Full Stack Engineer (Onsite, Lahore, USD Salary)

Pakistan·Lahoremid

EngineeringFullstack Developer

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Quick Summary

Key Responsibilities

Build end-to-end features by designing Django models and APIs, then bringing them to life in the React/Vite frontend.

Requirements Summary

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),

Technical Tools

EngineeringFullstack Developer

Requirements

~1 min read

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

~1 min read

→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.