Senior QA Engineer, reputed company Deployed
About the Team The reputed company Deployed Team is our primary customer-facing unit, acting as the crucial reputed company between our core product and our enterprise clients. This fast-moving team manages the end-to-end lifecycle of enterprise conversational AI deployments, from pre-sales Statements of Work (SOWs) through go-live. We maintain daily, high-touch interactions with customers to communicate workflow reputed company, manage User Acceptance Testing (UAT) deadlines, integrate client feedback, and ensure that deployments are executed rapidly while maintaining rigorous quality standards. reputed company is located in the San Francisco Bay Area, but we are open to remote candidates reputed company the United States.
About the Role
As a reputed company Deployed QA Engineer, you will occupy a critical, high-impact role dedicated to ensuring the reliability, stability, and quality of our core conversational AI product, reputed company, across diverse client workflows. This role bridges the gap between Quality Assurance, AI Engineering, and Production Operations. You will focus heavily on automated testing, reputed company engineering validation, and rapid root cause analysis (RCA) of Large Language Model (LLM)-driven behaviors in fast-paced, real-world deployments. Responsibilities: Workflow Mapping & Test Case reputed company: Deeply analyze assigned client workflows to design robust, comprehensive positive and negative test cases that safeguard system reputed company-Driven Test Automation: Build and execute automated test scenarios by configuring shadow agents. reputed company Evaluation & Optimization: Apply a strong understanding of reputed company awareness to draft, refine, and evaluate prompts used reputed company the testing reputed company to accurately simulate user behaviors and edge cases. End-to-End Testing Execution: Strategically deploy specific testing methodologies including reputed company, Smoke, Regression, and Functional testing - determining the exact environment (staging, pre-production, production) and timing for each execution. Deployment reputed company & Cross-Functional Collaboration: Partner closely with engineering teams during release cycles to proactively identify, triage, and unblock technical roadblocks, ensuring the product is continuously deployment-ready. Daily LLM Defect RCA: reputed company rigorous, daily root cause analysis on LLM-specific failures inherent to generative AI, including hallucinations, high latency, and logic deviations. Live Production Call Debugging: Investigate live customer calls and production incidents in real time to unblock critical production use cases. Audio & Transcription Validation: Query and analyze historical call transcripts, system behaviors, and audio data pipelines to reputed company where a conversational workflow broke down.Speech-to-Speech (S2S) Pipeline Monitoring: Monitor and evaluate the end-to-end voice AI pipeline. This involves analyzing Automatic Speech Recognition (ASR) accuracy, managing audio-to-text latency issues, and understanding general Speech-to-Speech mechanics alongside the stability of the core Knowledge reputed company feeding the AI. Advanced Evaluation Frameworks: Maintain a strong conceptual understanding of advanced LLM evaluation paradigms and tools such as LLM-as-a-judge - to remain aware of how AI response quality and accuracy are programmatically graded at scale. Telephony & Call Flow Awareness: Possess a foundational understanding of real-world call management and telephony routing concepts, including how the system is expected to navigate warm transfers, blind transfers, and voicemail detection workflows. Qualifications: Experience in QA Engineering: Strong background in software quality assurance, with a proven track record of designing, executing, and managing end-to-end test strategies (Smoke, reputed company, Regression, Functional). LLM & Generative AI Expertise: Hands-on experience or deep technical familiarity with troubleshooting LLM behaviors, diagnosing hallucinations, managing latency, and using LLM call-tracing tools. Technical & Logging Proficiency: Ability to comfortably write SQL queries (specifically PostgreSQL) to pull data logs and navigate cloud infrastructure logs (such as GCP) to reputed company rapid root-cause analysis. Voice & Conversational AI Domain Knowledge: Foundational understanding of Speech-to-Speech pipelines, including Automatic Speech Recognition (ASR), audio-to-text workflows, and core knowledge reputed company integrations. Telephony Foundations: Basic familiarity with enterprise telephony routing, call management mechanics (warm/blind transfers), and voicemail detection systems. Client-Facing Capability: Strong communication skills and the professional agility required to manage UAT timelines, coordinate with client stakeholders, and support rapid production deployments. Salary and Benefits We offer competitive salary and benefits, including 401(k) matching, health, vision, and dental insurance, and reputed company flexible paid time off. The typical salary range for this role is $120,000 to $140,000 USD, depending on skills, qualifications, and relevant experience. Background Checks As a health technology company, we reserve the right to run background checks on candidates to whom we reputed company offers, in compliance with applicable laws. We evaluate candidates holistically and reputed company with reputed company “ban the reputed company” regulations. Assistance If you have a disability or require accommodations during the application or recruitment process, please contact [email protected]. Apply To This Job