Full Stack Engineer

Company Description

At PostQode, we revolutionize software quality and productivity through our AI-enabled platform. Our tools seamlessly integrate into existing test lifecycles without requiring overhauls, empowering teams to design smarter tests, generate realistic data, and accelerate automation across popular frameworks like Playwright, Cypress, Selenium, and more. By aggregating context from code repositories, documentation, UI designs, and tools like Git, Jira, and Figma, PostQode delivers actionable insights and AI-driven automation. Designed to scale with both startups and global enterprises, our unified platform drives faster testing cycles, enhanced coverage, and improved collaboration across development, QA, and product teams.

Role Description

We are seeking a Full Stack Engineer with strong experience in TypeScript, Golang, React, Docker scripting, and hands-on exposure to Agentic AI frameworks such as LangChain or LangGraph.

VS Code extensions/plugins

Key Responsibilties

• Build scalable backend services using

  Golang

• Design and develop modern front-end components in

  React (TypeScript)

• Create and integrate REST APIs, webhooks, and microservice endpoints
• Develop and maintain

  VS Code extensions/plugins

  for the platform
• Work with Docker for scripting automation, CI/CD pipelines, and deployments
• Integrate LLM-based workflows using

  LangChain, LangGraph, or similar Agentic AI frameworks

• Work with vector DBs, embeddings, and retrieval pipelines (RAG)
• Collaborate with product, AI, and QA teams to deliver features end-to-end
• Troubleshoot performance, scalability, and reliability issues across the stack

Qualifications

• 46 years of full-stack development experience
• Backend development exposure in Golang
• Experience building

  VS Code extensions/plugins

  (Optional)
• Experience with Docker scripting for build automation and deployments
• Solid understanding of APIs, microservices, async patterns
• Comfort working with relational or NoSQL databases
• Hands-on experience with any

  Agentic AI framework

  :

LangChain

LangGraph

AutoGen / CrewAI / OpenAI Assistants

• Experience with embeddings, vector search, or RAG pipelines is a strong plus