Machine Learning models are reliable, continuously monitored, retrainable, and fully auditable. This role exists to prevent silent model decay and reduce operational load on Data Science teams by architecting robust, automated deployment and monitoring frameworks.
 
 Role Description
 
 The Senior MLOps Engineer is responsible for the technical implementation of production-grade Machine Learning systems. This includes architecting scalable pipelines, managing real-time inference services, and ensuring seamless integration within cloud environments.
 
 
 The role focuses on transitioning models from experimentation to high-throughput production services, ensuring each solution is secure, performant, and engineered to solve complex organizational challenges at scale.
 
 Company Overview
 
 
 NXT
 
 is a fast-growing technology organization focused on building scalable products and intelligent solutions that simplify and improve the lives of users worldwide. We aim to foster a high-performance technology culture and an entrepreneurial ecosystem recognized for excellence and innovation.
 
 Key Responsibilities
 <ul>
 <li>
 
 
 End-to-End Productionization:
 
 Architect and deploy ML models across the full lifecycle (training &rarr; deployment &rarr; monitoring).
 
 </li>
 <li>
 
 
 Model Observability:
 
 Implement comprehensive monitoring for data drift, model drift, and performance degradation.
 
 </li>
 <li>
 
 
 Retraining &amp; Rollbacks:
 
 Design and own automated retraining pipelines and safe rollback mechanisms to maintain model integrity.
 
 </li>
 <li>
 
 
 ML CI/CD:
 
 Build and maintain automated workflows for model versioning, lineage tracking, and artifact storage.
 
 </li>
 <li>
 
 
 Inference Optimization:
 
 Apply optimization techniques such as quantization, pruning, and caching to reduce compute costs and improve latency.
 
 </li>
 <li>
 
 
 Standardization:
 
 Establish best practices for model registries, metadata management, and reproducibility of production assets.
 
 </li>
 <li>
 
 
 Operational Integration:
 
 Collaborate with cross-functional teams to operationalize ML models for use cases such as search ranking, valuation engines, and quality scoring.
 
 </li>
 </ul>
 Technical Stack &amp; Tools
 <ul>
 <li>
 
 
 Programming:
 
 Python (Expert), SQL (Expert), FastAPI or Flask (Model APIs)
 
 </li>
 <li>
 
 
 Orchestration:
 
 Airflow, Dagster, or Prefect; GitHub Actions for CI/CD
 
 </li>
 <li>
 
 
 MLOps Frameworks:
 
 MLflow, DVC, Weights &amp; Biases, Kubeflow
 
 </li>
 <li>
 
 
 Infrastructure:
 
 Docker, Kubernetes
 
 </li>
 <li>
 
 
 Cloud Platforms:
 
 AWS SageMaker, Azure ML, or GCP Vertex AI
 
 </li>
 <li>
 
 
 Monitoring:
 
 Prometheus, Grafana, or equivalent observability tools
 
 </li>
 <li>
 
 
 Data Processing:
 
 Apache Spark (PySpark), Databricks, or Snowflake
 
 </li>
 </ul>
 Qualifications &amp; Experience
 <ul>
 <li>
 
 
 Experience:
 
 
 <ul>
 <li>
 
 5+ years in Data Science / Machine Learning
 
 </li>
 <li>
 
 3+ years specifically in MLOps or Production ML Engineering
 
 </li>
 </ul>
 </li>
 <li>
 
 
 Production Delivery:
 
 
 Proven experience building, deploying, and maintaining high-throughput inference services in live production environments.
 
 </li>
 <li>
 
 
 System Grit:
 
 
 Comfortable working with legacy systems and imperfect infrastructure to design robust, scalable pipelines.
 
 </li>
 <li>
 
 
 Business Systems Integration:
 
 
 Experience integrating ML solutions with enterprise systems such as ERP, CRM, or supply chain platforms.
 
 </li>
 <li>
 
 
 Cloud Collaboration:
 
 
 Strong experience delivering AI solutions on AWS, Azure, or GCP in collaboration with Data Engineering and DevOps teams.
 
 </li>
 </ul>
 Additional Notes
 <ul>
 <li>
 
 
 Immediate joiners will be preferred.
 
 
 </li>
 </ul>
</div>

Senior MLOps Engineer

Cubitrek Private Limited

Role overview We are hiring a Senior AI Engineer for our B2B SAAS to own the design, implementation, and scaling of our AI systems across ingestion, retrieval, and agentic workflows. Key responsibilities<ul><li>Design, build, and maintain production-grade AI services powering knowledge ingestion, retrieval-augmented generation (RAG), and role-based AI agents.</li><li>Architect end-to-end AI pipelines: from connecting to third-party tools and data sources to indexing in vector stores and exposing APIs to product surfaces.</li><li>Implement and optimize LLM-based workflows (prompting, tools, agents, evaluation loops) for reliability, latency, and cost.​</li><li>Own system design for new AI features, making clear trade-offs between accuracy, latency, and infrastructure cost.​</li><li>Ship high-quality, well-tested code in a modern backend stack, integrating with our existing microservices and front-end applications.​</li><li>Monitor and improve AI features in production (observability, logging, evaluation, guardrails, incident response).</li><li>Collaborate closely with product and core engineering to translate customer problems into technical roadmaps and implementation plans.​</li><li>Establish and champion best practices for AI engineering, code quality, and security in an enterprise context.</li><li>Mentor other engineers on AI patterns, architecture, and tooling.</li></ul>Required qualifications<ul><li>5+ years of experience in software engineering, with at least 2&ndash;3 years focused on building AI/ML-powered products in production.</li><li>Strong proficiency in a modern backend language (e.g., TypeScript/Node.js or Python) and experience building REST/GraphQL APIs or similar service interfaces.</li><li>Hands-on experience with LLMs and generative AI (commercial APIs such as OpenAI/Anthropic or open-source models), including integrating them into real products.</li><li>Experience designing and operating retrieval-augmented generation (RAG) or semantic search systems using vector databases (e.g., Milvus, Qdrant, Pinecone, pgvector).</li><li>Solid understanding of system design, distributed systems basics, and cloud infrastructure (GCP, AWS, or similar).</li><li>Strong skills in testing, monitoring, and maintaining production services (logging, metrics, alerting, CI/CD).</li><li>Ability to work independently in a fast-paced startup, take ownership, and drive projects from idea to production.</li><li>Excellent communication skills and comfort collaborating with non-technical stakeholders.</li></ul>Nice-to-have<ul><li>Familiarity with multi-tenant SaaS architectures and role-based access control.​</li><li>Experience with event-driven architectures and streaming (e.g., Kafka, Pub/Sub) for ingestion pipelines.</li><li>Background in security/compliance for enterprise customers (logging, auditability, data residency).</li><li>Prior startup or early-stage product experience.</li></ul>Benefits:<ul><li>Health and Life Insurance coverage</li><li>Paid Leaves as per company policy</li><li>Annual Increment based on performance evaluation</li><li>Hands-on practical experience on real projects</li><li>Supportive and collaborative work environment</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What's your Current Salary?</li><li>What's your Expected Salary?</li></ul>Work Location: In person

Senior AI Engineer

HR Ways

We're hiring an Senior AI/ML Engineer (Karachi - Onsite)Role OverviewThis role is ideal for a Lead Software Engineer with 7+ years of experience in software development, especially in autonomous AI agents and LLM frameworks like LangChain, LangGraph, or AutoGPT, and a track record of leading teams of 5-8 engineers. As we scale our capabilities in AI, ML, CV, LLM applications, and agentic AI systems, you will play a key role in enhancing our delivery processes, optimizing engineering performance, and ensuring technical excellence while leading high-performing teams.What You'll Do:<ul><li>Design and develop Agentic AI applications using LLM frameworks (LangChain, LangGraph, LangSmith, Semantic Kernel, or similar)</li><li>Architect and implement multi-agent systems for enterprise-grade solutions</li><li>Integrate AI agents with APIs, databases, internal tools, and external SaaS products</li><li>Lead and mentor a cross-functional team across global time zones</li><li>Optimize performance, context retention, tool usage, and cost efficiency</li><li>Build reusable pipelines and modules to support GenAI use cases at scale</li><li>Ensure enterprise-grade security, privacy, and compliance standards in deployments</li><li>Collaborate directly with clients and senior stakeholders</li></ul>Required Skills<ul><li>7+ years of professional experience in software engineering and AI/ML</li><li>2-3 years of practical experience in LLM-based application development</li><li>Strong track record of delivering Agentic AI systems (not just chatbots)</li><li>Hands-on experience with:</li><li>LangGraph, LangChain, ReAct, Semantic Kernel</li><li>OpenAI, Claude, Gemini, Mistral, or Llama models</li><li>Worked with any one voice agents such as Elevenlabs, Vapi, LiveKit</li><li>Embedding models, vector databases (Qdrant, Pinecone, Weaviate, etc.)</li><li>Prompt engineering, RAG, memory/context engineering</li><li>Serverless, Python, Node.js, AWS/GCP/Azure cloud</li><li>Experience leading engineering teams of 5-8 people and working with clients</li><li>Excellent communication, documentation, and stakeholder management skills</li></ul>Core Competencies:<ul><li>AI-Enhanced Problem-Solving: Combining human logic with AI assistance for complex challenges</li><li>Attention to Detail: High code quality and precision in AI-assisted implementation</li><li>AI Workflow Integration: Efficiently incorporating AI tools into the development process</li><li>Communication: Clear technical communication and collaboration skills</li><li>Learning Agility: Quick adaptation to new AI tools and development methodologies</li><li>Time Management: Leveraging AI to manage multiple projects efficiently</li></ul>Preferred Qualifications<ul><li>Experience with AI-powered development workflows</li><li>Knowledge of prompt engineering for coding assistance</li><li>Prompt engineering and AI model interaction</li><li>LangChain framework familiarity</li><li>Agentic AI and autonomous system concepts</li><li>FastAPI advanced features (async, dependency injection, middleware)</li><li>Bachelors degree in computer science or equivalent experience</li></ul>What We Offer<ul><li>AI Tools Allowance: Company-provided subscriptions to premium AI coding tools</li><li>Performance Bonuses: performance-based incentives</li><li>Professional Growth: Learning sessions for AI and development</li><li>Compensation: Competitive Salary packages along with additional perks</li><li>Diverse and Innovative Projects: Opportunity to contribute to a variety of forward-thinking projects across industries.</li></ul>Experience: 5-7 yrs of experienceWork Mode: Full Time onsiteWork Days: Mon to FriWork Timings: 12 PM - 9 PMLocation: Gulshan-e-Iqbal, Karachi.Job Type: Full-timeWork Location: In person

Senior AI/ML Engineer

Explore 534+ Senior stack engineer in Karachi this February. Find roles across top companies and apply now to boost your career.