4 meilleures offres (software engineer (mlops), paris 1er, a8) (à pourvoir)

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AI Software Engineer (Real-Time Systems)

GetVocal AI
Paris (75)

Postuler rapidement

Détails de l'emploi

Qualifications

Kubernetes
Docker
Production
Intelligence artificielle
Python

Description complète du poste

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)

Postuler rapidement

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software engineer (mlops) emplois - paris 1er, a8

AI Software Engineer (Real-Time Systems)

Software Engineer (MLOps) - H/F/NB

Open-Source Software, Machine Learning Engineer

Senior Software Engineer (Platform)

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Je souhaite recevoir la dernière alerte Emploi pour les postes de ce type : software engineer (mlops) (paris 1er, a8)

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