{"id":4341253,"url":"https://alion.io/job/clera-software-engineer-voice-ai-backend-4","title":"Software Engineer, Voice AI / Backend","company":{"id":2706,"name":"Clera","domain":"getclera.com","url":"https://alion.io/company/clera","size_band":"11-50","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":80,"open_postings":40,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":6,"computed_at":"2026-11-15T07:52:55Z"}},"role":"AI/ML","role_family":"AI/ML","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":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":85000,"max":160000,"currency":"EUR","period":"year","gross":null,"usd_annual":176462},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":true,"relocation_package":true,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"FastAPI","optional":false},{"name":"GCP","optional":false},{"name":"Honeycomb","optional":false},{"name":"OpenTelemetry","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"TypeScript","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-11-15T17:02:57Z","employer_posted_date":"2026-11-15","last_verified_at":"2026-11-15T18:29:31Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About the Role\nJoin a small engineering team building voice AI agents for customer-facing business workflows. You will own projects end-to-end, shaping technical decisions and shipping reliable systems across applied AI, real-time audio, and distributed infrastructure.\nWhat You'll Do\nBuild fast, reliable voice AI systems, including retrieval-augmented generation, dynamic model routing, and testing transcription systems before production rollout.\n\nDesign and operate distributed call scheduling systems that handle concurrent workloads, race conditions, time zones, retries, and provider limits.\n\nExtend agents to support calls, messaging, and email with shared memory and state across real-time and asynchronous conversations.\n\nDevelop memory and reasoning systems that preserve context throughout customer workflows.\n\nBuild AI tools that configure agents, help diagnose issues, and connect with business systems such as CRMs, calendars, and email.\n\nImprove observability and resilience so failures across calls, workers, and providers can be traced and addressed.\n\nWhat We're Looking For\nExperience shipping and owning product software end-to-end, including distributed systems in production.\n\nProduction experience with Python, FastAPI, or TypeScript, and data stores such as PostgreSQL or Redis.\n\nExperience with real-time systems, audio processing, or voice infrastructure, plus practical work with LLMs, AI models, or agentic systems.\n\nUnderstanding of concurrency, race conditions, load balancing, and fault tolerance, as well as cloud infrastructure on AWS, GCP, or Azure.\n\nFamiliarity with workflow orchestration or message queues, and observability tools such as OpenTelemetry or Honeycomb.\n\nComfort working across backend and, where useful, frontend systems such as React. Strong software fundamentals, independent problem-solving, and a focus on customer and business outcomes are important.\n\nExperience level may range from 2 to 10 or more years, with demonstrated ownership of production projects.\n\nCompensation & Benefits\n€85,000 to €160,000 annually, plus equity. 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