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Backend Lead - AI-Powered Product
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.
Requirements
- 6+ 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.
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Responsibilities
- Lead 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.
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Tech stack: Python 3.13, asyncio, Kubernetes, Kafka, PostgreSQL, HTTP/gRPC, ELK, Grafana.
What We Offer
- The 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
- Company-paid subscriptions to top AI tools (ChatGPT, Claude, Cursor, and others)
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Skills
Python
Asyncio
Kubernetes
Kafka
PostgreSQL
LLM
Agentic AI Frameworks
Distributed Systems
Engineering Leadership
gRPC
ELK Stack
Grafana
System Observability
Backend Architecture
LangGraph
Technical Direction
Location