Full-Stack Engineer AI Automation @ MARKETlytics
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Job Details
About the Role
We are seeking two talented Full-Stack Engineers to join our growing AI & SaaS development team in Lahore. In this role, you will work on advanced AI-powered products, integrating OpenAI APIs, building web scrapers, and developing LangChain/LangGraph pipelines for real-world automation tools. This position is on-premises and ideal for engineers experienced in Node.js or Python back-ends and modern front-end frameworks.
Key Responsibilities
- Build and maintain scalable full-stack applications.
- Integrate and optimize OpenAI, Anthropic, and similar LLM APIs.
- Design and maintain data ingestion pipelines using scraping frameworks such as Playwright, Puppeteer, and BeautifulSoup.
- Implement LangChain or LangGraph based workflows for AI reasoning and automation.
- Collaborate with UI/UX designers for smooth, responsive front-end experiences.
- Develop and maintain RESTful APIs, webhooks, and real-time data flows.
- Optimize performance, debug issues, and ensure reliable deployment to cloud environments like GCP/AWS.
Requirements
- Minimum 1.5+ years of experience as a Full-Stack or Back-End Developer.
- Strong proficiency in Node.js or Python (Express, FastAPI, Flask).
- Experience with modern front-end frameworks such as React.js, Next.js, or Vue.
- Hands-on experience with OpenAI APIs (ChatGPT, GPT-4, function calling, etc.).
- Experience in web scraping with Playwright, Puppeteer, or BeautifulSoup.
- Knowledge of LangChain, LangGraph, or similar frameworks is a major plus.
- Solid understanding of REST APIs, asynchronous programming, and data handling.
- Familiarity with SQL/NoSQL databases (MySQL, MongoDB, Redis).
- Experience with Git, Docker, and cloud deployment (bonus: GCP/AWS).
Preferred (Bonus) Skills
- Knowledge of AI agents, RAG pipelines, and vector databases (e.g., Pinecone, Weaviate, FAISS).
- Experience with serverless architecture (Cloud Run, AWS Lambda, etc.).
- Basic understanding of cost tracking, token optimization, and billing integration for AI APIs.
Location & Work Environment
Location: On-site, Lahore, Pakistan
Type: Full-time (On-premises only)
Team: Collaborative AI + SaaS product engineers
Why Join Us
Work on cutting-edge AI tools used globally. Learn directly from experienced founders and engineers in real production environments. Be part of an innovative, fast-moving startup culture that values creativity and ownership.
Key skills/competency
- Node.js
- Python
- OpenAI APIs
- Web Scraping
- LangChain
- REST APIs
- Cloud Deployment
- Data Pipelines
- Full-Stack Development
- Automation
How to Get Hired at MARKETlytics
🎯 Tips for Getting Hired
- Customize Your Resume: Highlight full-stack and AI experience.
- Showcase API Expertise: Detail OpenAI and scraping projects.
- Research MARKETlytics Culture: Understand their mission and products.
- Prepare Technical Questions: Brush up on Node.js, Python, and cloud tools.