---
title: 'Automation QA Engineer at Smallest'
canonical: 'https://feeny.ai/job/automation-qa-engineer-smallest-bengaluru-3akazvrq545b'
type: 'job'
last_seen: '2026-09-04'
---

# Automation QA Engineer at Smallest 

- **Company:** Smallest 
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-07-03
- **Last confirmed live:** 2026-09-04
- **Apply:** https://jobs.ashbyhq.com/smallest/41abc8aa-1f14-4bf2-93b5-9cd55d220886

## Job description

## AUTOMATION QA ENGINEER

Location: Bangalore

ABOUT SMALLEST.AI http://smallest.ai

smallest.ai http://smallest.ai is building next-generation AI infrastructure and voice technology to power intelligent products at scale. We work across speech, LLMs, and real-time AI systems, building tools developers and businesses rely on.

We're looking for an Automation QA Engineer to build and own our backend automation test suite. You'll work closely with engineers to ensure our APIs, services, and end-to-end workflows are reliable, scalable, and production-ready.

## WHAT YOU’LL DO

- Build and maintain a scalable end-to-end automation test suite for backend services
- Automate API and integration testing across multiple services
- Validate business logic, data flow, and end-to-end workflows
- Identify edge cases, regressions, and failure scenarios
- Integrate automated tests into CI/CD pipelines
- Investigate test failures and work with engineers to resolve issues

Improve test coverage, automation frameworks, and QA processes

## What We’re Looking For

- Strong understanding of software testing fundamentals, STLC, and SDLC
- Experience with manual testing across UI and APIs
- Ability to design clear test scenarios and test cases
- Strong analytical thinking and attention to detail
- Ability to think through real user behavior and product flows
- Good communication and collaboration skills

WHY JOIN SMALLEST.AI http://smallest.ai

- Build the automation foundation for cutting-edge AI products
- Work on large-scale backend systems and real-time AI infrastructure
- Be part of a high-ownership engineering culture
- Help teams ship faster with confidence through reliable automation

If you're passionate about building robust backend automation and ensuring product quality at scale, we'd love to hear from you.

## About Smallest 

## Company Overview
- **One-liner**: Smallest.ai builds compact, high-performance voice and multi-modal AI models for real-time voice agent orchestration.
- **Entity Type**: Private (Seed stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2023
- **Founders**: Akshat Mandloi (Co-Founder); other founders not publicly disclosed.

## Core Business
- **Primary industry/industries**: Voice AI, Artificial Intelligence, Multi-modal AI, Enterprise AI Infrastructure.
- **Target customers**: B2B – enterprises, developers, and platform teams building voice agents for healthcare, debt collection, real estate, e-commerce, and small businesses.
- **Mission or purpose statement**: “Driving the future of small, efficient multi-modal models.” The company believes AI will evolve like human intelligence – many small specialized models rather than one massive model.

## Products & Services
- **Text-to-Speech (TTS) – Lightning**: Blazing-fast TTS for real-time voice agents with 100ms latency, supporting 15+ languages.
- **Speech-to-Text (STT) – Pulse**: High-accuracy transcription in 38 languages with emotion and speaker detection.
- **Speech-to-Speech (S2S)**: One of the first native speech-to-speech models built for production.
- **Small Language Model (SLM)**: A sub-3B parameter language model that outperforms GPT-4.1 on key benchmarks.
- **Voice Cloning**: Real-time voice cloning capability integrated into the platform.
- **Agent Platform – Hydra**: A unified interface to configure voice agents, select voices, set languages, and go live. Supports on‑prem and private cloud deployments.
- **Enterprise Compliance**: SOC 2 Type II, GDPR, HIPAA, and PCI compliant.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company).
- **Key Metric – Total Funding**: $9 million (Seed round $8M led by Sierra Ventures in Sept 2025; Pre-Seed and Non-Equity Assistance from AWS).
- **Notable Investors/Partners**: Sierra Ventures (lead), Amazon Web Services (AWS), Ashish Kakran (Seed investor and board member).
- **Growth Signals**:
  - 64 employees (as of mid‑2026); 3.1% monthly headcount growth.
  - 32,960 LinkedIn followers; active hiring with 4 open positions.
  - Presence in the US, India, and Canada; 46% of workforce in India, 27% in the US.
  - SOC 2/GDPR/HIPAA/PCI compliance enables adoption in regulated industries.

## Competitive Advantages
- **Efficiency vs. Size**: Sub-3B SLM outperforms GPT-4.1, enabling lower cost and faster inference without sacrificing quality.
- **Ultra‑Low Latency**: Real-time voice with 100ms end‑to‑end latency for TTS.
- **Multi‑Modal Native**: First‑to‑market native speech‑to‑speech model alongside SLM, STT, and TTS.
- **Enterprise‑Grade Security**: On‑premise and private cloud deployment with full compliance certifications (SOC 2, HIPAA, GDPR, PCI).
- **Single‑Platform Orchestration**: Hydra agent platform unifies model selection, voice config, language, and deployment.

## Strategic Focus
- Scale adoption of voice AI across regulated verticals (healthcare, financial services, debt collection).
- Continue R&D on smaller, more efficient models that can run on‑premise.
- Grow enterprise sales and expand partnerships (e.g., AWS).
- Build out the agent orchestration layer to reduce integration friction for developers.

## Why Work Here
- **Engineering Culture**: Small research lab with a focus on bleeding‑edge model efficiency; strong emphasis on shipping production‑grade systems.
- **Remote/Hybrid Policy**: Not explicitly stated; offices in San Francisco, India, and Canada, suggesting a hybrid or flexible approach.
- **Notable Perks**: Opportunity to work on frontier AI models from scratch, influence product direction, and deploy at scale. Access to enterprise‑grade infrastructure and compliance frameworks.
- **Team Composition**: 20% technical, 9% research, with founders deeply involved; talent sourced from top tech firms (Qualcomm, Meesho, Observe.AI).

## Sources
1. [smallest.ai](https://smallest.ai/)
2. [LinkedIn – smallest.ai](https://www.linkedin.com/company/smallest)
3. [Jobs.ashbyhq.com – Smallest](https://jobs.ashbyhq.com/smallest)
4. [PitchBook – smallest.ai profile](https://pitchbook.com/profiles/company/596572-75)
5. [Tracxn – smallest.ai profile](https://tracxn.com/d/companies/smallestai/__M_bkNG86V8a7CnAiGLw2oCkEQHuMuRhd0YAMsTbEeGU)

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