Descripción de la oferta
We're expanding the Backend Lead behind an AI-powered product built on modern LLM technologies. You will own the platform services domain, partnering closely with product and engineering to turn ambitious ideas into scalable, production-ready systems.No deje pasar esta oportunidad, inscríbase rápidamente si su experiencia y habilidades coinciden con lo que se indica en la siguiente descripción.Requirements6+ years of experience building and shipping production software.3+ years of hands-on experience with asynchronous Python in production environments.2+ years of engineering leadership experience, leading teams through execution while remaining deeply technical.Strong background designing and evolving complex distributed systems, platform-level infrastructure, or other high-scale backend architectures.Thrive in high-autonomy environments: able to define technical direction, break down ambiguous problems, prioritize work, and deliver results without detailed specifications or constant guidance.Product-minded engineering approach: take end-to-end ownership of features - from shaping technical solutions and planning execution to identifying risks early, coordinating with cross-functional teams, and driving successful delivery.Strong technical leadership skills: able to provide thoughtful feedback, setting a high technical bar, while making decisions that maximize team effectiveness.Practical experience building with LLMs and agentic AI frameworks (e.g. LangGraph or similar), combined with an up-to-date understanding of the rapidly evolving AI ecosystem and engineering best practices.Comfortable operating in fast-moving, high-ambiguity environments, where requirements evolve, priorities shift, and engineers are expected to shape solutions rather than simply implement predefined tasks.ResponsibilitiesLead a small backend team, owning execution – decomposition, estimation and prioritization.Continuously assess team performance and growth and adjust team composition when needed – all without disrupting delivery.Build and maintain integrations with third-party services.Develop our internal LLM agent framework, with a focus on scalability, throughput, and parallel processing.Extend and refine platform architecture to meet the project’s evolving needs.Technically lead the backend/platform track: break down complex work into clear tasks and build processes around product goals.Adapt quickly as priorities shift – work in short feedback loops, keep the team aligned, and drive work through to completion.Work closely with other teams: align on architecture and integrations, understand ownership boundaries, and decide what your team owns versus what can be handed off.Ensure system observability and reliability through metrics, tracing, and monitoring.Tech stack: Python 3.13, asyncio, Kubernetes, Kafka, PostgreSQL, HTTP/gRPC, ELK, Grafana.What We OfferThe team has built award-winning AI products for tech corporations: devices, voice assistants, products that are actually in the world.Cutting-edge tech stack: Speech Technologies, NLP, Generative AI (LLMs, diffusion models), voice-first agentic architecture with privacy-first and on-premises deployment.High engineering bar and real ownership: the team cares about what actually works in production, not what looks good in a demo, and you'll see the impact of your work directly.Fast career progression: a senior-heavy team and a high volume of real problems means you grow faster than you would anywhere else.Startup pace with enterprise stability: real clients, real revenue, no bureaucracy.Fully remote across Europe.21 vacation days + public holidays + 5 sick days.Private English lessons via Preply. xcskxlj Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others).#J-18808-Ljbffr
