Lead SDET/SDET-3 - Automation (Agentic AI) - Hyderabad

Lead SDET/QA Automation Engineer – AI Platforms (Agentic AI)

📍 Hyderabad, India | Full-Time | On-site / Hybrid
📈 Experience: 6–10 Years

The Role

We're looking for a hands-on Lead SDET to define and scale quality engineering across our healthcare AI platform.

This is an80% IC and 20% leadership role, focused on building next-generation testing infrastructure, establishing quality standards, and mentoring engineers.

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: 6+ 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: Strong 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 tea