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We’re building the next generation of real-time conversational AI systems.
Our agents operate under real production traffic, where latency, scalability, reliability, and engineering quality are critical. We’re looking for a Senior AI Software Engineer to design and build the production systems that allow these agents to respond intelligently and reliably in real time.
This is not an R&D or research role.
This role sits at the intersection of AI engineering, backend systems, and distributed real-time architecture.
You will take ownership of complex production systems behind our AI agents, including low-latency backend services, event-driven pipelines, agent orchestration, and the infrastructure patterns required to operate them at scale.
We also believe that modern software engineering is changing. The strongest engineers are no longer measured only by how much code they write manually, but by how effectively they can design systems, orchestrate AI coding agents, and validate AI-generated work without compromising quality.
What You’ll Do
Requirements
Expert-level Python skills and strong experience building production backend systems.
Advanced knowledge of Python asynchronous programming, including asyncio, concurrency, and multiprocessing.
Strong experience with FastAPI and API architecture.
Experience building low-latency, high-throughput, or real-time systems in production.
Strong understanding of distributed and event-driven system design.
Hands-on experience with technologies such as:
Experience building AI agents, LLM applications, or AI orchestration platforms.
Production experience with modern AI technologies such as LangChain or equivalent frameworks, MCP, LLM APIs, and real-time communication platforms such as LiveKit or equivalent.
Strong understanding of scalable architecture, system decomposition, modularity, resilience, and fault tolerance.
Experience with observability, performance profiling, latency optimisation, load testing, and production debugging.
Strong software engineering fundamentals, including clean architecture, maintainability, and automated testing.
Comfort working with Docker, Linux, CI/CD pipelines, Kubernetes fundamentals, and at least one major cloud platform such as GCP, AWS, or Azure is a strong advantage.
You should already be using AI coding tools such as Claude Code, Codex, Cursor, Gemini CLI, or equivalent tools as part of your daily engineering workflow.
We are looking for engineers who know how to:
Using AI tools is not a substitute for strong engineering fundamentals. You must be able to understand, challenge, and take full ownership of everything that enters production.
Comfort working closely with AI researchers, product teams, and infrastructure engineers to turn experimental capabilities into reliable production systems.
Eligibility to work in France is required.
Benefits
What we offer
