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.

A key expectation is the ability to build and maintain VS Code extensions / plugins as part of our developer tooling ecosystem.

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

4–6 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