{"id":2611681,"url":"https://alion.io/job/alldus-agent-platform-engineer-voice","title":"Agent Platform Engineer, Voice","company":{"id":1044164,"name":"Alldus","domain":"alldus.com","url":"https://alion.io/company/alldus","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"E","score":33,"open_postings":111,"ghost_share":0.811,"stale_share":0.027,"repost_share":0.856,"time_to_fill_p50_days":65,"computed_at":"2026-10-16T05:45:00Z"}},"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":{"min":160000,"max":210000,"currency":"USD","period":"year","gross":null,"usd_annual":210000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Python","optional":false},{"name":"Speech Recognition","optional":false},{"name":"Twilio","optional":false},{"name":"TypeScript","optional":false},{"name":"Voice Agents","optional":false},{"name":"LLM","optional":true},{"name":"Text-to-Speech","optional":true}],"status":"live","first_seen_at":"2026-10-14T00:00:00Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T07:16:12Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Our client, an early-stage AI Startup, is hiring an Agent Platform Engineer to join their team in New York City. The successful candidate will lead the development of production voice agents, create reliable, natural customer interactions and build shared tools, memory and infrastructure to support agents across the wider platform.\nResponsibilities\nDevelop and maintain production voice agents that handle inbound and outbound customer interactions.\n\nRefine conversational performance, including instruction adherence, turn-taking, interruptions, pacing, pronunciation and audio quality.\n\nOptimize response times across telephony, speech recognition, model processing, tool execution and speech generation while preserving accuracy and reliability.\n\nBuild and manage infrastructure for call routing, queues, transfers, recordings, webhooks and failover.\n\nCreate reusable agent capabilities for shared context, instructions, tools, memory, policies, identity and action execution.\n\nConnect agents with scheduling, diagnostic, CRM and operational platforms, ensuring reliable handling of retries, partial failures and ongoing workflows.\n\nDevelop automated evaluations, simulations and regression tests to assess task completion, policy compliance, latency, audio quality and escalation to human teams.\n\nEstablish monitoring and diagnostics using conversation traces, transcripts, audio events, failure analysis and alerts.\n\nWork closely with product and customer teams to assess real conversations, identify issues and implement improvements.\n\nHelp define the architecture and development roadmap for the company's unified agent platform.\n\nSkillset\nAt least 2 years of experience in professional software engineering.\n\nA track record of building and deploying backend, real-time, telephony or conversational systems in production.\n\nStrong coding ability in TypeScript or Python.\n\nSound knowledge of asynchronous processing, streaming, distributed systems and observability.\n\nThe ability to balance low latency with reliable execution, instruction adherence and natural conversation.\n\nConfident debugging skills across application code, model responses, audio pipelines and customer configurations.\n\nAn interest in developing reusable agent functionality that works across different channels.\n\nA proactive mindset, clear communication skills and the ability to take ownership in a fast-paced startup.\n\nExperience with Twilio, SIP or contact-centre infrastructure is desirable.\n\nFamiliarity with LLM agents, streaming speech recognition, text-to-speech, real-time model APIs, evaluation frameworks or human handoff workflows.\n\nBenefits\nSalary: $160k - 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