Qapitol jobs, judged for you, free

What they do

Qapitol is a quality engineering company. It sells AI assurance: it finds the AI systems a company runs, tests them for accuracy and safety, adds controls, and writes the evidence a risk owner needs for approval. It also offers QAVE Studio, a tool that tests chatbots, voice bots, and agents. Clients include Swiggy, Flipkart, CRED, Myntra, and HDFC Bank.

What they value

• Own the outcome: a result a client can show a board or regulator, not a task list.
• Document what is real: write down what runs and what you found, with no claims without basis.
• Small teams, real leverage: senior people go deep on hard problems.
• Independence: the team that built an AI system should not sign it off.

Where they hire

Six of the seven Postings are in Bengaluru and one is in Hyderabad. The company has offices in Bengaluru, Hyderabad, Gurugram, and Dubai. Two QA Postings say on site. The forward deployed engineer role is hybrid in Bengaluru, and remote work is considered. No Posting mentions visa sponsorship.

Teams and roles

The board has seven Postings.

• Quality engineering: four roles. A manual QA engineer tests web, API, database, and AI features. A QA automation engineer tests web, API, and mobile. An AI QA engineer tests AI-driven SaaS products. An AI conversational engineer tests chat and voice AI.
• Engineering: a full stack Java developer, a senior DevOps engineer, and a forward deployed engineer who works inside client systems.

The careers page names the work the company draws on most: quality engineering, AI and ML evaluation, compliance and risk, and platform engineering.

What they look for

Every Posting asks for at least 3 years of experience. Most ask for 3 to 5 years, the DevOps role 5 to 7, and the forward deployed engineer 3 to 8. Six of the seven ask for coding or scripting, in Java, Python, JavaScript, or similar. The four QA roles cover functional and regression testing, and three of them ask for API testing. Four Postings ask for or prefer some knowledge of AI or large language models (LLMs). Two QA roles ask you to spot hallucinations, which are confident but wrong AI answers. The automation role asks for Selenium, Playwright, or Cypress. The DevOps role asks for Kubernetes, Docker, and Terraform.