Quash is a SaaS tool that helps companies streamline and speed up their software testing process. It helps testers report bugs quickly, and assists developers in resolving them.

<h2>About Quash</h2><p>Quash is an AI-powered QA automation leader, committed to eliminating flaky mobile-app releases. Through intelligent automation, it scopes out testing requirements, defines test cases, writes automation scripts and executes them. We are constantly building new features and shipping them to our users, scaling the product to cater to both large enterprises and individual developers. We focus on providing the top-notch developer experience, and are very fast-paced with our iterations.</p><p>As a team, we are obsessed with two things - our users, and AI.</p><p><br></p><h2>Role Overview</h2><p>Think mini–chief-of-staff meets growth hacker. One day you’ll automate outbound with GPT scripts; the next you’ll sprint across town to collect event merch, vet a food vendor, or screen the next engineering hire. If it unblocks the founders, it’s your project.</p><p><br></p><h2>Key Responsibilities</h2><ul><li><strong>AI-Powered Growth:</strong> Spin up lead lists, craft LLM-tested email sequences, build LinkedIn carousels.</li><li><strong>Ops &amp; Vendor Management:</strong> Confirm print jobs, chase invoices, negotiate with venue &amp; catering partners for meet-ups.</li><li><strong>People &amp; Hiring:</strong> Draft JDs, run first-round calls, coordinate interviews, keep the ATS clean.</li><li>Market &amp; Competitive Intel: Map the mobile-QA space, price models, and AI tooling shifts; present insights weekly.</li><li><strong>Automation &amp; Reporting:</strong> Stitch HubSpot ↔ Sheets ↔ Slack via Zapier/Apps Script; deliver funnel dashboards.</li><li><strong>Everything Else:</strong> Investor research decks, sprint retro notes, travel logistics—whatever keeps velocity high.</li></ul><p><br></p><h2>Required Qualifications</h2><ul><li>Side-project or campus-leadership track record that screams bias-for-action.</li><li>Comfort with data (basic SQL, pivot tables) and with on-the-ground hustle.</li><li>Writing that converts—can jump from technical explainer to punchy DM.</li><li>Curiosity about dev-tools, mobile QA, and how AI is reshaping software teams.</li></ul><p><br></p><h2>Preferred Qualifications</h2><ul><li>Experience running community or paid campaigns for a tech product.</li><li>Exposure to GitHub, Postman, or any developer workflow (even hobby-level).</li></ul><p><br></p><h2>Working Environment</h2><p>Fast, messy, metric-driven. You’ll sit next to founders, juggle IC work and ad-hoc ops, and see impact in days—not quarters.</p><p><br></p><h2>To Apply</h2><p>Email a one-page experiment or ops win (goal → action → result) to prakhar@quashbugs.com</p><p><br></p>

<h3><strong>About the Role</strong></h3><p>We're looking for a hands-on&nbsp;Applied AI Engineer&nbsp;who lives and breathes LLMs. This isn’t a research role — you’ll be solving real-world problems, shipping features, and building production-ready systems that make our agent smarter every week.</p><p><br></p><h3><strong>What You’ll Do</strong></h3><ul><li>Build LLM-powered systems: prompt chains, retrieval pipelines, eval frameworks</li><li>Work across the stack from prototypes to production</li><li>Own components like test generation, code summarization, context pruning, etc.</li><li>Keep up with the latest in AI research, RAG, fine-tuning, and evals — and use them</li><li>Work closely with founders and engineers to shape the direction of our product</li></ul><p><br></p><h3><strong>You’ll Thrive Here If</strong></h3><ul><li>You’ve shipped LLM-based features or side projects before</li><li>You’ve worked with RAG, fine-tuning, or synthetic data generation</li><li>You’re comfortable reading papers and implementing them fast</li><li>You care about clean engineering, not just demos</li><li>You want to build a 0-to-1 product that people actually use</li></ul><p><br></p><h3><strong>Tech Stack</strong></h3><p>Python, Typescript, LangChain, OpenAI, Claude, Pinecone/Chroma, Postgres, AWS</p><p><br></p><h3><strong>Perks</strong></h3><ul><li>Competitive salary and generous equity</li><li>High ownership, no bureaucracy</li><li>Work with founders and core team closely</li><li>Fast shipping, real customers, and a big vision</li></ul>

<p><strong>Company Overview</strong></p><p>Quash is a dynamic startup revolutionizing the software testing process by offering a comprehensive tool that facilitates quicker bug reporting and resolution. Headquartered in Bengaluru, Karnataka, Quash specializes in the Software Development industry, aiming to enhance efficiency for testers and developers alike.</p><p><br></p><p><strong>Job Overview</strong></p><p>We are seeking a talented Mid-Level Applied AI Engineer to join our team in Bengaluru on a full-time basis. As an Applied AI Engineer at Quash, you will leverage your expertise in AI and related technologies to innovate and enhance our software testing solutions. You will play a vital role in integrating AI components into our products, ensuring robust performance and user experience.</p><p><br></p><p><strong>Qualifications and Skills</strong></p><ul><li>Proficiency in Python programming language, enabling the development of efficient and robust AI models and applications.</li><li>Experience with FastAPI to design and implement high-performance HTTP APIs that are integral to our cloud-based services.</li><li>Knowledge of Autogen, CrewAI and A2A frameworks to build agentic flows.</li><li>Familiarity with retrieval-augmented generation (RAG), allowing for the implementation of advanced data retrieval techniques in AI solutions.</li><li>Understanding of cached-augmented generation (CAG) to enhance contextual data representation and output generation in AI models.</li><li>Deep understanding of Artificial Intelligence and its application in real-world problem-solving within the software development space.</li><li>Experience with large language models (LLM) and their deployment in AI-driven applications to improve software development processes.</li><li>Strong problem-solving skills, with the ability to analyze complex challenges and devise innovative AI-driven solutions.</li></ul><p><br></p><p><strong>Roles and Responsibilities</strong></p><ul><li>Develop and implement AI algorithms and models to enhance software testing tools and reduce bug resolution times.</li><li>Collaborate with cross-functional teams to understand requirements and integrate AI capabilities with existing software systems.</li><li>Design and build scalable applications using FastAPI, ensuring optimal performance and user experience.</li><li>Utilize retrieval-augmented generation techniques to improve data accuracy and efficiency in bug reporting processes.</li><li>Conduct research to identify new AI technologies and methodologies suitable for our product offerings.</li><li>Perform code reviews and provide technical guidance to ensure high-quality software development practices across the team.</li><li>Monitor and evaluate the performance of AI systems, adapting models as necessary to meet evolving business requirements.</li><li>Document AI processes, methodologies, and frameworks to facilitate knowledge sharing and continuous improvement within the team.</li></ul>