{"id":3703451,"url":"https://alion.io/job/pocket-fm-ai-audio-systems-engineer","title":"AI Audio Systems Engineer","company":{"id":1964893,"name":"Pocket FM","domain":"pocketfm.com","url":"https://alion.io/company/pocketfm","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Function Calling","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"JUCE","optional":false},{"name":"LLM","optional":false},{"name":"Lua","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Structured Outputs","optional":false},{"name":"Text-to-Speech","optional":false},{"name":"TypeScript","optional":false},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-11-03T17:32:00Z","employer_posted_date":null,"last_verified_at":"2026-11-03T17:32:00Z","board_verified":false,"closed_at":null,"days_open":5,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":5},"description":"About Pocket FM\nPocket FM is the world's leading Gen AI-native audio entertainment platform. We recently crossed $400M ARR, scaling our second $200M in just 12 months by rebuilding the storytelling stack around AI.\n\nWith 250M+ listeners and 80,000+ hours of content produced monthly, we aren't just automating stories, we're supercharging them. We provide creators with the high-velocity iteration tools once reserved for engineers, enabling global, data-aware storytelling that hits harder and travels faster.\n\nAbout the role\nThe AI Audio Systems Engineer will build the technology that enables the Sound team to work faster, more consistently, and at greater scale.\nThis role combines audio software engineering, digital signal processing, audio plugin development, music technology, AI automation, and workflow systems. You will work closely with Sound specialists to understand production challenges and turn them into reliable tools, intelligent workflows, and scalable audio\nsystems.\nThis is not a show post-production role. You will not be responsible for editing or mixing episodes as your primary function. Your focus will be on building the systems, tools, models, plugins, and automation that support dialogue processing, mixing, analysis, spatial audio, quality control, and future Sound workflows.\n\nWhat you will build\nAudio software, DSP systems, plugins, DAW extensions, and internal tools for Sound production.\nAutomated workflows for dialogue analysis, cleanup, processing, mixing, mastering, rendering, and quality control.\nAI-assisted systems that can analyse audio, identify problems, recommend processing, and support human decision-making.\nLLM-powered tools that help Sound teams search, diagnose, configure, document, and operate audio workflows.\nEvaluation systems that measure intelligibility, artefacts, loudness, consistency, processing time, and overall production quality.\nSpatial audio and immersive audio workflows where they add value to the listener experience.\nReusable infrastructure that allows Sound tools to move from prototype to reliable production systems.\n\nCore responsibilities\n1. Audio software and DSP\nDesign and develop audio processing systems for dialogue, music, ambience, effects, mixing, and mastering.\nWork with digital signal processing concepts such as filters, dynamics, noise reduction, loudness, phase, latency, resampling, and real-time audio.\nBuild reliable audio pipelines for both real-time and offline processing.\nUnderstand how audio moves through DAWs, plugins, buses, routing, automation, monitoring, and delivery systems.\n\n2. Plugin and music technology development\nBuild, integrate, and maintain audio plugins, DAW extensions, scripts, and production utilities.\nWork with technologies such as C++, JUCE, Python, JavaScript or TypeScript, Lua, Max, or equivalent tools.\nDevelop interfaces that allow Sound specialists to use complex processing without unnecessary technical friction.\nCreate reusable components, presets, templates, APIs, and systems that support multiple Sound workflows.\n\n3. AI audio and machine learning integration\nIntegrate AI capabilities such as speech enhancement, source separation, diarization, transcription, voice activity detection, voice conversion, text to speech, and audio classification.\nEvaluate AI models and services for quality, latency, cost, reliability, and suitability for production use.\nDesign human-in-the-loop workflows where AI accelerates repetitive work while Sound specialists retain creative and editorial control.\nBuild test datasets, benchmarks, and evaluation processes for AI-assisted audio tools.\n\n4. LLM and workflow automation\nUse LLMs as an interaction and orchestration layer around audio tools, models, metadata, and production systems.\nBuild tools that can interpret Sound requests, recommend workflows, generate configurations, explain processing decisions, or trigger approved audio operations.\nExplore agentic workflows, tool calling, structured outputs, retrieval systems, and workflow automation where they improve Sound operations.\nConnect AI systems to DAWs, audio-processing services, asset pipelines, databases, APIs, and internal tools.\nDesign guardrails, validation steps, permissions, logging, and human approval points for AI-driven workflows.\n\n5. Sound platform and infrastructure\nWork with Sound specialists to identify production bottlenecks and convert them into clear technical requirements.\nBuild modular systems that can be reused across dialogue processing, mixing, mastering, spatial audio, and quality control.\nSupport batch processing, queues, cloud or local rendering, asset management, versioning, monitoring, and reproducible execution.\nDocument system behaviour, signal flow, configuration, known limitations, and recovery procedures.\nHelp move successful prototypes into stable tools that teams can use and maintain.\n\nWhat success looks like\nSound teams can access faster and more reliable tools without needing to understand the underlying engineering.\nDialogue and audio analysis workflows become more consistent, measurable, and easier to scale.\nAI systems reduce repetitive work while preserving audio quality and human judgement.\nPrototypes become dependable tools rather than isolated experiments.\nPlugins, workflows, and models are documented, evaluated, versioned, and maintainable.\nThe Sound team has a growing technology foundation for future audio production.\n\nRequired experience\nProfessional experience in audio software engineering, DSP, plugin development, music technology, audio tools, or a related field.\nStrong programming experience in one or more relevant languages such as C++, Python, JavaScript, TypeScript, or Lua.\nPractical understanding of audio signal flow, DAWs, plugins, routing, gain staging, latency, phase, dynamics, and digital audio fundamentals.\nExperience building software used by creative, media, music, audio, or production teams.\nExperience integrating APIs, AI models, machine learning services, or automated processing systems.\nAbility to understand Sound-team needs and translate them into useful technical systems.\nStrong debugging, documentation, testing, and problem-solving skills.\n\nPreferred experience\nAudio plugin development using JUCE, VST3, AU, AAX, or equivalent technologies.\nExperience with DSP, real-time audio, embedded audio, audio middleware, or media-processing systems.\nExperience with speech, voice, or audio AI.\nExperience building LLM-powered tools, agents, tool-calling workflows, RAG systems, or automation platforms.\nExperience with cloud infrastructure, containers, queues, APIs, databases, observability, or media pipelines.\nExperience with spatial audio, binaural processing, ambisonics, object-based audio, or immersive formats.\nExperience designing audio evaluation datasets, benchmarks, regression tests, or quality-control systems.\n\nWhat we are looking for\nWe are looking for someone who can move comfortably between audio engineering, software development, AI systems, and the practical needs of an Audio Post Production team.\n\nYou should be curious about new technologies, strong enough in audio to recognise what good sounds like, and practical enough to build tools that work in real production environments.\nYou do not need to be an expert in every area listed above. Strong fundamentals, good judgement, and evidence of building useful systems matter most.\n\nPortfolio or application evidence\nPlease include examples of:\nAudio plugins, DSP systems, DAW tools, scripts, or audio software you have built.\nAI, automation, LLM, or workflow systems you have developed or integrated.\nAudio-processing tools or systems that improved speed, quality, consistency, or scale.\nA short explanation of the problem, technical approach, evaluation method, and result.","description_format":"text","description_chars":7789,"description_truncated":false,"requirements":{"experience_years_min":null,"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":["Podcasting","Streaming & OTT Platforms"],"lifecycle":[{"event":"open","at":"2026-11-03T20:09:30Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":4,"expected_fill_days":28,"reasons":["seen:4","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/pocket-fm-ai-audio-systems-engineer","json_url":"https://alion.io/job/pocket-fm-ai-audio-systems-engineer.json","meta":{"generated_at":"2026-11-08T22:29:54Z","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":47001,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":1964893},"rest":"https://alion.io/mcp/rest/get_company?id=1964893"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpocket-fm-ai-audio-systems-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fpocket-fm-ai-audio-systems-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fpocket-fm-ai-audio-systems-engineer"},{"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/pocket-fm-ai-audio-systems-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpocket-fm-ai-audio-systems-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3703451}},{"tool":"search_jobs","arguments":{"company":"pocketfm.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3703451},"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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