Full Stack Engineer (Onsite, Lahore, USD Salary)

HR POD - Hiring Talent Globally; Lahore; On-site; PKR 892,800 - 1,339,200; Full time

Job summary

HR POD - Hiring Talent Globally is looking for a web developer in Lahore, Pakistan, with over 3 years of experience in building web applications across both backend and frontend.

The successful candidate will work extensively with Python and Django, as well as React to develop end-to-end features. Familiarity with LLMs, Google Ads, and DevOps practices on GCP is essential for this role. Join a dynamic environment where your contribution will have a significant impact.

Qualifications

• 3+ years of experience building production-grade web applications with backend and frontend skills.
• Strong proficiency in Python with experience in Django and RESTful API design.
• Solid experience with React and modern build tools like Vite.

Responsibilities

• Build end-to-end features in Django and React.
• Integrate LLM-driven workflows using LangGraph.
• Develop integrations with Google Ads and Meta Ads.

Skills

Python

Django

React

RESTful APIs

SQL

DevOps

GCP

TypeScript

Cloudflare

Job description

Requirements

• 3+ years of experience building production‑grade web applications across both backend and frontend.
• Strong proficiency in Python, preferably with Django (or a comparable framework), and experience designing RESTful APIs.
• Solid experience with React, including component‑based architecture, state management, and modern build tools such as Vite.
• Hands‑on experience with agentic AI and LLMs, including model APIs, prompt engineering, orchestration frameworks (e.g., LangGraph, LangChain, or similar), and tool calling or MCP.
• Experience with DevOps practices on a major cloud platform, including containerized deployments, managed databases, secrets management, and CI/CD pipelines.
• Experience with GCP (Cloud Run and Cloud SQL) is a strong plus.
• Strong SQL skills and a solid understanding of data modeling, particularly with PostgreSQL.
• An ownership mindset, with the ability to thrive in an early‑stage environment with shifting priorities and high impact.
• Experience working with the advertising and marketing data ecosystem, including Google Ads, Meta Ads, and GA4.
• Familiarity with the Model Context Protocol (MCP) and tool‑augmented AI agents.
• Experience with TypeScript, Cloudflare, observability tools (e.g., Datadog), or background task systems.
• Experience working on a multi‑tenant B2B SaaS product.

Responsibilities

• Build end‑to‑end features by designing Django models and APIs, then bringing them to life in the React/Vite frontend.
• Work on our agent layer by integrating and orchestrating LLM‑driven workflows with LangGraph, while connecting tools and data sources through MCP.
• Develop and maintain integrations with Google Ads, Meta Ads, GA4, and Search Console, including OAuth flows and API quota management.
• Own deployments on GCP by shipping services to Cloud Run, managing Cloud SQL and secrets, and ensuring a reliable deployment pipeline.
• Improve system performance and reliability by profiling bottlenecks, optimizing databases and connection pooling, and hardening the platform as it scales.
• Collaborate with the product team to turn ambiguous requirements into shipped features and participate in code reviews.