# AI Software Engineer (Real-Time Systems)

**Company:** [GetVocal AI](http://jobs.workable.com/companies/wd8s92hkYhRkQwFZzhLd2G.md)
**Location:** Paris, France
**Workplace:** hybrid
**Department:** Tech

[Apply for this job](http://jobs.workable.com/view/7f4a225b-e8fe-4b4e-91e2-8193a5939b58)

## Description

**The Role**

We’re building the next generation of real-time conversational AI systems.

Our research team is focused on advancing the intelligence layer of our agents. What we’re missing is a strong engineer to own the **execution layer** — the systems that make this intelligence work reliably, at scale, and in real time.

This role sits at the intersection of **AI, backend engineering, and infrastructure**.

You will take ownership of the engineering backbone behind our AI agents: performance, latency, reliability, and scalability.

**What you’ll do**

-   Own and evolve the backend systems powering our conversational AI platform.
-   Design, build, and optimise real-time systems with a strong focus on latency and performance.
-   Maintain and improve our server stack, pipelines, and production infrastructure.
-   Develop scalable APIs and services using Python and FastAPI.
-   Work closely with the AI research team to integrate new models, ideas, and agent capabilities into production.
-   Support and optimise integrations with multiple AI providers.
-   Identify bottlenecks, fix bugs, resolve tickets, and continuously improve system reliability.
-   Drive improvements in data accuracy, system performance, and real-time responsiveness.
-   Write a significant amount of production code and continuously improve existing systems.

## Requirements

**What we'are looking for**

-   Strong backend engineering fundamentals with a product mindset.
-   Expert-level Python skills and experience building production systems.
-   Strong experience with FastAPI and asynchronous programming.
-   Experience building low-latency, high-throughput systems in production environments.
-   Hands-on experience with MLOps tooling (Docker, Kubernetes, GPU workloads).
-   Experience working with LLMs, AI agents, or deploying AI systems into production.
-   Ability to work closely with research teams and translate ideas into scalable systems.
-   High ownership, speed, and pragmatism.
-   Background from top engineering schools in France is a strong plus.

**What this role is**

-   This is not a research role.
-   You will not be writing papers or training foundation models.
-   You will be the person who makes AI actually work in production.

## Benefits

**What we offer**

-   High ownership and autonomy
-   Diverse, international team across Europe
-   Exposure to cutting-edge AI, voice, and enterprise deployments
-   Fast-paced environment with strong learning curve
-   25 days holiday + public holidays
-   Private healthcare (based on country- but for France it's 50% coverage for you, and 100% Coverage for your kids
-   Swile (France only)
-   Pension contribution
-   ESOP/VSOP (shares)