
Full-Stack Engineer
5 days ago
We're looking for **two talented Full-Stack Engineers** to join our growing AI & SaaS development team in **Lahore**.
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**
**1.5+ 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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