{"id":3387294,"url":"https://alion.io/job/qode-senior-ai-engineer-voice-systems","title":"Senior AI Engineer (Voice Systems)","company":{"id":7099,"name":"Qode","domain":"qode.world","url":"https://alion.io/company/qode-world","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":80,"open_postings":5,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-11-03T05:54:40Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hanoi, Vietnam","Ho Chi Minh City, Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":52000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2365},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Fine-tuning","optional":false},{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"Model Distillation","optional":false},{"name":"ONNX Runtime","optional":false},{"name":"Quantization","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"TorchServe","optional":false},{"name":"Triton","optional":false},{"name":"Whisper","optional":false},{"name":"Docker","optional":true},{"name":"Hugging Face","optional":true},{"name":"MLFlow","optional":true},{"name":"NLP","optional":true},{"name":"NVIDIA NeMo","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"TensorFlow","optional":true},{"name":"Transformers","optional":true},{"name":"Weights & Biases","optional":true}],"status":"live","first_seen_at":"2026-10-28T08:15:56Z","employer_posted_date":"2026-10-28","last_verified_at":"2026-11-04T05:30:11Z","board_verified":true,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Senior AI Exprt - Voice Bot Systems\n· Work Location: \no Hanoi: TechnoPark Tower, Vinhomes Ocean Park, Hanoi\no Hochiminh: Vincom Dong Khoi, HCM\nJob overview\nWe are looking for an AI Expert to join our team as the technical anchor for next-generation real-time voice bot systems. While our Software Engineers focus on integration and infrastructure, this role owns the intelligence layer - designing, training, evaluating, and optimizing the AI models that make voice interactions actually work: from acoustic understanding to natural speech synthesis, speaker identification, and language comprehension in noisy, real-world conditions.\nThe ideal candidate has built voice AI systems in production - not just integrated APIs, but understood what's happening inside them and made deliberate choices about model architecture, training data, evaluation methodology, and latency trade-offs. You will work directly with Software Engineers to move models from research into production and with product stakeholders to define what \"good\" means for a voice bot.\nKey Responsibilities:\nVoice AI Research & Development\nDesign and develop end-to-end voice pipelines: ASR → NLU → dialogue management → TTS, with full understanding of the trade-offs at each stage\nResearch, evaluate, and fine-tune models for Vietnamese-language voice tasks: ASR accuracy on domain-specific vocabulary (vehicle names, locations, plate numbers), TTS naturalness, speaker diarization in multi-party calls\nBuild and maintain evaluation frameworks for voice AI quality: Word Error Rate (WER), Real-Time Factor (RTF), MOS scoring, speaker turn accuracy, end-to-end latency benchmarks\nModel Fine-tuning & Training\nFine-tune ASR models (Whisper, Gipformer, wav2vec 2.0) on domain-specific and accent-specific Vietnamese data\nFine-tune TTS models (F5-TTS, VoxCPM2, VITS) to produce natural, brand-consistent voice output for CSKH scenarios\nBuild and curate training datasets: audio collection pipelines, annotation tooling, data quality validation\nApply speaker diarization and voice activity detection (VAD) to segment and attribute multi-speaker call audio\nLLM & NLU Integration\nDesign prompt strategies and context management for LLM-driven dialogue in voice-specific constraints (no markdown, short sentences, natural prosody cues)\nDevelop intent classification, entity extraction, and slot-filling components tuned for spoken Vietnamese, including noisy transcripts from imperfect ASR\nEvaluate and mitigate hallucination in voice LLM pipelines, including ASR-grounded prompting and transcript correction techniques\nProduction & Optimization\nOptimize inference latency for real-time constraints: quantization, batching, streaming inference, model distillation\nDesign and run A/B experiments on model variants in production; define statistical evaluation criteria for voice quality metrics\nCollaborate with Software Engineers on model serving architecture (GPU inference servers, ONNX runtime, TorchServe, Triton)\nBuild monitoring pipelines for model performance drift, ASR degradation, and TTS quality regression in production\nQualifications:\nEducation\nBachelor's or Master's degree in Computer Science, Electrical Engineering, Applied Mathematics, Linguistics, or a directly related field. PhD is a plus for research-heavy responsibilities.\nHands-on voice AI experience (required)\n3-5+ years of hands-on experience building and deploying voice AI systems - not just integrating cloud APIs, but working with the models themselves\nDemonstrated experience with at least two of: ASR fine-tuning, TTS model training, speaker diarization, VAD, voice conversion, or acoustic modeling\nPrior production experience with real-time voice pipelines where latency, reliability, and audio quality were hard constraints\nDeep learning & NLP foundations\nSolid understanding of sequence modeling (Transformer, CTC, RNN), attention mechanisms, and how they apply to speech and language tasks\nFamiliarity with acoustic features (MFCCs, mel spectrograms, filterbanks) and audio signal processing fundamentals\nExperience with speech-specific deep learning frameworks: ESPnet, SpeechBrain, NeMo, Hugging Face transformers + datasets for audio\nEngineering skills\nStrong Python; comfortable with PyTorch or TensorFlow for model development and fine-tuning\nAbility to write production-quality code, not just research scripts: modular, testable, observable\nExperience with ML experiment tracking (MLflow, W&B), model versioning, and reproducibility practices\nFamiliarity with Docker and GPU infrastructure for model serving\nEvaluation mindset\nKnows that a model is only as good as its evaluation - can design rigorous offline and online evaluation protocols for voice AI\nExperience with human evaluation studies (MOS, MUSHRA, preference tests) and automated proxies\n________________________________________\nNice to Have\nExperience with multilingual or low-resource language ASR/TTS, especially Vietnamese\nFamiliarity with speaker diarization systems (pyannote, NeMo MSDD) applied to call center audio\nKnowledge of telephony audio constraints: G.711 µ-law/a-law codecs, 8kHz narrowband limitations, packet loss concealment\nExperience with streaming ASR (chunk-based inference, endpointing) for real-time applications\nContributions to open-source speech/NLP projects or published research in voice AI\nWhat This Role Is Not\nThis is not an API integration role. We need someone who understands what happens inside the model, not just how to call it.\nThis is not a pure research role. Models need to ship into production voice systems with real latency and reliability requirements.\nThis is not a data annotation role. You will design the data strategy and evaluation criteria - others will execute annotation at scale.\nWhat We Offer\nOwnership of the AI layer in a production voice system serving real customers\nDirect collaboration with Software Engineers, DevOps, and product teams - short feedback loops between research and production\nAccess to real call audio data for training and evaluation (with appropriate privacy controls)\nCompetitive compensation with equity","description_format":"text","description_chars":6101,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"Vietnamese","level":"All levels","optional":false}]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-28T08:15:56Z"}],"visa":[],"liveness":{"score":50,"band":"ok","label":"Likely open","p_open":1,"p_active":0.534,"p_room":0.945,"age_days":5,"expected_fill_days":14,"reasons":["conf:4","agency","velocity","win:mid"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/qode-senior-ai-engineer-voice-systems","json_url":"https://alion.io/job/qode-senior-ai-engineer-voice-systems.json","meta":{"generated_at":"2026-11-04T06:36:50Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":10305,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-05T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7099},"rest":"https://alion.io/mcp/rest/get_company?id=7099"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fqode-senior-ai-engineer-voice-systems"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fqode-senior-ai-engineer-voice-systems"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fqode-senior-ai-engineer-voice-systems"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/qode-senior-ai-engineer-voice-systems\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fqode-senior-ai-engineer-voice-systems"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3387294}},{"tool":"search_jobs","arguments":{"company":"qode.world","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3387294},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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