{"id":3677541,"url":"https://alion.io/job/moveworks-staff-machine-learning-engineer-voice-ai","title":"Staff Machine Learning Engineer - voice AI","company":{"id":840,"name":"Moveworks","domain":"moveworks.com","url":"https://alion.io/company/moveworks","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Claude Code","optional":false},{"name":"Cursor","optional":false},{"name":"Go","optional":false},{"name":"Java","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"WebRTC","optional":false},{"name":"Windsurf","optional":false}],"status":"live","first_seen_at":"2026-11-03T11:35:00Z","employer_posted_date":null,"last_verified_at":"2026-11-03T11:35:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":6},"description":"You will play a major part in building AI and Machine Learning (ML) solutions that transform the user experience and workflow efficiency of enterprise services. Traditional analytical tools tend to require a technically knowledgeable user to produce even simple results. We are taking a completely fresh approach with the expectation that anyuser, regardless of technical knowledge, can use the AI/ML solutions we develop to operate the services in the enterprise setting in a thoughtful and scalable manner. We are just getting started with our early-adopter customers, and we need your help in building and making available an amazing range of solutions to our 5k+ enterprise customers around the world.\n\nResponsibilities: \nContribute to the design, development and implementation of the core Voice Platform (Audio Acquisition, Conversation Management, Speech Generation, integration with API and self-hosted Voice AI models, Voice Harness).\nPartner with product managers to work with customers, understand their use cases and technology challenges, and build for their success.\nBuild and deploy large Voice AI distributed systems at scale spanning multiple regions and data centres.\nBuild high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc. )\nContribute to the continuous improvement of the SRE practice by turning operational use cases into requirements for software tooling.\nBe a mentor for colleagues and help promote knowledge-sharing across Voice AI engineering disciplines.\n\nRequirements: \nExperience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.\nThis may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.\n8+ year of relevant industry experience.\nHands-on experience building distributed Voice AI systems at a large operational scale.\n~4+ years building LLM-based applications (integrating models, not training).\n6+ years of development experience with Python, Golang, Java, or similar languages.\n2+ years of experience building agents (prompt engineering) and developing LLM-based experiences.\nWorking experience operating highly available distributed workloads on Kubernetes following a DevOps approach.\nExperience building software for compliance and security in regulated environments is considered an asset.\nA proven track record of architecting and shipping distributed Voice AI or voice platform systems (real-time audio, STT/TTS, telephony or WebRTC) at large operational scale.\nCritically thinking around AI integrations for work processes, decision-making, or problem-solving.\nThis may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.\nExperience building with AI tools such as Claude Code, Cursor, and Windsurf.\nSkills\nGo, Golang, Java, Kubernetes, Python, STT, TTS, Telephony, WebRTC, voice AI","description_format":"text","description_chars":3098,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial 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