AI Platform Engineer (España)

AI Platform Engineer (España)

10 nov
|
Axiomatic-AI
|
España

10 nov

Axiomatic-AI

España

Join to apply for the AI Platform Engineer / AI Infrastructure Engineer role at Axiomatic_AI

About us
Axiomatic_AI is dedicated to accelerating R&D; by developing the next generation of Automated Interpretable Reasoning, a verifiably truthful AI model built for reasoning in science and engineering. We empower engineers in hardware design and Electronic Design Automation (EDA), with a mission to revolutionize the fields of hardware design and simulation in the photonics and semiconductor industry. Position Overview As an AI Platform Engineer, you will bridge AI research and production software, building and maintaining AI infrastructure, enabling developers to deploy work safely, and designing APIs for AI inference, prompt management, and evaluation. You will also implement MLOps pipelines, optimize performance, and collaborate closely with backend engineers.

Key Responsibilities
Build and maintain AI infrastructure: model serving, vector databases, embedding pipelines. Implement MLOps pipelines: versioning, monitoring, logging, experimentation tracking. Optimize performance: latency, cost, throughput, and reliability.



Collaborate with backend engineers to integrate AI capabilities. Monitor model performance, drift, and set up logging and observability. Build CI/CD pipelines for model deployment. Mentor AI developers on software practices. Required Skills & Experience 7+ years of software engineering experience (Python preferred). Knowledge of vector databases: Cloud infrastructure

experience:
GCP (Vertex AI preferred) or AWS (SageMaker). FastAPI, REST, async programming. CI/CD and DevOps: Docker, Terraform, GitHub Actions. Monitoring and observability. Nice-to-Have Fine‑tuning or training models. Prompt engineering and evaluation techniques. Background in data engineering or ML engineering. Contributions to open‑source AI/ML projects. Python, Bash. Backend: FastAPI, SQLAlchemy, Pydantic. Cloud: GCP (Vertex AI, Cloud Run), Terraform. CI/CD: GitHub Actions. Containers: Docker; Kubernetes optional. Versátil work arrangements with potential remote options. Why Join Us At Axiomatic_AI we drive innovation in AI for scientific and engineering applications.

📌 AI Platform Engineer (España)
🏢 Axiomatic-AI
📍 España

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