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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткий фокус на голосовых AI-системах и широкая инженерная ответственность делают роль интересной, но формат стартапа и ограничение по Греции сужают возможности.
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Software Engineer (AI/Python): Building real-time voice services for phone and web conversations with an accent on call handling, customer-tool integrations, conversational latency, and distributed messaging. Focus on designing resilient services, evaluating conversation quality, and running voice workloads with Docker and Kubernetes.
Location: Remote within Greece; candidates must be located in Greece.
Company
hirify.global GmbH is a Swiss startup building AI voice agents for real-time phone and web conversations connected to business tools.
What you will do
Build Python services around a LiveKit-based real-time voice platform, including call handling, events, and integrations with CRMs, calendars, and ticketing tools.
Improve conversational behavior, including turn-taking, speech pipeline latency, prompting, and tool calls.
Design messaging and real-time data services using NATS, Kafka, and Redis-compatible stores, including failure handling, retries, and backpressure.
Build evaluation systems with test calls, benchmarks, and metrics.
Run services in the cloud with Docker and Kubernetes, supported by reliable metrics, logs, and traces.
Participate in code reviews, technical discussions, and architectural planning.
Requirements
Applicants may be graduates, early-career engineers with substantial hands-on projects, mid-level engineers, or senior engineers; scope and pay follow experience.
Solid Python skills; asyncio and FastAPI or similar are required for mid-level and senior positions.
Good fundamentals in Git, APIs, testing, and debugging.
An evaluation mindset: measuring before and after changes and trusting metrics over impressions.
Essential English proficiency, written and spoken; English is the working language.
Calm, systematic debugging during live-call failures, ownership from the first bad call through the production fix, independent work in a distributed team, and clear documentation.
Nice to have
Real-time audio or conversational AI experience, including speech recognition, speech synthesis, voice activity detection, LLM APIs, LiveKit Agents, pipecat, or WebRTC.
Distributed systems and messaging experience with NATS or Kafka, including idempotency and backpressure.
GPU model serving with vLLM or similar, or fine-tuning speech and language models.
SIP and VoIP basics, TypeScript, or Go.
Docker, Kubernetes, AWS, and observability with OpenTelemetry and Grafana.
German is a plus because many calls are in German.
Culture & Benefits
Fully remote work or work from a co-working space.
Company laptop and phone provided for all employees.
Small, agile, collaborative team with direct impact on the product.
Opportunity to work across the full voice stack, from phone lines to models, and grow toward a preferred area.
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