Full-Stack Engineer

2 days ago

Lahore, Punjab, Pakistan MARKETlytics Full time 600,000 - 1,200,000 per year

About the Role

We're looking for two talented Full-Stack Engineers having 2- 3 years of experience in Python or

You'll work on advanced AI-powered products, integrating
OpenAI
APIs, building web scrapers, and developing
LangChain
/
LangGraph
pipelines that power real-world automation tools.

This is an on-premises role (no remote work) ideal for engineers who enjoy working across or Python back-ends and modern front-end stacks.

Key Responsibilities

  • Build and maintain scalable full-stack applications (front-end + back-end).
  • Integrate and optimize
    OpenAI
    ,
    Anthropic
    , and similar LLM APIs for production use.
  • Design and maintain data ingestion pipelines using scraping frameworks (Playwright, Puppeteer, BeautifulSoup, etc.).
  • Implement LangChain or
    LangGraph
    based workflows for AI reasoning, retrieval, and automation.
  • Collaborate with UI/UX designers to create smooth, responsive, and high-performance front-end experiences.
  • Develop and maintain RESTful APIs, webhooks, and real-time data flows.
  • Optimize performance, debug production issues, and ensure reliable deployment to cloud environments (e.g., GCP/AWS).

Requirements

  • 2+ years of professional experience as a Full-Stack or Back-End Developer.
  • Strong proficiency in or Python (Express / FastAPI / Flask).
  • Familiarity with / / Vue or any modern front-end framework.
  • Hands-on experience using OpenAI APIs (ChatGPT, GPT-4, function calling, etc.).
  • Experience in web scraping with Playwright, Puppeteer, or BeautifulSoup.
  • Knowledge of LangChain, LangGraph, or similar frameworks for LLM orchestration (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 / vector databases (e.g., Pinecone, Weaviate, FAISS).
  • Experience with serverless architecture (Cloud Run, AWS Lambda, etc.).
  • Basic understanding of cost tracking / token optimization / 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 & engineers in real production environments.
  • Be part of an innovative, fast-moving startup culture that values creativity and ownership.

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