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ai full stack engineer ai software engineer

Linvex Solutions

Location: LahoreEmployment Type: Full-TimeExperience: 4+ YearsAbout the RoleWe are building a next-generation AI-powered product that integrates Edge AI, Cloud AI, and Mobile Applications. We are seeking a skilled AI Full Stack Engineer who can contribute across backend systems, cloud infrastructure, and AI deployment layers. The ideal candidate will have hands-on experience in developing scalable AI-driven solutions and working in a fast-paced startup environment.Tech Stack (Required)Edge AI (Sensor Layer)<ul><li>C / C++</li><li>TensorFlow Lite</li><li>Experience with edge devices, sensors, or embedded AI is a strong plus</li></ul>Backend Development<ul><li>Python</li><li>FastAPI</li><li>REST APIs and asynchronous services</li></ul>Database &amp; AI Memory<ul><li>PostgreSQL</li><li>Vector Databases (Pinecone preferred)</li><li>Data modeling and performance optimization</li></ul>Mobile Application<ul><li>Flutter or React Native</li><li>API integration and state management</li></ul>Cloud &amp; AI Infrastructure<ul><li>Google Cloud Platform (GCP)</li><li>Vertex AI</li><li>Model deployment and monitoring</li></ul>Key Responsibilities<ul><li>Develop and deploy AI models on edge devices</li><li>Build scalable backend APIs using FastAPI</li><li>Integrate vector databases for AI search and memory</li><li>Deploy and manage AI models on GCP Vertex AI</li><li>Collaborate with mobile development teams for seamless API integration</li><li>Ensure performance, scalability, security, and best engineering practices</li></ul>Required Skills<ul><li>Strong Python and backend development experience</li><li>Hands-on experience with AI/ML model deployment</li><li>Cloud-native development mindset</li><li>Strong problem-solving skills and startup-oriented attitude</li></ul>How to ApplyInterested candidates should submit their resume and relevant portfolio (if available) to:info@linvex.aiJob Type: Full-timeWork Location: In person

AI Full stack engineer/ Ai software Engineer

Binary Brix 

Full-Stack Software Engineer (AI Platforms)Company: Symufolk Location: Onsite &ndash; Lahore, Pakistan Job Type: Full-Time Experience: 4&ndash;6 YearsAbout the RoleSymufolk is building advanced AI-driven platforms that transform real-world data into structured, intelligent systems. As a Full-Stack Software Engineer, you will play a key role in developing scalable web applications that power machine learning workflows, human-in-the-loop systems, and complex data visualization tools.This role is ideal for engineers who enjoy building interactive products at the intersection of AI, data systems, and modern software engineering.Key Responsibilities<ul><li>Design and develop high-quality front-end applications using React and TypeScript.</li><li>Build robust backend services for AI and ML workflows using Python, Node.js, or similar technologies.</li><li>Develop and maintain RESTful and/or GraphQL APIs.</li><li>Integrate third-party tools and services for data processing and annotation.</li><li>Optimize system performance for large datasets and long-running processes.</li><li>Collaborate closely with AI/ML engineers and product teams on feature design and implementation.</li><li>Participate in system architecture discussions and code reviews.</li><li>Ensure reliability, scalability, and maintainability of the platform.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>4&ndash;6 years of professional experience in full-stack software development.</li><li>Strong experience with React and TypeScript.</li><li>Backend development experience using Python, Node.js, or similar.</li><li>Experience building data-heavy or media-heavy applications.</li><li>Solid understanding of RESTful and/or GraphQL APIs.</li><li>Familiarity with modern development workflows and version control systems.</li><li>Strong problem-solving and communication skills.</li><li>Ability to work onsite in a collaborative team environment.</li></ul>Nice to Have (Preferred Skills)<ul><li>Experience with video processing, visualization systems, or streaming pipelines.</li><li>Familiarity with machine learning workflows or annotation tools.</li><li>Experience building internal tools or productivity platforms.</li><li>Interest in AI, robotics, computer vision, or applied ML systems.</li><li>Exposure to cloud platforms and scalable system design.</li></ul>What We Offer<ul><li>Opportunity to work on innovative AI platforms with real-world impact.</li><li>High level of technical ownership and influence on product direction.</li><li>Collaborative, growth-focused engineering culture.</li><li>Competitive compensation and career development opportunities.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthWork Location: In person

Full-Stack Software Engineer (AI Platforms)

Full-Stack Engineer &ndash; Robotics &amp; AICompany: Symufolk Location: Onsite &ndash; Lahore, Pakistan Job Type: Full-Time Experience: 4&ndash;6 YearsAbout the RoleSymufolk is building a next-generation robotics platform that transforms human demonstration videos into structured robotic skills. This platform powers internal tools for video ingestion, annotation workflows, human validation of AI outputs, and structured task mapping.We are seeking a highly skilled Full-Stack Engineer to design and build complex interactive systems that combine machine learning pipelines, human-in-the-loop tooling, and real-world robotics workflows.This role is ideal for engineers who enjoy working on challenging problems at the intersection of AI, data systems, and product engineering.Key Responsibilities<ul><li>Design and implement modern, intuitive front-end interfaces for advanced annotation and validation workflows.</li><li>Build and maintain backend services for ML pipeline orchestration and human review systems.</li><li>Integrate third-party tools such as Label Studio, storage services, and model endpoints.</li><li>Design and develop APIs for structured mapping data, including objects, states, Basic Action Sequences (BAS), and Task Action Sequences (TAS).</li><li>Optimize system performance for large-scale video assets and long-running processing jobs.</li><li>Collaborate closely with ML engineers, robotics engineers, and product teams on system architecture and feature development.</li><li>Ensure code quality through testing, documentation, and code reviews.</li><li>Participate in technical decision-making and continuous improvement of the platform.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field (16 years of formal education).</li><li>4&ndash;6 years of professional experience as a Full-Stack or Software Engineer.</li><li>Strong experience with React and TypeScript for front-end development.</li><li>Backend development experience using Python, Node.js, or similar technologies.</li><li>Proven experience building data-heavy or media-heavy applications.</li><li>Solid understanding of RESTful and/or GraphQL APIs.</li><li>Experience working in fast-paced, prototype-driven or startup environments.</li><li>Strong problem-solving, analytical, and communication skills.</li><li>Ability to work onsite in a collaborative engineering environment.</li></ul>Nice to Have (Preferred Skills)<ul><li>Experience with video pipelines, streaming systems, or visualization tools.</li><li>Familiarity with ML workflows, computer vision, or annotation platforms.</li><li>Experience building internal tools, dashboards, or productivity platforms.</li><li>Interest in robotics, perception systems, or applied AI.</li><li>Knowledge of cloud platforms and scalable system design.</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge robotics and AI products.</li><li>High-impact role with strong technical ownership.</li><li>Collaborative and growth-oriented engineering culture.</li><li>Competitive salary and long-term career growth.</li></ul>Job Type: Full-timePay: Rs300,000.00 - Rs400,000.00 per monthWork Location: In person

Full-Stack Engineer- AI/ML

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

Digixvalley LLC

We are seeking a highly skilled Senior DevOps Engineer with strong experience in SaaS-based software environments. The ideal candidate must have hands-on experience supporting mobile and web applications, along with exposure to AI/ML project deployments. This role focuses strictly on software-based DevOps practices (not networking infrastructure).Key Responsibilities:<ul><li>Design, implement, and maintain CI/CD pipelines for web and mobile applications</li><li>Manage cloud infrastructure (AWS / Azure / GCP) for SaaS-based products</li><li>Deploy, monitor, and scale AI/ML-based applications and services</li><li>Work closely with development teams to streamline release cycles</li><li>Implement containerization using Docker and orchestration via Kubernetes</li><li>Ensure high availability, system reliability, and performance optimization</li><li>Maintain infrastructure as code (IaC) practices (Terraform, CloudFormation, etc.)</li><li>Monitor production systems and implement security best practices</li><li>Troubleshoot deployment and performance issues</li></ul>Job Requirements (JR)Mandatory Requirements:<ul><li>3&ndash;4 years of hands-on DevOps experience</li><li>Minimum 2 years working in a software house environment (SaaS-based products)</li><li>Experience working on mobile and web application deployments</li><li>Hands-on exposure to AI / ML project infrastructure and deployments</li><li>Strong experience with:</li><li>CI/CD tools (GitHub Actions, GitLab CI, Jenkins, etc.)</li><li>Docker &amp; Kubernetes</li><li>Cloud platforms (AWS / Azure / GCP)</li><li>Linux-based systems</li><li>Experience with Infrastructure as Code (Terraform, Ansible, etc.)</li><li>Monitoring tools (Prometheus, Grafana, ELK stack)</li><li>Knowledge of security best practices in cloud environments</li><li>Strong problem-solving and collaboration skills</li></ul>Job Type: Full-timeWork Location: In person

Senior DevOps Engineer

Softpers Interactive

<div>Company Description 
Softpers Interactive is a full service IT Company that synchronizes people, processes, and technology in the smartest way possible. Our global clientele ranges from startups to SMBs to fortune 50 companies and we not only help them grow but also make sure that the implementation of our technology solutions is seamless, pain-free and result driven. 
Job Description 
We are looking for a Software Engineer (Mid-Level) to join our full-stack development team. In this role, you will take ownership of features and modules, contribute to AI-powered applications, and work closely with senior engineers, product teams, and clients to deliver high-quality software solutions across diverse projects.
Key Responsibilities<ul><li>
Design, develop, and maintain scalable full-stack web applications</li><li>
Build and integrate LLM-powered features and AI-assisted workflows into applications</li><li>
Actively work with AI code agents (Copilot, Cursor, Claude, etc.) to enhance productivity and code quality</li><li>
Write clean, efficient, maintainable, and well-documented code</li><li>
Participate in system design discussions, architecture decisions, and code reviews</li><li>
Debug, optimize, and troubleshoot complex issues across the full stack</li><li>
Collaborate with cross-functional teams including QA, product, and design</li><li>
Communicate technical concepts clearly in client meetings and internal discussions</li><li>
Mentor junior developers and contribute to team knowledge sharing</li><li>
Continuously improve development practices, performance, and security standards</li></ul> 

Qualifications 
Technical Skills<ul><li>
Strong proficiency in Python and Node.js for backend development</li><li>
Solid experience with React and Next.js for frontend development</li><li>
Working knowledge of Laravel/PHP (preferred but not mandatory)</li><li>
Hands-on experience with RESTful APIs, third-party integrations, and authentication flows</li><li>
Strong understanding of databases (SQL and/or NoSQL) and ORM frameworks</li><li>
Experience with version control (Git) and collaborative development workflows</li><li>
Familiarity with cloud platforms, deployment pipelines, or containerization (Docker) is a plus</li><li>
Good grasp of software architecture principles, design patterns, and performance optimization</li></ul> 

Experience &amp; Education<ul><li>
Bachelor&rsquo;s degree in Computer Science or a related field from FAST-NUCES or COMSATS University</li><li>
2&ndash;3 years of professional software development experience</li><li>
Experience working on production-level applications and client-facing projects</li><li>
Demonstrated ability to independently handle modules or features end-to-end</li></ul> 

Soft Skills &amp; Communication<ul><li>
Excellent English communication skills (written and verbal)</li><li>
Strong analytical thinking and problem-solving abilities</li><li>
Ability to explain technical concepts to both technical and non-technical stakeholders</li><li>
Proactive mindset with a sense of ownership and accountability</li></ul> 

Additional Information 
What We Offer<ul><li>
Competitive salary 120k-180k
</li><li>Opportunity to work on diverse projects across multiple industries</li><li>
Hands-on exposure to modern tech stacks and AI-driven development</li><li>
A collaborative, growth-oriented environment with strong learning culture</li><li>
Mentorship, career progression, and opportunities to lead initiatives</li><li>
Flexible, innovation-driven workplace that values impact over hierarchy</li></ul>
Timing: 02:00 PM - 11:00 PM</div>

Software Engineer Level II

Xeven Solutions Pvt. Ltd

Role OverviewWe are looking for a proactive AI Backend Engineer with 1&ndash;2 years of experience to join our team. The ideal candidate is someone who lives at the intersection of FastAPI and LangChain, with a passion for building autonomous agents and sophisticated automation workflows.Key ResponsibilitiesAI Integration: Design and deploy production-ready LLM applications using LangChain and LangGraph.Backend Development: Request lifecycle, async concepts, middleware, authentication, caching basics, background tasks/queues (nice to have), performance considerations.Agentic Workflows: Develop and orchestrate AI Agents capable of multi-step reasoning and tool use.Automation: Create complex, self-healing automation pipelines using tools like n8n.Intelligent Scraping: Implement AI-powered web scraping tools (e.g., Firecrawl, Crawl4AI, or custom LLM-based parsers) to gather and structure unstructured data.Data Management: Design and manage relational schemas in PostgreSQL or MySQL, ensuring data integrity for AI-driven features.Prompt Engineering: Prompt structuring, few-shot techniques, evaluation, prompt iteration, and guardrails.API design, authentication, logging, error handling, rate limiting, and monitoring.Technical RequirementsExperience: 1&ndash;2 years in a professional software development environment.Backend Mastery: Strong grasp of core backend concepts (RESTful APIs, Asyncio, Auth, Middleware) and database management.AI Stack: Hands-on experience with LLM orchestration (RAG pipelines, vector databases) and Agentic frameworks.Prompt Engineering: Proven ability to write &quot;system-level&quot; prompts that handle edge cases and maintain personas.Web Scraping: Proficiency in bypassing modern bot detection and using AI to extract structured data from chaotic web pages.Soft Skills &amp; LeadershipEffective Communicator: Able to explain why a certain model or prompt strategy was chosen to non-technical stakeholders.Self-Reliant &amp; Reliable: You take ownership of a feature from &quot;idea&quot; to &quot;deployment&quot; without constant hand-holding.Leadership Mindset: Even with 1&ndash;2 years of experience, you should be ready to mentor interns or lead specific AI initiatives within the team.Documentation: Ability to clearly document API endpoints and AI logic flow.Nice-to-Have SkillsExperience with Docker, CI/CD, or deploying services to cloud platforms (AWS/GCP/Azure).Observability experience: logging/metrics/tracing (e.g., OpenTelemetry, Prometheus, Grafana).Background job processing (Celery/RQ) or message queues (RabbitMQ/Kafka).Experience with vector databases (e.g., pgvector, Pinecone, Weaviate, etc.).Familiarity with frontend integration patterns for chat UIsJob Type: Full-timeWork Location: In person

Python Developer

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