ai-driven full stack developer

ai/ml engineer

azure ai (agentic) specialist - team lead Jobs in Lahore

head of data engineering

lead software engineer (senior) — full-stack mobile & web Jobs in Lahore

senior full stack ai engineer

EDGEC

Company DescriptionAt Edgec.io, we build intelligent digital solutions using Artificial Intelligence, Machine Learning, Cloud Computing, Cybersecurity, Data Analytics, and IoT. We aim to transform ideas into impactful technology products.Job Title: Fresher AI Engineer (Entry Level) Location: Lahore (On-site) Job Type: Full-TimeJob OverviewWe are looking for a motivated Fresher AI Engineer to join our team. This role is ideal for recent graduates who want to start their career in Artificial Intelligence and Machine Learning.You will work under senior engineers and gain hands-on experience in AI model development, NLP, and data processing.Responsibilities<ul><li>Assist in building basic AI/ML models</li><li>Perform data cleaning and preprocessing</li><li>Support NLP and pattern recognition tasks</li><li>Work with Python and AI libraries</li><li>Collaborate with development teams</li><li>Learn and implement AI concepts in real projects</li></ul>Requirements<ul><li>Bachelor&rsquo;s in Computer Science or related field</li><li>Basic understanding of AI/ML concepts</li><li>Knowledge of Python</li><li>Interest in NLP and Neural Networks</li><li>Strong learning mindset and teamwork skills</li></ul>Pay: Rs60,000.00 - Rs120,000.00 per monthEducation:<ul><li>Bachelor's (Preferred)</li></ul>Work Location: In person

AI/ML Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

XISLABS

Business Development Executive 2.5-5 Years Experience | Full-Time | On-site / Hybrid | Lahore, Pakistan.Position Overview:<ul><li>Department: Business Development</li><li>Reports To: CEO / CTO</li><li>Employment Type: Full-Time</li><li>Location: Lahore, Pakistan (On-site / Hybrid)</li><li>Experience Required: 2.5 &ndash; 5 Years</li><li>Salary Range: Market Competitive (based on experience)</li><li>Industry: Software Development &amp; IT Services</li></ul>━━━━━━━━━━━━━━━━━━━━ 1. Core Skills ━━━━━━━━━━━━━━━━━━━━<ul><li>B2B Sales</li><li>Email Marketing</li><li>LinkedIn Outreach</li><li>Google Ads</li><li>Lead Generation</li><li>Sales Funnel Management</li><li>Tech Sales</li></ul>━━━━━━━━━━━━━━━━━━━━ 2. About the Role ━━━━━━━━━━━━━━━━━━━━XISLABS is a fast-growing software development company serving international clients across the US, Canada, Europe &amp; the Middle East.We are hiring a results-driven Business Development Executive with strong expertise in B2B lead generation, email marketing, LinkedIn outreach, Google Ads campaign management, and sales pipeline management.━━━━━━━━━━━━━━━━━━━━ 3. What You Will Own ━━━━━━━━━━━━━━━━━━━━<ul><li>50+ qualified leads/month</li><li>8&ndash;10 discovery calls/week</li><li>30+ active prospects in pipeline</li><li>2 outreach sequences running simultaneously</li><li>2+ Google Ads campaigns (CPL &amp; ROAS tracked)</li><li>2&ndash;3 new project closures/month</li></ul>━━━━━━━━━━━━━━━━━━━━ 4. Key Responsibilities ━━━━━━━━━━━━━━━━━━━━<ul><li>Lead gen via LinkedIn Sales Navigator, Apollo &amp; Clay</li><li>Cold email campaigns with A/B tested sequences</li><li>Google Ads &mdash; Search, Display &amp; Remarketing</li><li>Full sales pipeline management (CRM to closure)</li><li>Discovery calls, proposals &amp; deal closure</li><li>Weekly BD reports to leadership</li></ul>━━━━━━━━━━━━━━━━━━━━ 5. Requirements ━━━━━━━━━━━━━━━━━━━━<ul><li>2.5&ndash;5 years B2B sales/tech sales experience.</li><li>Hands-on Google Ads campaign management.</li><li>Cold email &amp; LinkedIn outreach expertise.</li><li>CRM experience (HubSpot / Apollo / Instantly).</li><li>Strong English communication skills.</li><li>Comfortable with US / EU time shifts.</li></ul>━━━━━━━━━━━━━━━━━━━━ 6. Tools &amp; Tech Stack ━━━━━━━━━━━━━━━━━━━━<ul><li>Outreach: Instantly, Lemlist, Apollo, LinkedIn Sales Navigator</li><li>Paid Ads: Google Ads, Google Analytics, Google Tag Manager</li><li>Data &amp; Enrichment: Clay, , Phantom Buster, Apollo</li><li>CRM: HubSpot, Pipedrive</li><li>Communication: Slack, Google Meet, Zoom</li><li>Reporting: Google Sheets, Notion</li><li>Automation: n8n, Zapier (basic understanding preferred)</li><li>AI Tools: Claude, Chat GPT, Gemini, Perplexity, AI-powered writing and research tools.</li></ul>━━━━━━━━━━━━━━━━━━━━ 7. What We Offer ━━━━━━━━━━━━━━━━━━━━<ul><li>Health Insurance</li><li>EOBI</li><li>Monthly team activities</li><li>Casual, Sick &amp; Annual Paid Leaves</li><li>AI Tools &amp; Full Outreach Tech Stack</li><li>Exposure to International Clients</li><li>Direct Access to CEO &amp; CTO</li><li>Fast-Growing Startup Environment</li></ul>━━━━━━━━━━━━━━━━━━━━ 8. How to Apply ━━━━━━━━━━━━━━━━━━━━&middot; Email: hr@xislabs.com&middot; Subject: BD Executive Application &ndash; [Your Name]&middot; Include: CV + Cover Letter with measurable achievementsJob Type: Full-time<ul><li>Work Location: In person</li></ul>Work Location: In person

Business Development Executive

<div>About the Company 
CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows. We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries. We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.
About the role
We are hiring an Senior AI QA Automation Engineer an experienced quality engineer who owns feature-level test strategy and automation for AI-enabled products. In this role, you will design and maintain automated tests and AI evaluation suites, integrate quality signals into CI/CD pipelines, and partner with Scrum teams to prevent defects and deliver reliable AI capabilities.
Key Responsibilities<ul><li>
Own test strategy and execution for assigned AI features across unit, API, UI, and end-to-end layers, aligned to Definition of Done and release criteria.
</li><li>Create and maintain automated AI evaluation suites (including golden datasets, scoring, and regression baselines) covering key user journeys and failure modes.
</li><li>Validate prompt, retrieval, and orchestration changes using repeatable test harnesses and defined acceptance thresholds.
</li><li>Build and extend automation frameworks, reusable utilities, and improve test stability, speed, and signal-to-noise.
</li><li>Integrate automated tests and AI evaluations into CI/CD, triage pipeline failures, and reduce flaky tests.
</li><li>Partner with engineers to improve testability (contracts, logging, observability) and drive shift-left quality practices.
</li><li>Analyze defects and AI output issues, perform root cause analysis, and implement regression coverage to prevent recurrence.
</li><li>Provide guidance to junior SDETs on automation, test design, and AI validation patterns; communicate quality risks to stakeholders.
</li><li>Support production readiness by validating guardrails, monitoring signals, and performance requirements for AI features.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science/Engineering (or equivalent practical experience).
</li><li>4+ years of experience in SDET / QA automation / quality engineering with strong hands-on automation and test design skills.
</li><li>Proficiency in at least one programming language (e.g., Python, C#, Java) and SQL, with the ability to debug services and tests.
</li><li>Experience building and maintaining automated tests (API/UI and/or data/ETL) and working in CI/CD pipelines.
</li><li>Experience testing AI-enabled systems or demonstrated applied AI fluency (prompt/RAG changes, evaluation basics, common failure modes).
</li><li>Experience working in Agile/Scrum teams and collaborating effectively with Engineering and Product.
</li><li>Preferred: Experience with LLM evaluation techniques (golden sets, rubric-based grading, automated scoring, review workflows).
</li><li>Preferred: Familiarity with AI safety and guardrail testing (grounding, PII handling, injection risks).
</li><li>Preferred: Experience with cloud tooling, containers, observability, and release automation.</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
</li><li>Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
</li><li>Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
</li><li>Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul>
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li><ul><li>
Provident Fund (PF)</li></ul></li><li><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li></ul></li><li><ul><li>
Performance-Based Increment</li></ul></li><li><ul><li>
32 Paid Leaves (Annual)</li></ul></li><li><ul><li>
Easy Loan Facility</li></ul></li><li><ul><li>
Company-Sponsored Trips</li></ul></li><li><ul><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></li></ul></div>

Software Development Engineer in Test

KnowledgeCity

<div>
 DevOps engineers build, test and maintain the infrastructure and tools to allow for the speedy development and release of software. DevOps practices aim to simplify the development process of software and help us improve our operating systems. This role has a strong background in software engineering and will employ DevOps tools and practices to improve the development team's production and guide our hardworking team through the process of designing and writing a dependable codebase. This position also allows to innovate our engineering systems and practices. The role is expected to work in an AI-native way, using AI coding assistants and agents (such as Claude, GitHub Copilot, Cursor, and Antigravity) to accelerate automation, scripting, and troubleshooting.
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Developing, Implementing, and Maintaining DevOps Processes:
 </li>
 <ul>
 <li>
 Establish and optimize DevOps methodologies and standards.
 </li>
 <li>
 Ensure effective collaboration and communication between development
 </li>
 <li>
 and operations teams.
 </li>
 <li>
 Integrate security practices into all DevOps processes.
 </li>
 </ul>
 <li>
 Operational Efficiency:
 </li>
 <ul>
 <li>
 Development, deployment, and maintenance of software products and infrastructure.
 </li>
 <li>
 Achieve and maintain a high level of operational efficiency by automating routine tasks, reducing deployment times, and minimizing downtime, particularly within AWS environments.
 </li>
 <li>
 Leverage AI coding assistants (GitHub Copilot, Cursor, Antigravity, Claude) to speed up scripting, automation, and routine engineering tasks while maintaining quality and security standards.
 </li>
 </ul>
 <li>
 CI/CD Pipeline Management:
 </li>
 <ul>
 <li>
 Design, implement, and maintain robust CI/CD pipelines to automate deployment processes across multiple environments.
 </li>
 <li>
 Apply cloud (AWS) computing skills to deploy upgrades and fixes.
 </li>
 <li>
 Design, develop and implement software integrations.
 </li>
 </ul>
 <li>
 Infrastructure as Code (IaC):
 </li>
 <ul>
 <li>
 Develop and manage infrastructure using tools like Terraform, Ansible, or CloudFormation to ensure scalability, reliability, and security.
 </li>
 <li>
 Troubleshoot production issues and coordinate with the development team to streamline code deployment.
 </li>
 </ul>
 <li>
 Monitoring and Incident Management:
 </li>
 <ul>
 <li>
 Implement and maintain monitoring solutions to ensure system health, performance, reliability, uptime, and security.
 </li>
 <li>
 Lead incident response efforts to quickly resolve production issues.
 </li>
 <li>
 Conduct systems tests for security, performance, and availability.
 </li>
 <li>
 Use AI assistants such as Claude to accelerate log analysis, root-cause investigation, and incident post-mortems.
 </li>
 </ul>
 <li>
 Security Best Practices:
 </li>
 <ul>
 <li>
 Implement security best practices in the CI/CD pipeline and throughout the infrastructure to protect sensitive data and ensure compliance with industry standards.
 </li>
 <li>
 Apply AI-assisted code review to help identify vulnerabilities and harden configurations earlier in the development lifecycle.
 </li>
 </ul>
 <li>
 Continuous Improvement:
 </li>
 <ul>
 <li>
 Identify and implement improvements in processes, tools, and automation to enhance efficiency and reduce manual intervention.
 </li>
 <li>
 Develop and maintain design and troubleshooting documentation.
 </li>
 <li>
 Implement automation tools and framework.
 </li>
 <li>
 Adopt and continuously improve AI-assisted workflows, sharing effective prompts and practices with the team.
 </li>
 </ul>
 <li>
 Collaboration:
 </li>
 <ul>
 <li>
 Work closely with developers, QA, and other stakeholders to streamline the release process, improve code quality, and ensure seamless integration.
 </li>
 <li>
 Collaborate with team members to improve the company's engineering tools, systems and procedures, and data security.
 
 </li>
 </ul>
 </ul>
 
 Qualifications:
 
 
 
 <ul>
 <li>
 Technical Expertise:
 </li>
 <ul>
 <li>
 Strong experience in DevOps tools and technologies particularly in environments that prioritize continuous delivery and automation, with a focus on AWS services and configuration (EC2, RDS, CloudFront, Athena, Lambda, MediaConvert, etc.).
 </li>
 <li>
 Work with a non-managed Kubernetes cluster.
 </li>
 <li>
 Proficiency in programming languages such as Python, PHP, and others relevant to the tech stack.
 </li>
 <li>
 Experience with Databases such as MySql, PostgreSQL, ClickHouse
 </li>
 <li>
 Experience with DevOps tools and platforms such as IaC: Terraform, Ansible, Helm. Git, Docker, Kubernetes, Bitbucket Pipelines and AWS/Oracle (CloudFront, ECS, EKS, EC2, S3, IAM, EFS, WAF, etc). ELK-stack, Prometheus, Grafana.
 </li>
 </ul>
 <li>
 AI Tools &amp; Productivity:
 </li>
 <ul>
 <li>
 Hands-on experience using AI coding assistants and agents to accelerate engineering work &mdash; including GitHub Copilot, Cursor, and Antigravity.
 </li>
 <li>
 Experience with Claude is a significant plus; the ability to use it effectively for code generation, log and incident analysis, documentation, and troubleshooting is highly valued.
 </li>
 <li>
 Sound judgment in applying AI output responsibly &mdash; reviewing, validating, and securing AI-generated code and configurations before use.
 </li>
 </ul>
 <li>
 Problem-Solving:
 </li>
 <ul>
 <li>
 Strong analytical and problem-solving skills with the ability to troubleshoot complex issues in a dynamic environment.
 </li>
 <li>
 Excellent decision-making skills.
 </li>
 </ul>
 <li>
 Communication:
 </li>
 <ul>
 <li>
 Excellent communication skills with the ability to work collaboratively across teams.
 </li>
 <li>
 Advanced English proficiency, both written and spoken, is mandatory for effective communication with partners and clients.
 </li>
 </ul>
 </ul>
</div>

DevOps Engineer

Speechify

<div>Mission

Speechify is the easiest way to listen to the world's information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your desk, on the go, at your own speed, and with tools that make learning easier, deeper, and faster.

What streaming services have done for audio entertainment, we're doing for audio information. And whatever we're doing seems to be working. We're #1 in our category, and experiencing exponential growth.

Overview

We're looking for a Senior Software Engineer to join our Core Experiences Team. This team builds and maintains the foundational services and SDKs that power Speechify's product experience across platforms. It's a critical role for someone who enjoys working at the intersection of product and infrastructure, thinks strategically, and is passionate about designing clear, reliable APIs and simple systems that directly enhance the user experience.

What You'll Do
<ul>
<li>Collaborate with Speechify's Product Teams to scope projects, find ways to reduce scope to get faster feedback from customers, navigate the integration/UX tradeoffs relevant to different product teams, and deliver solutions via our cross-platform SDK</li>
<li>Optimize existing functionality to ship things like faster loading and more intelligent parsing by designing more efficient abstractions and improving our algorithms</li>
<li>Ship cloud functions, lightweight backend services, and jobs using Kotlin</li>
</ul>
An Ideal Candidate Should Have
<ul>
<li>Systems thinking. You know that optimizing a system requires end-to-end design, and you believe simplicity is valuable.</li>
<li>Speed. You work quickly to generate ideas and options and know how to decide which things can ship now and what things need time</li>
<li>Focus. We're a high-growth startup with a busy, remote team. You know how and when to engage or be heads down</li>
<li>Collaboration. You know how to inspire, play, and negotiate with opinionated designers, marketers, and PMs</li>
<li>Preferred Tech Stack:
<ul><li>Kotlin Multiplatform (Java experience is OK but role is Kotlin Multiplatform)</li>
<li>Prior experience with GCP is a plus</li>
</ul>
</li></ul>What We Offer
<ul><li>A fast-growing environment where you can help shape the company and product.</li>
<li>An entrepreneurial-minded team that supports risk, intuition, and hustle.</li>
<li>A hands-off management approach so you can focus and do your best work.</li>
<li>An opportunity to make a big impact in a transformative industry.</li>
<li>Competitive salaries, a friendly and laid-back atmosphere, and a commitment to building a great asynchronous culture.</li>
<li>Opportunity to work on a life-changing product that millions of people use.</li>
<li>Build products that directly impact and support people with learning differences like dyslexia, ADD, low vision, concussions, autism, and more.</li>
<li>Work in one of the fastest growing sectors of tech, the intersection of artificial intelligence and audio.</li>
</ul>
Think you're a good fit for this job?

Tell us more about yourself and why you're interested in the role when you apply.
 
And don't forget to include links to your portfolio and LinkedIn.

Not looking but know someone who would make a great fit?

Refer them!

Speechify is committed to a diverse and inclusive workplace.

Speechify does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.</div>

Senior Software Engineer, Core Experiences - Lahore, Pakistan

AutoScale Ventures

<div>Position: Software Developer 
Location: Remote (Pakistan) 
Job Type: Full-time 
Work Schedule: 9:00 AM&ndash;5:00 PM Pacific Standard Time, Monday&ndash;Friday (Overnight shift for Pakistan-based candidates) 
Salary: 400,000 PKR/month
Role Overview
We are seeking a motivated and career-driven Software Developer with at least 3 years of professional experience to join our growing team. 
This role is ideal for a developer with strong experience in both front-end and back-end development, and who enjoys working on real-world, production-grade systems. You will help build and scale customer-facing websites and dashboards, internal tools and systems, as well as data-driven and infrastructure products connected to large-scale crawling, APIs, and infrastructure.
Key Responsibilities<ul><li>
Develop and maintain robust back-end services using Python/Node</li><li>
Build and maintain front-end components using React</li><li>
Integrate with APIs, crawlers, and data ingestion pipelines</li><li>
Optimize front-end and back-end systems for performance, reliability, and maintainability</li><li>
Collaborate with cross-functional teams across time zones</li><li>
Support and improve live production systems with a focus on uptime and data accuracy</li><li>
Participate in code reviews, system design discussions, and feature planning</li><li>
Explore opportunities to integrate AI-driven features and data automation</li></ul>
Requirements<ul><li>
Minimum 3+ years of professional full-stack development experience</li><li>
Strong proficiency in React, including component design, state management, responsive layouts, and performance optimization</li><li>
Good understanding of UI/UX principles, including visual hierarchy, spacing, typography, accessibility, and user-centered design</li><li>
Experience with modern CSS frameworks (Tailwind, Sass, Styled Components, Material UI, Chakra UI, etc.)</li><li>
Back-end development skills using Python (Flask/FastAPI/Django) or Node.js (Express/NestJS) to build APIs, integrations, and support front-end features</li><li>
Strong proficiency in either Python or JavaScript</li><li>
Solid understanding of Linux environments, SQL databases (PostgreSQL/MySQL), and back-end system design</li><li>
Ability to collaborate closely with product managers, designers, and back-end engineers</li><li>
Ability to independently handle end-to-end features (UI, API integration, testing, deployment)</li><li>
Experience contributing to complex or large-scale systems</li><li>
Familiarity with web crawlers, scraping tools, or data ingestion pipelines</li></ul>
Nice to Have (Plus Points)<ul><li>
Hands-on experience with enterprise-level or high-scale crawling systems</li><li>
Interest or prior work in AI/ML-driven solutions</li><li>
Solid foundation in statistics, mathematics, or machine learning</li><li>
Previous experience in startups or fast-paced technology companies</li><li>
Mentorship or leadership experience with junior developers</li><li>
Contributions to open-source or personal technical projects</li></ul>
What You'll Work On (Early Projects May Include)<ul><li>
Building and improving front-end dashboards, websites, and platforms for data-heavy applications</li><li>
Developing systems connected to: Vehicle history &amp; market data (VinAudit.com), large-scale crawling &amp; scraping infrastructure, Data center and residential proxies (SquidProxies.com)</li><li>
Enhancing internal tools for: Data operations, Infrastructure monitoring, Market intelligence</li><li>
Collaborating with engineering and product teams to improve performance, reliability, and scalability</li><li>
Exploring AI/ML-powered features and private model integrations for internal and customer-facing products</li></ul>
Benefits &amp; Perks<ul><li>
Fully Remote Work: Work from anywhere with reliable internet</li><li>
Healthcare Coverage for you and your family</li><li>
Paid Leave &amp; Holidays, with time to rest and recharge</li><li>
Equipment Funds Support to help set up or upgrade your home office</li><li>
Profit Sharing: Monthly and annual bonuses tied to performance</li><li>
Long-Term Career Growth in a stable and growing company</li><li>
Collaborative Culture with a global distributed team</li></ul>
About Us
AutoScale Ventures is a technology-driven company with 50+ team members across the Philippines, Pakistan, India, the U.S., China, and Canada. We operate a group of businesses spanning tech, data services, infrastructure, and AI, with some of our main products and ventures around:<ul><li>
Vehicledata (VinAudit.com)</li><li>
Proxy infrastructure solutions (SquidProxies.com)</li></ul>
Only shortlisted candidates will be contacted. We look forward to meeting the right person for this role!</div>

Software Developer

Explore 200+ Senior full stack ai engineer in Lahore this July. Find roles across top companies and apply now to boost your career.