4 дня назад
Lead Backend Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Backend Engineer (AI): Leading backend development and building a scalable internal LLM agent framework with an accent on asynchronous Python, distributed systems, and platform architecture. Focus on designing high-throughput parallel processing, integrating third-party services, and ensuring observability and reliability in production.
Location: Fully remote across Europe
Company
AI product development focused on speech technologies, NLP, generative AI, and privacy-first voice agent architectures for enterprise use.
What you will do
- Lead a small backend team, owning decomposition, estimation, prioritization, and delivery.
- Develop and scale the internal LLM agent framework, including throughput and parallel processing.
- Build and maintain integrations with third-party services.
- Extend platform architecture to support evolving product requirements.
- Coordinate backend and platform ownership with adjacent teams and align architectural decisions.
- Improve system observability and reliability through metrics, tracing, and monitoring.
Requirements
- 6+ years of experience building and shipping production software.
- 3+ years of hands-on experience with asynchronous Python in production.
- 2+ years of technical engineering leadership experience.
- Strong background in complex distributed systems, platform infrastructure, or high-scale backend architecture.
- Practical experience with LLMs and agentic AI frameworks such as LangGraph.
- Ability to define technical direction, manage ambiguity, and own delivery end to end.
Culture & Benefits
- Fully remote work across Europe.
- Startup pace with enterprise stability, real clients, and no bureaucracy.
- 21 vacation days, public holidays, and 5 sick days.
- Private English lessons through Preply.
- Company-paid subscriptions to AI tools including ChatGPT, Claude, and Cursor.
- Work on production AI products involving speech technologies, NLP, generative AI, and on-premises deployment.
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