{"id":1541713,"url":"https://alion.io/job/bernard-agent-platform-engineer-voice","title":"Agent Platform Engineer, Voice","company":{"id":33958,"name":"Bernard","domain":"bernard.io","url":"https://alion.io/company/bernard","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":86000,"max_usd":174000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":360},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"Twilio","optional":false},{"name":"TypeScript","optional":false},{"name":"Voice Agents","optional":false},{"name":"WebSockets","optional":false}],"status":"live","first_seen_at":"2026-09-30T14:11:27Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-15T08:32:48Z","board_verified":true,"closed_at":null,"days_open":14,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":14},"description":"ABOUT BERNARD\nHalf of all appliance repair visits fail on the first trip: the wrong part, the wrong diagnosis, another week of waiting, and another truck roll. Bernard fixes this at the point of first contact.\nOur AI answers the call, runs the diagnostic, predicts the right parts against live inventory, and sends the technician out with a game plan. We do not just book the job. We solve it before the truck rolls.\nWe are live with enterprise customers, growing fast, and building the operating system for appliance repair from our office in New York City. Every hire touches the product, the customer, and the trajectory of the company.\nTHE ROLE\nYou will lead with Voice while helping build Bernard’s broader agent platform and common brain. Our agents operate across calls, chat, diagnostics, scheduling, and customer systems. They need shared context, instructions, tools, memory, policies, and evaluation infrastructure so that every channel reasons and acts consistently.\nVoice is the most demanding real-time surface for that platform. Every turn requires tight coordination across telephony, speech recognition, models, tools, and speech generation. You will fight for low latency without sacrificing instruction following, natural voice quality, or correct action-taking, while turning what Voice teaches us into reusable capabilities for agents across every channel.\nThis is not a role where you will be pinned into telephony. You will own the Voice domain end to end, including the contact-center infrastructure that routes and escalates calls reliably, and contribute deeply to the architecture and product direction of Bernard’s unified agent platform.\nWHAT YOU’LL OWN\nBuild and operate production voice agents for inbound and outbound customer conversations, while developing shared agent-platform capabilities that also power chat and other workflows.\nImprove instruction following, conversational control, interruption and barge-in handling, turn detection, pacing, pronunciation, and voice quality.\nBuild automated evaluations, simulations, and regression tests for task completion, policy adherence, latency, audio quality, and human handoff.\nDesign and operate Twilio infrastructure, including Programmable Voice, Flex, Studio Flows, routing, queues, transfers, recordings, webhooks, and failover.\nBuild the common brain across channels: shared context, instructions, tools, memory, policies, identity, and action-taking for Voice, Chat, Diagnostics, and future agent surfaces.\nIntegrate agents with scheduling, diagnostics, CRM, and operational systems while handling retries, idempotency, partial failure, and long-running state.\nBuild observability for live conversations: traces, transcripts, audio events, latency budgets, failure classification, and alerts.\nReduce end-to-end and turn-level latency across telephony, speech-to-text, model inference, tool calls, and text-to-speech while preserving response quality.\nPartner with product and customer teams to review real conversations, identify cross-channel failure patterns, and ship rapid improvements.\nHelp shape the architecture and roadmap for Bernard’s unified agent platform, using Voice as the proving ground for capabilities that should generalize across the product.\nYOU SHOULD APPLY IF\nYou have 2+ years of professional software engineering experience.\nYou have shipped production backend, real-time, telephony, or conversational systems.\nYou are strong in TypeScript or Python and can reason clearly about asynchronous state, streaming, distributed failure, and observability.\nYou understand the tradeoffs among latency, instruction following, reliability, and natural conversational behavior.\nYou are excited to start from Voice but think in platform primitives, and you want to build agent systems that work across channels rather than remain confined to one surface.\nYou are comfortable debugging across application code, model behavior, audio pipelines, carrier behavior, and customer configuration.\nYou move quickly, own outcomes, and learn directly from customers and production calls.\nPREFERRED\nExperience with Twilio Programmable Voice, Flex, Studio, TaskRouter, SIP, or contact-center infrastructure.\nExperience with streaming speech-to-text, text-to-speech, VAD, turn detection, interruption handling, or real-time model APIs.\nExperience building LLM agents, shared tool or memory systems, evaluation infrastructure, call simulations, or human-in-the-loop escalation.\nFamiliarity with voice AI agent platforms, carrier networks, WebSockets, or event-driven systems.\nHOW WE WORK\nWe are a small team. Everyone owns their domain end to end. There is no middle management, no committees, and no approval chain. If something needs to happen, you make it happen.\nWe work in person in New York City. We move fast, give direct feedback, and hold each other to a high bar. The pace is startup pace, if that energizes you, you will love it here.","description_format":"text","description_chars":4934,"description_truncated":false,"requirements":{"experience_years_min":2,"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":["AI Agents","Field Service Management Software"],"lifecycle":[{"event":"open","at":"2026-09-30T21:15:26Z"}],"visa":[],"liveness":{"score":60,"band":"ok","label":"Likely open","p_open":1,"p_active":0.797,"p_room":0.75,"age_days":14,"expected_fill_days":17,"reasons":["conf:1","velocity","win:late","comp:junior"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/bernard-agent-platform-engineer-voice","json_url":"https://alion.io/job/bernard-agent-platform-engineer-voice.json","meta":{"generated_at":"2026-10-15T09:25:14Z","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":14116,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"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":33958},"rest":"https://alion.io/mcp/rest/get_company?id=33958"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fbernard-agent-platform-engineer-voice"},{"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%2Fbernard-agent-platform-engineer-voice"},{"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%2Fbernard-agent-platform-engineer-voice"},{"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/bernard-agent-platform-engineer-voice\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fbernard-agent-platform-engineer-voice"}]}