{"id":4202729,"url":"https://alion.io/job/tequity-voice-ai-engineer","title":"voice AI Engineer","company":{"id":4540127,"name":"Tequity","domain":"tequity.tech","url":"https://alion.io/company/tequity","size_band":"51-200","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["India"],"countries":["IN"],"hiring_countries":["IN"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Go","optional":false},{"name":"LiveKit","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"Node JS","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Voice Agents","optional":false},{"name":"WebRTC","optional":false},{"name":"HIPAA","optional":true},{"name":"JavaScript","optional":true},{"name":"NLP","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-11-12T22:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-12T22:35:00Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"Responsibilities: \nOwn the real-time interpretation pipeline end-to-end, including turn detection, streaming speech recognition, context-aware translation, and streaming speech synthesis, delivering subsecond performance in healthcare environments.\nDevelop and extend our Python voice agents, including audio routing and session lifecycle management for multi-party, multilingual conversations.\nIntegrate and deploy AI/ML models in collaboration with the ML team, from third-party speech and language providers to our own fine-tuned models.\nBuild intuitive, responsive UIs using React / Next.js and modern web frameworks.\nDesign and optimise streaming workflows, including audio ingestion, parsing, and processing for subsecond performance.\nBuild and maintain APIs, webhooks, event pipelines, and data models that drive real-time communication and interaction.\nDevelop backend services and APIs in Go supporting session management, configuration, and secure data flows for the voice pipeline.\nImplement best-in-class security and compliance practices for sensitive medical audio and text data.\nContribute to DevOps and platform engineering, including CI/CD automation, monitoring, logging, and system reliability.\nCollaborate closely with product, design partners, and clinical advisors to ship safe, reliable, production-grade tools for healthcare environments.\n\nRequirements: \n5+ years of experience as a software, full-stack, or machine learning engineer, including experience shipping AI-powered features to production.\nStrong experience with real-time voice or conversational AI systems, including streaming speech recognition and synthesis, voice activity and turn detection, LLM orchestration, and low-latency processing.\nStrong proficiency in Python, including asynchronous programming, and experience building production voice agents with LiveKit, Pipecat, or a comparable real-time framework.\nProficiency in Go, or strong experience in another backend language and a willingness to work in Go.\nExperience with React, Node.js, and modern API/web application architecture.\nHands-on experience with API design, audio processing, event-driven and streaming architectures, and WebRTC or telephony media.\nExperience integrating and evaluating LLMs and speech models in production, including prompt design, provider selection, fallbacks, evaluation, and cost and latency trade-offs.\nProficiency with AWS, containerised services, and infrastructure-as-code.\nStrong grasp of security, privacy, and the handling of sensitive data in production systems.\nStartup-ready mindset: proactive, fast-moving, comfortable with ambiguity, excited to own problems end-to-end.\n\nNice to Have: \nHealthcare experience or familiarity with clinical workflows, EHR systems, or regulated environments.\nExperience with voice AI, ML ops, or building model-driven real-time products.\nBackground in NLP, speech recognition, speech synthesis, or audio signal processing.\nDeep knowledge of cloud security, privacy, compliance, or enterprise-grade architectures (HIPAA, SOC 2, etc. ).\nExperience scaling data-intensive pipelines or working with multilingual speech datasets.\nSpeak a language other than English.\nSkills\nAWS, Conversational AI, Golang, LiveKit, Next.js, Pipecat, Python, React, WebRTC, voice AI, voice Agent*","description_format":"text","description_chars":3296,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-11-12T22:35:00Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring 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