Senior QA Automation Engineer – AI Platforms (Agentic AI)

? Hyderabad, India | Full-Time | On-site / Hybrid

? Experience: 4–6 Years

About Us

We are building category-defining Healthcare AI products across Voice AI, Conversational AI, Agentic AI, and Multimodal LLMs that help healthcare organizations automate workflows, improve patient experiences, and reduce operational overhead.

Our engineering culture is AI-native. We use tools like Claude Code, Cursor, Gemini, Codex, and Windsurf as force multipliers to build products faster and better.

Role Overview

Architect scalable test automation and quality infrastructure for Interactly's real-time AI agents, healthcare workflows, and voice systems. Ideal for engineers who leverage AI tools daily and believe in AI-assisted software testing and quality engineering, with the experience to set technical direction for the team.

Key Responsibilities

- Framework Architecture: Design and build scalable, custom Python-based automation frameworks from scratch to handle end-to-end voice assistant workflows.

- AI/ML Validation Strategy: Establish methodologies for testing AI/LLM behaviors, including evaluating Word Error Rate (WER), semantic accuracy, hallucinations, and multi-turn conversation context retention.

- Performance & Scale: Lead the design of infrastructure to simulate thousands of concurrent voice sessions to test system latency, audio degradation, and infrastructure bottlenecks.





- Tooling & Innovation: Create internal tools or mocks to simulate microphone inputs, network jitter, and telephony interfaces (e.g., VoIP/SIP/WebRTC).

- Technical Leadership: Set the technical direction for the SDET team, establish code review standards, and mentor SDET I/II engineers.

- Required Qualifications

- Experience: 5+ years of experience in software test architecture, development, or automation leadership.

- Expert Python: Expert-level Python skills with deep knowledge of concurrency, async programming (asyncio), and framework design.

- Voice/Telecom Domain: Deep understanding of audio streaming protocols, codecs, and WebSockets/gRPC.

- Cloud & Infrastructure: Solid experience with cloud platforms and container orchestration .

- CI/CD & DevOps: Proven track record of designing complex CI/CD workflows and managing automated test infrastructure at scale.

Why does this opportunity stand out?

- Build infrastructure and products powering real-world healthcare AI

- Work with AI-native engineering teams using cutting-edge tools (Claude Code, Cursor, Copilot)

- Mission-driven impact — improve patient outcomes and save thousands of staff hours

- High ownership, rapid learning, and significant career upside

- Global collaboration across India and the US

- Seed-stage growth — scale from Seed to Series A alongside the team.

📌 SDET - II (Hyderabad)
🏢 Recruitingbond
📍 Hyderabad