Backend Engineer | AI Start-up | | Python / GO | 7-Month fixed-term Contract
Join a European deep-tech leader in quantum and AI.
A well-funded, fast-growing company backed by major global investors with its groundbreaking technology is already transforming AI, compressing large language models by up to 95% and cutting inference costs by 50–80%.
This is your chance to be part of a team often described as a “quantum-AI unicorn in the making.”
This is a Hybrid opportunity working out of Zaragoza.
Required Qualifications
- 2–5 years of experience developing and maintaining backend systems in Python or Go .
- Strong understanding of RESTful API or gRPC design, versioning, and performance optimization.
- Experience with Docker and basic familiarity with Kubernetes for deploying scalable services.
- Solid understanding of relational databases (PostgreSQL / MySQL) and schema design.
- Experience integrating or automating workflows across multiple systems (data, CI / CD, ML).
- Proficiency with Git, testing frameworks, and CI / CD pipelines (GitLab, GitHub Actions).
- Experience with AWS or cloud-based deployment environments.
- A product-oriented mindset — able to turn R&D scripts or prototypes into stable, usable APIs or microservices.
Preferred Qualifications
Experience with ML workflow orchestration (Flyte, Airflow, MLflow, or Kubeflow).Exposure to LLM inference / deployment tools (vLLM, Hugging Face Hub, NVIDIA NIM, or Triton).Experience building or integrating benchmarking, evaluation, or data automation pipelines.Familiarity with message queues or event-driven architectures (Kafka, NATS, RabbitMQ).Understanding of observability tooling (Prometheus, Grafana, OpenTelemetry).Perks & Benefits :
Compensation : Competitive salary, with a signing bonus and a retention bonus at the end of the contract.Flexibility : This is a hybrid role with flexible working hours. A relocation package is available if needed.Culture : We are a fast-scaling company committed to equal pay, diversity, and an inclusive culture. You'll gain international exposure in a multicultural, cutting-edge environment.Interested? Apply directly through LinkedIn, or send your CV to
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