{"id":2213827,"url":"https://alion.io/job/singleinterface-senior-ai-engineer-voice-ai","title":"Senior AI Engineer, Voice AI","company":{"id":3906432,"name":"SingleInterface","domain":"singleinterface.com","url":"https://alion.io/company/singleinterface","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":{"grade":"C","score":57,"open_postings":14,"ghost_share":0.714,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-12T06:55:09Z"}},"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":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Hallucination","optional":false},{"name":"LLM","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Structured Outputs","optional":false},{"name":"TensorFlow","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Voice Agents","optional":false},{"name":"Docker","optional":true},{"name":"Fine-tuning","optional":true},{"name":"Hugging Face","optional":true},{"name":"Kaldi","optional":true},{"name":"Knowledge Distillation","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM Evaluation","optional":true},{"name":"LoRA","optional":true},{"name":"Model Distillation","optional":true},{"name":"PEFT","optional":true},{"name":"Redis","optional":true},{"name":"Transformers","optional":true},{"name":"Whisper","optional":true}],"status":"live","first_seen_at":"2026-10-08T05:10:21Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-13T00:23:26Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":0,"flags":["company_stale"],"days_open":4},"description":"At SingleInterface, we are redefining how multi-location brands connect with customers in an AI-driven digital world. Backed by $30M in funding from PayPal Ventures and Asia Partners, we are scaling our AI Retail Tech Platform to empower businesses with seamless digital presence management, AI-powered customer engagement, online reputation management, and store-level product & service integration. Our data-driven approach helps brands enhance customer experience, gain insights, and drive revenue growth.\nOur Vision\nMaking AI-driven solutions simple & accessible for hyperlocal businesses to manage complex digital marketing needs.\nOur Goal\nFuel growth for 10 million business locations by 2030 through advanced AI-powered frictionless experiences.\nOur Core Values\nCustomer First - We put our customers at the heart of everything we do.\nGetting Things Done - Speed and execution define our approach.\nBeing Authentic - We stay true to our people and mission.\nBeing Finicky - We obsess over the details that matter.\nBeing Techurious - We challenge the status quo with tech-driven solutions.\nAbout the Role\nWe are hiring a Senior AI Engineer, Voice AI to build state-of-the-art voice AI systems for real-world customer conversations. The ideal candidate has deep experience across speech and language layers, including ASR, dualization, multilingual voice pipelines, LLM prompting and optimization, summarization, extraction, and low-latency production deployment.\nThis is not a pure integration role. We are looking for someone who can operate close to the model and systems layer, make strong architectural trade-offs, and build reliable conversational AI under real-world constraints such as noisy telephony audio, multilingual users, interruptions, latency sensitivity, and business-critical workflows.\nYou will work on production voice agents and conversational intelligence systems that power customer interactions at scale, across live conversations, post-call analytics, and automation workflows.\nKey Responsibilities\nDesign, build, and improve real-time Voice AI systems for customer conversations.\nDevelop and optimize systems across the voice stack, including:Automatic speech recognition (ASR)\nSpeaker diarization\nVoice activity detection (VAD)\nlanguage identification\nLLM reasoning and orchestration\nresponse generation\ntext-to-speech (TTS)\ninterruption handling and turn-taking\n\nBuild low-latency, production-grade inference pipelines for live voice interactions.\nImprove multilingual and code-switched conversational performance for real-world telephony environments.\nDesign prompt workflows, structured outputs, tool usage, and fallback logic to improve accuracy, control, and resolution rates.\nBuild and refine systems for:summarization\ninformation extraction\nclassification\nsentiment and emotion analysis\ncall dispositioning\ntopic and intent detection\nquality monitoring\n\nDefine and implement evaluation frameworks for conversational quality, latency, hallucination, containment, task completion, extraction accuracy, and business outcomes.\nFine-tune and optimize LLMs and speech models for domain-specific performance where needed.\nWork closely with product, engineering, and operations teams to translate ambiguous business problems into scalable AI systems.\nTroubleshoot production failures across speech, orchestration, and model behaviour, and drive measurable improvements.\nRequired Qualifications\n5+ years of experience in AI/ML/NLP, with strong hands-on experience in Voice AI, Speech AI, or Conversational AI.\nProven experience building or improving production voice systems used in real customer interactions.\nStrong understanding of the speech pipeline, including one or more of:ASR\ndiarization\nVAD\nlanguage identification\nTTS\ntelephony audio handling\n\nStrong experience with LLMs in production, including prompting, orchestration, evaluation, summarization, extraction, or agent workflows.\nStrong programming skills in Python and experience with frameworks such as PyTorch, TensorFlow, or similar.\nExperience with model serving, inference optimization, and production performance tuning.\nStrong grasp of system design trade-offs across latency, quality, reliability, and cost.\nAbility to work hands-on across experimentation, shipping, debugging, and iterative improvement.\nPreferred Qualifications\nExperience working in contact center AI, conversational analytics, or enterprise customer interaction products.\n Experience with multilingual speech systems, especially for Indian or other non-English language environments.\nFamiliarity with tools, frameworks, or models such as:Whisper\nKaldi\nHugging Face\nstreaming ASR pipelines\nneural TTS systems\n\nExperience with:prompt optimization\nfine-tuning\nPEFT / LoRA\ndistillation\nevaluation harnesses\nstructured generation\n\nExperience designing systems for:call summarization\nQA automation\ncompliance monitoring\nagent assist\nsentiment/emotion detection\nconversation intelligence\n\nFamiliarity with production infrastructure such as Docker, Kubernetes, Redis, message queues, observability tooling, and scalable API services","description_format":"text","description_chars":5094,"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":[{"language":"English","level":"All 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